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Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Spain. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Spain, the compensation range for this role is EUR 94,025 - EUR 112,830 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Ireland. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Ireland, the compensation range for this role is EUR 117,600 - EUR 141,120 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Germany. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Germany, the compensation range for this role is EUR 109,709 - EUR 131,651 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Egypt; India; Pakistan; Serbia; Croatia; Poland About Us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges. About the Client: Join one of Egypt’s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery. About the Role We are seeking a seasoned Senior Azure Administrator with a powerful dual background in both Cloud and On-Premises infrastructure to join our elite Data & AI department. In the Egyptian banking sector, compliance and data residency require a sophisticated hybrid approach. In this role, you won't just manage the cloud; you will be the critical bridge connecting our heavy on-premises data legacy systems (like enterprise data warehouses and local servers) with cutting-edge Azure environments. You will ensure seamless data pipelines, high availability, and airtight security across our entire hybrid data estate. Key Responsibilities Infrastructure Integration: Design, deploy, and maintain the connective tissue between our on-premises data centers and Azure. Cloud Infrastructure Management for Data & AI: Provision, configure, and optimize enterprise-grade Azure resources tailored for data workloads, including Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse Analytics, and Azure Machine Learning environments. On-Prem & Cloud Security Hardening: Enforce strict identity governance across hybrid environments by aligning on-premises Active Directory (AD) with Microsoft Entra ID . Manage secrets across environments and implement network security boundaries that satisfy Central Bank of Egypt (CBE) regulations. Automation & Infrastructure as Code (IaC): Standardize deployment processes across both cloud and local infrastructure using Terraform or Azure Bicep , integrating them into CI/CD pipelines via Azure DevOps to support unified DataOps workflows. Hybrid Disaster Recovery & Monitoring: Architect and test robust Backup and Disaster Recovery (BCDR) strategies that guarantee zero data loss across both local storage arrays and Azure Data Lakes, maintaining continuous visibility through unified monitoring tools. Requirements On-Premises Infrastructure (STRICT MUST): Deep, hands-on experience managing traditional on-premises enterprise data centers is non-negotiable. You must have a strong background in virtualization (VMware/Hyper-V), physical networking, storage area networks (SAN), and Windows/Linux server administration before or alongside your cloud career. Professional Experience: 5 + years of total experience in IT infrastructure/system administration, with at least 3+ years of dedicated, hands-on experience specializing in Azure Cloud Administration within a complex, hybrid architecture. Banking & Financial Sector Experience: Mandatory prior experience working inside a regulated bank or financial institution in Egypt, showing a clear understanding of CBE cloud governance, local data residency laws, and audit readiness. Technical Mastery of Data Ecosystems: Proven familiarity with connecting cloud services to on-premises data repositories (such as SQL Server or Teradata). Solid knowledge of containerized environments ( AKS/Docker ) and enterprise data pipelines is highly advantageous. Education & Elite Certifications: * Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a relevant technical field. Microsoft Certified: Azure Administrator Associate (AZ-104) is required. Preferred: Certifications reflecting hybrid/security expertise, such as Azure Stack Hub/Arc familiarity or Azure Security Engineer (AZ-500) . Soft Skills: Exceptional troubleshooting skills for complex hybrid routing or latency issues, a proactive mindset, and fluency in English. Benefits Attractive, market-leading salary package Clear career advancement path with professional development opportunities

Location: United States POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2.2B) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a Senior Technical Account Manager at Incode, you own the end-to-end technical relationship for a portfolio of strategic accounts. You're not an escalation path, you're a proactive technical partner embedded in the customer's world, translating complex integration challenges into delivery plans, keeping production environments healthy, and making sure Incode's products work the way they were designed to. The Incode TAM role spans more ground than most: you'll operate as a solutions engineer, escalation point, implementation consultant, technical project manager, and trusted advisor depending on the day. The people who thrive here are comfortable with that range. They're resourceful, autonomous, technically deep, and genuinely motivated by customer outcomes. What You’ll Own & Drive Technical Relationship • Serve as the primary technical point of contact for one or more strategic accounts across financial services, telecom, healthcare, and enterprise verticals • Build trusted relationships with customer engineering teams, architects, and platform owners. Be present and credible in technical conversations at every level • Maintain deep familiarity with each account's integration architecture, production environment, and technical roadmap Implementation & Integration • Lead and project manage technical onboarding for new use case and new product deployments • Provide hands on guidance on Web and Mobile SDK integration, REST/webhook architectures, and backend configuration patterns • Review integration designs, identify risks, and recommend architectural adjustments before they become production problems Production Health & Incident Response • Monitor account health, proactively identify degradation risks, and drive resolution before customers feel it • Lead technical bridges during incidents: coordinate internal engineering, communicate clearly with customer stakeholders, and drive postincident reviews • Own change and release management for your accounts: coordinate upgrade windows, test plans, and rollback procedures Customer Advocacy & Internal Coordination • Translate customer pain into actionable product feedback, synthesize patterns across accounts and bring them to Product and Engineering with clarity and data • Pull the right internal resources (Product, Engineering, Support) behind the scenes so customers experience a unified Incode team • Collaborate closely with your aligned Account Director on account strategy, health, and expansion opportunities GenAI & Continuous Improvement • Actively build and share AI assisted workflows that reduce repetitive work, accelerate customer onboarding, and improve documentation quality • Contribute to the TAM team's shared knowledge base, playbooks, runbooks, and integration guides that make the whole team better The Qualities That Set You Apart Proven Multi-Account Manager – You manage multiple complex accounts simultaneously without dropping threads. Clear Communicator – You can explain a technical problem to a CISO and an integration error to a backend engineer in the same conversation. Autonomous Operator – You don't wait to be told what to do — you're experienced operating in ambiguous environments with minimal guidance. Proactive Problem Solver – You have a track record of identifying and resolving issues before they escalate. Your Background Technical Depth – Required • 3+ years in a technical customer facing role: TAM, Solutions Engineer, Implementation Consultant, Customer Success Engineer, or equivalent • Strong working knowledge of REST APIs, webhooks, and async integration patterns | you can review an API design and spot problems • Hands on experience with Web and/or Mobile SDK integration (iOS, Android, JavaScript/TypeScript) • Proficiency with SQL for log analysis, troubleshooting, and operational reporting • Ability to build and interpret data analysis and reporting artifacts, usage trends, account health metrics, SLA tracking, and operational dashboards that inform both customer conversations and internal decisions • Comfort with cloud infrastructure fundamentals (AWS preferred), you don't need to be a DevOps engineer, but you need to understand deployment models • Scripting ability (Python, Bash, or equivalent), you automate your own repetitive work • Proven ability to manage multiple complex accounts simultaneously without dropping • Strong written and verbal communication, you can explain a technical problem to a CISO and an integration error to a backend engineer in the same conversation threads • Experience operating autonomously in ambiguous environments, you don't wait to be told what to do • Track record of proactively identifying and resolving issues before they escalate Bonus • Experience with identity verification, fraud prevention, or biometric authentication • Familiarity with compliance frameworks relevant to enterprise customers (SOC2, PCI, GDPR/CCPA) • Prior experience at a high growth SaaS or fintech company Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will own the core build-out of the Operations Automation & Cloud Management Platform, focusing on the unified management and intelligent orchestration of multi-cloud products . By integrating with cloud provider APIs (Aliyun, AWS, Azure), the role builds full-lifecycle management capabilities across compute, storage, network, database, and middleware resources—combined with CMDB, Event Center, orchestration engines, and AI / LLM capabilities—to evolve from manual operations toward intelligent control and automated change, continuously improving operational efficiency and stability. What You’ll Be Doing Design and develop the Operations Automation & Cloud Management Platform, building full-lifecycle management capabilities for multi-cloud resources across compute, storage, network, database, and middleware; Integrate with cloud provider APIs (Aliyun, AWS, Azure) and Terraform to enable unified onboarding, automated provisioning, configuration changes, and cost optimization of cloud products; Own the design and development of core systems including CMDB, Event Center, and orchestration engines , building a unified data foundation for resources, configurations, and events, and develop workflow engines, task schedulers, and approval mechanisms; Build intelligent cloud management capabilities , leveraging AI / LLM for intelligent orchestration, change-risk assessment, and capacity/cost prediction, driving the evolution from manual operations to intelligent control; Explore the application of AI / LLM in cloud management , building an intelligent ops assistant (ChatOps / AI Copilot) to support natural-language-driven cloud resource operations and smart ticket handling; Design and maintain unified RESTful / gRPC interfaces and SDKs, and participate in platform security (OIDC, IAM Role, RBAC, audit) and operations. What We Look For In You Bachelor's degree or above in Computer Science, Software Engineering, or related fields; Proficient in Java , familiar with Spring / Spring Boot / Spring Cloud; Development or integration experience in multi-cloud resource management (Aliyun, AWS, Azure) and cloud provider APIs / Terraform ; Strong API design and system integration skills, with understanding of distributed architecture; Experience designing or developing CMDB, orchestration engines, or event centers; Knowledge of AI / LLM application development (Prompt Engineering, RAG, Agent), able to integrate AI into cloud management and operations scenarios; Excellent problem-solving skills and strong code-quality awareness. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role exists to ensure the physical safety, regulatory compliance, and operational resilience of Mistral's HQ. As a member of the global security team, you will shape and execute the HQ's physical security strategy for one of the world’s leading AI companies, directly impacting the protection of employees, assets, and intellectual property. Your work will establish Mistral's HQ as a benchmark for physical security in the tech sector, enabling business growth while mitigating risks in a cutting-edge, AI-driven environment. You will own the end-to-end physical security framework—from access control and surveillance to crisis response—collaborating closely with French authorities (Police, Gendarmerie, ANSSI) and internal stakeholders. This is a unique opportunity to build a scalable, compliant, and innovative security model that sets the standard for Mistral's expansion across Europe. WHAT YOU WILL DO - Define and implement a unified physical security strategy for Mistral AI’s France facilities, aligning global policies with local regulations. - Lead the consolidation and management of security vendors under SLAs, ensuring performance, cost-efficiency, and compliance. - Establish a regulatory compliance program to achieve 100% adherence to French/EU laws (CNIL, RGPD, NIS2) and industry standards (ISO 27001/28000). - Deploy state-of-the-art security technologies, including AI-powered surveillance, access control, and intrusion detection systems. - Develop and test crisis response frameworks, including emergency protocols for evacuations, lockdowns, and high-impact incidents. - Formalize liaison protocols with French authorities to enable threat intelligence sharing and collaborative security measures. - Optimize the France security budget (€1M–3M/year) through vendor consolidation, efficiency gains, and risk-based prioritization. - Measure and report on security performance, ensuring zero major incidents and continuous improvement of safety standards. WHAT WE ARE LOOKING FOR - Proven experience designing and implementing physical security programs for large, high-stakes facilities or multi-site operations. - Vendor management expertise with a track record of consolidating, negotiating, and optimizing security service contracts (e.g., guard services, CCTV, access control). - Crisis leadership with hands-on experience developing and testing emergency response protocols for incidents like protests, cyber-physical threats, or natural disasters. - Deep knowledge of French/EU compliance frameworks (CNIL, RGPD, NIS2, ISO 27001/28000) and a history of leading audits or certifications. - Builder mentality—thrives in ambiguous environments, turning strategy into scalable, operational security solutions. - Data-driven decision-making—uses KPIs, risk assessments, and metrics to continuously improve security posture. - Resilience under pressure—maintains clarity and effectiveness in high-stakes, fast-evolving situations. - Uncompromising integrity—upholds the highest ethical standards, ensuring confidentiality and trust in sensitive contexts. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry, Databases This is a remote position. We are looking for candidates in the Canadian time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases department owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . We offer our databases as a Cloud service supporting Grafana Cloud. Adaptive Telemetry Group The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics , Adaptive Logs , Adaptive Traces and Adaptive Profiles. Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. What will you be doing: Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions. Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives. Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable. Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence. Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR. Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives. Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs. Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact. Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost. Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy. Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end. Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well. Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow. Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents). Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment. Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 192,891 - CAD 231,469 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases department owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . We offer our databases as a Cloud service supporting Grafana Cloud. Adaptive Telemetry Group The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics , Adaptive Logs , Adaptive Traces and Adaptive Profiles. Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. What will you be doing: Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions. Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives. Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable. Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence. Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR. Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives. Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs. Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact. Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost. Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy. Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end. Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well. Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow. Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents). Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment. Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 189,374 - USD 227,249 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience.1 In Ireland, the Base compensation range for this role is €117,600 - €141,120.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

About the Role The Product Owner will be responsible for all Tangem Pay (TP) related products, including payment flows, internal tooling, financial rails, and monitoring capabilities. The role focuses on product execution, reliability, and operational scalability, rather than commercial ownership. Key Responsibilities Product Leadership & Scope — Own the product vision, roadmap, and success metrics across all Tangem Pay products, not limited to on/off-ramp or local payments. — Ensure alignment between payment experiences, internal operations tooling, financial infrastructure, and monitoring platforms. — Translate company-level strategy into executable product initiatives across TP squads. Execution & Squad Collaboration — Work across four core squads: Operations / Admin Panel Squad (internal tools for ops, support, and dispute handling), Payment Product Squad (user-facing payment flows and experiences), Financial Rails Squad (integrations with external payment schemes and providers), Monitoring Platform Squad (transaction monitoring, alerts, and operational visibility). — Manage the full product lifecycle: discovery → specification → delivery → launch → iteration. — Maintain clear documentation, user stories, acceptance criteria, and sprint planning. Payment Infrastructure & Financial Rails — Drive integrations with local and global payment schemes (ACH, SEPA / SEPA Instant, PIX, UPI, SPEI, etc.) via API partners or direct connections. — Collaborate with backend teams on scalable orchestration, settlement, reconciliation, and failure-handling flows. — Ensure reliability and consistency of payment processing across regions. Admin Panel & Operations Enablement — Own the admin panel and internal tooling used by operations, compliance, and support teams. — Ensure scalable workflows for transaction reviews, disputes and exceptions, settlements and reconciliation, customer support escalation. — Balance operational efficiency with compliance and risk requirements. Compliance, Risk & Monitoring — Partner with compliance teams to enable reusable and consistent KYC/KYB flows across TP products. — Collaborate with risk and monitoring squads to support fraud and AML monitoring, alerting and case management, audit-ready data and logs. — Ensure smooth partner audits and regulatory interactions. Cross-Product & Platform Collaboration — Collaborate closely with Wallet, Infrastructure, and Growth teams to ensure unified UX and interoperability. — Align frontend and backend experiences across all TP-related products. Requirements Experience — Hands-on experience with payment rails and financial infrastructure. — Experience working with multiple squads in parallel. — Strong background in API-driven, compliance-heavy systems. Skills — Deep understanding of payment systems, settlement cycles, and integration patterns. — Ability to translate complex technical and regulatory constraints into clear product requirements. — Strong communication skills across engineering, compliance, operations, and leadership. — Data-driven approach to defining and measuring product success. Mindset & Leadership — Strong ownership mentality focused on delivery and reliability. — Comfortable operating in ambiguous, fast-changing environments. — Global mindset with experience working across regions and time zones. Success Metrics 1. Product Delivery & Coverage — Number of Tangem Pay payment schemes and platform components launched within planned timelines. — Speed to launch new geographies, partners, and platform capabilities. — API and platform integration quality. 2. User Adoption & Platform Usage — Monthly active users of Tangem Pay payment features across regions. — Volume and value of transactions executed via Tangem Pay payment rails. — Conversion rates from onboarding to first successful transaction. — Cross-product activation rates. 3. Operational Excellence — Transaction success rate (STP). — Payment and platform failure rates and root-cause reduction over time. — Average processing time versus scheme and internal platform benchmarks. — Reduction of customer support and operations tickets related to Tangem Pay products. 4. Compliance & Risk Performance — Reuse rate of unified KYC/KYB across Tangem Pay products. — False-positive reduction in fraud/AML monitoring. — Regulatory incident rate and smooth audits. What we offer — Stability, development, participation in the future unicorn's growth. — Remote work from anywhere in the world, with a schedule aligned with GMT+3. — Competitive salary in EURO/USDT. Application If you're interested, feel free to share your CV in one click HERE.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. What we own The dbt transformation layer across business domains The Single Source of Truth (SSOT) for key business metrics Semantic models that enable consistent reporting and analytics Data contracts and governance standards across domains Data lineage, documentation, and discoverability Data quality, testing, and monitoring to ensure trusted data products Team Structure The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are hiring a Principal Engineer to help define the technical direction for core product experiences at 1Password. This is a senior individual contributor role for an engineer who can translate ambitious product strategy into systems that scale technically and operationally. You will drive architecture, engineering standards, and technical direction across the product ecosystem, working across client applications, distributed services, data platforms, and shared infrastructure to build experiences that are secure, reliable, performant, and maintainable.This is not a role scoped to a single team or subsystem. The expectation is organization-level technical leadership: shaping how Product Engineering approaches complex cross-cutting problems, guiding long-term architectural investments, and establishing the technical patterns and operational standards other teams build against. You will operate across the full lifecycle of product engineering work, from architecture and system design through production operations and long-term evolution. Success in this role requires balancing product velocity with engineering durability, making pragmatic technical tradeoffs, and driving alignment across teams with different priorities and constraints. You will help evolve the next generation of 1Password’s product architecture, including the responsible integration of AI capabilities into core product experiences. Security and privacy by default, cross-platform consistency, operational resilience, and enterprise-scale reliability are foundational requirements that must be reflected in every architectural decision. If you want to build systems used daily by millions of individuals and hundreds of thousands of businesses, and solve engineering problems where distributed systems, reliability, usability, security, and intelligent automation all matter simultaneously, this is that role. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have designed and operated large-scale distributed systems where reliability, scalability, maintainability, and operational excellence matter. - You have deep experience driving architecture and technical direction across multiple teams, organizations, or product domains. - You have strong systems-thinking instincts and can reason effectively about platform boundaries, distributed systems constraints, developer ergonomics, and long-term technical sustainability. - You have experience building customer-facing product systems across clients, APIs, distributed services, cloud infrastructure, and data platforms. - You have experience building or scaling event-driven systems, microservices architectures, or shared platform infrastructure in production environments. - You have practical experience integrating AI or ML capabilities into production applications and understand the engineering tradeoffs involved in introducing AI into trust-sensitive product experiences. - You have strong instincts for privacy-preserving and security-conscious system design, including thoughtful handling of telemetry, user data, permissions, and auditability. - You are effective at driving alignment across teams with different incentives, priorities, and technical perspectives. - You communicate clearly with engineers, executives, and cross-functional partners, and can explain complex technical tradeoffs in practical terms. - You are comfortable operating in ambiguity and helping organizations make durable technical decisions before every variable is known. Bonus points for: - Experience in identity, authentication, authorization, secrets management, enterprise security, or trust-oriented product domains. - Experience building large-scale event-driven or multi-region distributed systems in cloud environments. - Experience building cross-platform applications or shared platform architectures at scale. - Experience with developer platforms, internal engineering frameworks, CI/CD systems, or large-scale infrastructure modernization initiatives. - Experience integrating LLMs or AI-assisted workflows into customer-facing SaaS applications. - Experience with endpoint trust, browser or extension security, enterprise administration workflows, or device posture systems. - Experience mentoring engineers and raising the engineering bar across organizations through technical leadership and operational excellence. What you can expect: - Define architecture and technical direction for core product capabilities spanning clients, distributed services, data platforms, and shared infrastructure. - Establish engineering standards and reusable architectural patterns for scalable, maintainable, and resilient product systems across Product Engineering. - Drive long-term technical strategy across critical product areas, balancing immediate delivery needs with scalability, operational excellence, and platform sustainability. - Partner closely with Product, Design, Security, Privacy, Infrastructure, and Data teams to ensure technical decisions support both customer outcomes and long-term operational durability. - Guide how AI-powered capabilities are integrated into customer-facing product experiences, ensuring systems are reliable, observable, operationally safe, and aligned with customer trust expectations. - Define engineering expectations for AI-enabled product systems, including evaluation frameworks, rollout safety, telemetry, fallback behavior, auditability, and operational controls. - Establish shared platform capabilities and infrastructure patterns that allow teams to build product features consistently across clients, services, APIs, and AI-assisted workflows. - Influence and drive key architectural decisions around distributed systems design, event-driven architectures, synchronization models, scalability, performance, reliability, extensibility, and platform interoperability. - Help teams navigate difficult technical tradeoffs, unblock large cross-functional initiatives, and reduce systemic engineering complexity across the organization. - Raise the operational bar for production systems through stronger reliability practices, observability standards, incident readiness, performance analysis, and engineering discipline. - Mentor and influence engineers across the organization through technical leadership, architecture reviews, design guidance, and hands-on problem solving. What success looks like: Success in this role means Product Engineering can scale product development without sacrificing reliability, maintainability, security, or customer trust. That includes: - Durable architectural patterns that enable teams to move faster with less duplication and lower operational overhead. - Product systems that scale reliably across platforms, enterprise environments, and growing customer complexity. - Engineering teams making more consistent technical decisions with clearer standards and stronger shared foundations. - AI-powered product experiences that are useful, measurable, trustworthy, and operationally safe. - Reduced systemic friction across development, delivery, observability, and cross-team coordination. - Stronger operational resilience, including improved reliability, debuggability, rollout safety, and incident response readiness. - Technical investments that improve long-term engineering velocity instead of creating organizational drag or platform fragmentation. USA-based roles only: The annual base salary for this role is between $246,000 USD and $369,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $228,000 CAD and $342,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 THE MISSION The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.   As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. WHAT YOU'LL OWN MCP SERVER PLATFORM   - Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack - Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch - Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable - Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server   AGENT ORCHESTRATION & AI-NATIVE PRODUCTS   - Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more - Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable - Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations - Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction   GTM PLATFORM ENGINEERING   - Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling - Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context - Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns - Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage   AI-NATIVE DEVELOPMENT PRACTICE   - Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight - Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds - Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience with production systems - Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code - Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling - Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch - Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users - Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management - Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness - Clear written communication: design docs, ADRs, and runbooks that others actually read - Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick STRONGLY PREFERRED - Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments - GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work - Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage - React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs - Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns - Experience in a GTM Systems, RevOps, or Sales Engineering context - Okta / identity provider integration work (PKCE flows, SCIM, token management) HOW WE OPERATE The Foundry runs on three principles that every team member is expected to embody:   - Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off. - Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality. - Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work. WHO THRIVES HERE This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.   This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Germany, the Base compensation range for this role is €109,709 - €131,651.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Spain, the Base compensation range for this role is €94,025 - €112,830.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .