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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: As a Manager of Solutions Engineering for Commercial at Grafana Labs, you will be responsible for all aspects of building and managing a team of high-performing Solution Engineers. You will own the regional build-out with your sales leader counterparts, adopting existing OSS Specific GTM strategies and developing new ones as needed. You’ll work with your Customer Experience counterparts to ensure that your customers are successful after the sale, in their adoption and roll-out of Grafana products through professional services, support, training, and customer success. You’ll work with marketing to drive community and adoption programs in the region designed to broaden the adoption of both OSS and commercial/cloud versions of our products. You’ll also work closely with Product Management and Engineering to ensure that we are constantly delivering value to our customers by influencing the roadmap, based on your customers and team feedback, as well as leveraging your own experience in the Monitoring and Observability space. All of this will be required for you to hit and then exceed your region's financial targets and ultimately, our company's goals. Your impact will be felt globally when the job is done well. What You’ll Be Doing: Attract, recruit, ramp, and mentor a team of great Presales SE’s from diverse backgrounds and experiences. Get the best out of your team with a coaching mindset and lead from the front approach.  Adopting a player/coach mentality will be critical here, ensuring that you balance your field responsibilities with the needs of your team. This role requires you to lead from the front! Executive sponsorship of key accounts in the region will be key to your success.  The right candidate will be a thought leader to customers and internally within Grafana Labs. Direct the bulk of your day-to-day work based on guidance and goals from your leadership, owning the planning, actions and outcomes of the region. Partner with Sales leadership on top of funnel programs, marketing initiatives and community/company events to drive awareness of Grafana’s brand and the problems we help solve. Understanding your key customers’ strategies for adoption of Grafana technologies and developing programs and collateral to enable them to be successful. Ensure that your customers’ requirements are being met with our product through partnership with Product Management and Engineering Own and report on the quarter over quarter cadence of your team while they help prospects evaluate our software with discovery, demonstrations, key stakeholder interviews, workshops and technical validation, including POVs and Mutual Account Plans Own your teams PG plan in partnership with your sales and sales leader counterparts, helping build pipeline for new logo targets What Makes You a Great Fit: Located on the West Coast 5+ years in the high tech industry having held roles such as Developer, Sales Engineer/Architect, Manager, etc. Direct experience mentoring, developing people and managing performance over time. Experience in Open Source selling or Cloud first/Product led sales go to market motion a big plus. Direct experience implementing and/or executing a formal sales methodology,  Command of the Message, qualification frameworks like MEDDPICC. Direct experience selling monitoring/data/visualization products. Direct experience in DevOps (IaC, CI/CD, GitHub Actions, etc) a plus Proven ability to own a book of business, direct your own and your team's work and initiatives to exceed your quarterly targets. Proven ability to work with sales leader counterparts Compensation & Rewards In the US, the OTE (On-Target Earnings) compensation range for this role is $234,000 - $278,000. 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: San Francisco; Remote (United States); London; Belgrade; New York City ABOUT THE ROLE Perplexity is building cybersecurity products where agents do the security work, not just assist with it. Our security team already runs agents on our own environment every day, across finding vulnerabilities, testing our defenses, securing our cloud, and responding to threats. Now we're turning that work into products for customers, and we expect those products to span application security, offensive testing, cloud security, detection and response, and areas we haven't picked yet. We're looking for a hands-on Software Engineer to build these products end to end, from the security logic and agent workflows to the integrations and product surfaces customers use. You'll ship to design partners and enterprise customers quickly, and you'll work directly with the security engineers who do this work internally, so what we build is grounded in real codebases, real environments, and real attackers. RESPONSIBILITIES - Build security products from zero to one across domains such as application security, penetration testing and offensive security, cloud security, and detection and response. - Build agents that do real security work: review code and find vulnerabilities, test applications and infrastructure like an attacker, assess cloud configurations, and investigate threats, then validate findings and recommend or apply fixes. - Build the systems underneath: multi-tenant services, data pipelines, and secure execution environments that run against customer code, cloud accounts, and telemetry. - Build integrations with the tools customers already use: source control and CI/CD, cloud providers, identity providers, security tools, ticketing, and chat. - Ship the product surfaces customers use: APIs, dashboards, onboarding, and workflows that fit how security and engineering teams actually work. - Hold the product to the same standard we hold ourselves: strong tenant isolation, least privilege, safe handling of customer secrets and data, and tight controls on any agent that acts in a customer environment. - Define how we measure quality (finding accuracy, false positive rate, exploitability, time to fix, cost) and use it to drive improvements. - Work directly with design partners and customers, and help decide which security problems we should build products for next. QUALIFICATIONS - 4+ years of experience as a software engineer building production systems, with meaningful time spent on security products, security data platforms, or security engineering with heavy software development. - Proficiency in at least one major programming language (such as Python, Go, TypeScript, or Rust) and experience owning production services end to end. - Hands-on depth in at least one security domain, such as application security, penetration testing or offensive security, cloud security, or detection and response, and curiosity to work across the others. - Experience integrating with security- or developer-relevant systems such as source control, CI/CD, cloud provider APIs, identity providers, scanners, or SIEMs. - Familiarity with cloud infrastructure (AWS preferred) and building secure, multi-tenant SaaS. - Comfortable working directly with customers and shipping pragmatic improvements quickly in an ambiguous, early-stage product area. - Bonus: experience building LLM-powered agents, evaluation frameworks, or tool-using automation for security or other high-stakes domains. - Bonus: experience at a security product company (AppSec, pentesting, cloud security, detection and response) or on an internal security platform at scale.

Location: San Francisco; Remote (United States); London; Belgrade; New York City ABOUT THE ROLE Perplexity is building cybersecurity products where agents do the security work, not just assist with it. Our security team already runs agents on our own environment every day, across finding vulnerabilities, testing our defenses, securing our cloud, and responding to threats. Now we're turning that work into products for customers, and we expect those products to span application security, offensive testing, cloud security, detection and response, and areas we haven't picked yet. We're looking for a hands-on Software Engineer to build these products end to end, from the security logic and agent workflows to the integrations and product surfaces customers use. You'll ship to design partners and enterprise customers quickly, and you'll work directly with the security engineers who do this work internally, so what we build is grounded in real codebases, real environments, and real attackers. RESPONSIBILITIES - Build security products from zero to one across domains such as application security, penetration testing and offensive security, cloud security, and detection and response. - Build agents that do real security work: review code and find vulnerabilities, test applications and infrastructure like an attacker, assess cloud configurations, and investigate threats, then validate findings and recommend or apply fixes. - Build the systems underneath: multi-tenant services, data pipelines, and secure execution environments that run against customer code, cloud accounts, and telemetry. - Build integrations with the tools customers already use: source control and CI/CD, cloud providers, identity providers, security tools, ticketing, and chat. - Ship the product surfaces customers use: APIs, dashboards, onboarding, and workflows that fit how security and engineering teams actually work. - Hold the product to the same standard we hold ourselves: strong tenant isolation, least privilege, safe handling of customer secrets and data, and tight controls on any agent that acts in a customer environment. - Define how we measure quality (finding accuracy, false positive rate, exploitability, time to fix, cost) and use it to drive improvements. - Work directly with design partners and customers, and help decide which security problems we should build products for next. QUALIFICATIONS - 4+ years of experience as a software engineer building production systems, with meaningful time spent on security products, security data platforms, or security engineering with heavy software development. - Proficiency in at least one major programming language (such as Python, Go, TypeScript, or Rust) and experience owning production services end to end. - Hands-on depth in at least one security domain, such as application security, penetration testing or offensive security, cloud security, or detection and response, and curiosity to work across the others. - Experience integrating with security- or developer-relevant systems such as source control, CI/CD, cloud provider APIs, identity providers, scanners, or SIEMs. - Familiarity with cloud infrastructure (AWS preferred) and building secure, multi-tenant SaaS. - Comfortable working directly with customers and shipping pragmatic improvements quickly in an ambiguous, early-stage product area. - Bonus: experience building LLM-powered agents, evaluation frameworks, or tool-using automation for security or other high-stakes domains. - Bonus: experience at a security product company (AppSec, pentesting, cloud security, detection and response) or on an internal security platform at scale.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: London What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least three of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Senior Forward Deployed Engineer, you will own the delivery of scoped customer implementations and help turn real-world business needs into production-grade agentic automation solutions. You’ll partner closely with customer stakeholders and internal teams to design, build, integrate, and iterate on AI-enabled workflows, balancing speed, reliability, and maintainability. You’ll contribute practical field insights back to the organization, helping refine solution patterns, reusable assets, and implementation playbooks. Unlike traditional software engineers who build a single product for many customers, FDEs ship tailored solutions directly in customer environments, making the platform real for specific business processes and systems. You’ll operate with increasing independence, drive execution on well-defined workstreams, and collaborate with senior FDEs and product teams to align with broader technical direction.   WHAT YOU'LL DO AT UIPATH - Design and build AI-driven workflows, agents, and automations, aligned with UiPath's architecture and platform standards without requiring regular guidance. - Build AI Agents using UiPath technologies, including Maestro or Agent Builder - Apply practical prompt engineering skills to reliably guide agent behavior and understand model tradeoffs (capability, latency, cost) when selecting LLM providers for customer use cases. - Extend platform functionality using APIs, SDKs, and connectors to address unique customer requirements. - Debug across systems including AI inference, data pipelines, orchestration layers, and integration points, resolving most issues independently. - Contribute to internal libraries, reusable components, or frameworks that enhance consistency across customer deployments. - Anticipate delivery risks and communicate blockers, delays, and scope issues proactively to teammates and stakeholders. - Use telemetry, insights, and traces to identify optimization opportunities and failure patterns independently.   WHAT YOU'LL BRING TO THE TEAM - 5+ years of professional software engineering experience (or equivalent) delivering production software. - Strong programming skills in Python and/or TypeScript (or similar modern languages). - Experience building and shipping integrations using APIs and working with cloud services or enterprise systems. - Comfort operating in customer-facing environments with strong written and verbal communication. - Ability to independently drive scoped projects, manage risks, and deliver against deadlines. - Willingness to travel to customer sites as needed.   OUR CORE PRINCIPLES - Customer Centric: Stay close to customer users and stakeholders; anchor decisions in outcomes, adoption, and long-term success. - Breaking Silos: Collaborate across Engineering, Product, Customer Success, and customer teams to unblock delivery and align on the right solution. - Improving Agility: Prototype, test, ship, observe, and iterate—treat deployments and feedback loops as the fastest way to learn. - Dealing with Ambiguity: Make progress with incomplete information; clarify requirements through discovery, iteration, and pragmatic tradeoffs. - Building Focus: Prioritize the highest-impact workstreams, manage scope actively, and deliver durable solutions that customers can run and evolve. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/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. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. 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 paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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: 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. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. 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 paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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: 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. This is a full-time remote opportunity. We are considering candidates from US and Canada only (EST time zone). The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In US, the base compensation range for this role is USD $167,000 - $209,000. 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: 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. The Opportunity Grafana Labs is looking for a Major Account Executive based in Sweden who will be responsible for managing some of our largest enterprise accounts in the Nordics region . You will identify, nurture and close opportunities within your assigned install base, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. What You’ll Be Doing Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 6+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Fluent in English & Swedish or Danish or Norwegian or Finnish. Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Reward In Sweden, the OTE compensation range for this role is SEK 2,985,000 - SEK 3,090,000. 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 .

Responsibilities: — Build observability systems and telemetry pipelines to monitor and improve the efficiency, reliability, and workload goodput of accelerator fleets used for machine learning training and inference. Requirements: — Experience with infrastructure and programming related to Kubernetes, TPU, GPU, cloud platforms (GCP), observability, telemetry, and reliability. Benefits: — Hybrid work format in London. The role focuses on improving accelerator fleet performance for ML workloads through advanced telemetry and observability engineering.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Java Engineer Principal Colombia Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization Develop and maintain advanced SQL queries and data workflows to support business and platform requirements Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable Develop and maintain robust APIs for internal and external consumers Work with AWS cloud services to design and support reliable, scalable backend systems Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity Implement and maintain automated testing strategies (unit and integration) Contribute to and maintain GitHub Actions pipelines Ensure system reliability through monitoring, logging, and observability best practices Collaborate effectively in a distributed team, communicating progress, risks, and dependencies Take ownership of features end-to-end, from design through deployment and production support What you need for this Mandatory 9+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, and Docker 5+ years of hands-on experience with AWS core services and cloud-native application development. 4+ years of experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging platforms. Strong experience with microservices, MVC, and event-driven architectures Strong experience with JPA / Hibernate Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning Solid test automation experience using JUnit and Cucumber Hands-on experience with GitHub Actions and/or similar CI/CD tools Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English Ability to provide full overlap with US Central Time (CT) on business days On-call support: Willingness to provide off-hours or weekend production support when required Nice to Have Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets. Experience processing, enriching, or analyzing event and telemetry data at scale. Experience with AWS CloudFormation. Experience with jOOQ and Flyway. Experience with BigQuery or Databricks. Experience with Spring Cloud. Experience working with geospatial data (PostGIS). Experience supporting large-scale data platforms, reporting systems, or business analytics products. Experience working with distributed data processing or data pipeline technologies. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS ETL Java RESTful SpringBoot

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps over 4 million developers understand and resolve issues in their applications. Behind every error, performance trace, replay, and log is a large-scale data platform responsible for storing, querying, and analyzing massive volumes of telemetry data. We're looking for an Engineering Manager to lead our Events Analytics Platform (EAP) team, which builds and operates the distributed data systems powering Sentry's products. The team manages petabytes of data and develops high-performance analytical infrastructure using technologies like ClickHouse, enabling fast, complex queries across billions of records. As Sentry grows, so do the technical challenges. The team is evolving its storage and query infrastructure to support increasing data volumes, more complex analytical workloads, and unified access to different types of telemetry data. EAP also provides the data foundation for Seer, Sentry's AI-powered debugging agent, enabling AI systems to access the production context needed to investigate and resolve issues. In this role, you'll lead a team of engineers tackling complex distributed systems challenges while balancing architectural improvements with the reliability and performance of production systems. You'll bring strong technical judgment, guide engineering decisions, and work closely with product engineering teams to build capabilities that directly impact the developer experience. This is an opportunity to lead a critical part of Sentry's infrastructure, solve challenging problems at scale, and shape how developers and AI-powered tools interact with application data. WHAT YOU'LL DO - Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth. - Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability. - Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabytes of event data. - Guide the evolution of EAP's architecture, including query optimization, storage and compute separation, and the unification of different event types into a common analytical platform. - Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents, and address scaling challenges. - Partner with product engineering teams to understand their technical requirements, make informed tradeoffs, and deliver platform capabilities that support new product experiences. - Support Sentry's AI-powered capabilities by ensuring the platform efficiently serves the analytical workloads and production context required by Seer and other AI-driven experiences. - Set clear priorities and drive projects from design through production, helping the team execute effectively while managing competing technical and product needs. YOU'LL LOVE THIS JOB IF YOU - Enjoy leading engineers while staying closely involved in technical discussions, architecture, and complex problem-solving. - Get excited about building and operating large-scale distributed systems where performance, reliability, and efficiency matter. - Have a strong interest in analytical databases, storage engines, query systems, and the engineering challenges behind processing massive volumes of data. - Like working through difficult technical tradeoffs and turning ambiguous requirements into practical engineering solutions. - Take pride in building reliable production systems, understanding how they behave under load, and continuously improving their performance. - Enjoy collaborating with product engineering teams and understanding how infrastructure decisions influence the end-user experience. - Want to lead a team whose work directly supports Sentry's core products and growing AI-powered capabilities. QUALIFICATIONS - Significant professional software engineering experience, including experience managing and developing engineers, leading technical projects, and driving engineering execution. - Strong technical background in distributed systems, data infrastructure, analytical databases, or large-scale backend systems. - Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following: - Analytical database infrastructure: Operating, scaling, optimizing, or maintaining OLAP systems such as ClickHouse, Apache Pinot, Apache Druid, or similar technologies in production. - Complex distributed data platforms: Designing and building sophisticated systems using analytical databases or distributed storage technologies as foundational components, with meaningful ownership of the underlying architecture, performance, and reliability. - Experience making architectural decisions and technical tradeoffs involving system scalability, performance, reliability, or operational complexity. - Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements. - Experience leading engineering projects from technical design through implementation, deployment, and ongoing operations. - Strong communication and collaboration skills, including the ability to work with cross-functional stakeholders and translate technical requirements into actionable engineering priorities. Bonus points for: - Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases. - Experience with query optimization, analytical storage architecture, or high-throughput data processing. - Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications. - Experience working closely with product engineering teams to develop infrastructure supporting customer-facing features. - Proficiency with Python, Rust, or similar backend programming languages. Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore About the Department Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team analyzes these unique data points at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. About INTERDICT I.N.T.E.R.D.I.C.T. (Identify, Neutralize, Triage, Engage, Respond, Disrupt, Integrate, Contain, Threat Hunting) is Cloudforce One's unified operational security organization responsible for identifying, analyzing, and responding to threats targeting Cloudflare and its customers. INTERDICT encompasses three main sub-functions: Cloudflare Managed Defense (CMD): Network and application security monitoring for 'Under Attack' mitigation support. PhishGuard: Managed email threat detection and response service. Detection Engineering: ML model development and detection optimization. Together, INTERDICT provides comprehensive 24×7×365 protection across email, application, and network threat surfaces. Role Summary As a Senior Response Engineer within the Cloudflare Managed Defense Center (CMDC), you will serve as a subject-matter expert and technical escalation point for threat mitigation across Cloudflare’s strategic enterprise customer base. In this role, you will lead the response to sophisticated, multi-vector cyberattacks spanning OSI Layers 3, 4, and 7, operating beyond standard playbooks to diagnose anomalies, engineer custom mitigations, and stabilize mission-critical infrastructure under fire. Beyond active incident command, you will act as a force multiplier: architecting customer-specific defense strategies, authoring and refining automated detection logic, mentoring Tier 1 and Tier 2 engineers, and collaborating directly with Cloudflare Product and Engineering teams. We are looking for an experienced, high-ownership technical leader who excels during high-stakes incidents and is passionate about mentoring others while advancing threat mitigation at scale. CMDC operates 24×7×365. This role participates in a regional shift rotation and on-call escalation rota including periodic weekend and public-holiday coverage as part of a follow-the-sun model across AMER, EMEA, and APAC. Role Responsibilities Act as the technical lead and incident commander during high-impact, multi-vector security events, designing and deploying bespoke mitigation strategies when standard runbooks do not suffice. Perform deep-dive forensic analysis into complex Layer 3/4 and Layer 7 traffic anomalies, identifying zero-day attack patterns, sophisticated bot networks, and novel evasion techniques. Apply advanced mitigation strategies and filter malicious traffic using Cloudflare’s core security suite, including Magic Transit, Web Application Firewall (WAF), and Advanced Rate Limiting. Lead technical communications and incident bridge calls with enterprise C-level executives, principal network engineers, and security teams during critical events, clearly articulating root causes, impact assessments, and remediation paths. Monitor and investigate proactive security alerts across internal telemetry systems to rapidly triage incoming events, assess blast radius, and validate threat severity. Adhere to and champion strict customer SLAs for alert response times, event analysis, and clear executive reporting. Mentor and elevate Tier 1 and Tier 2 engineers through structured shadowing, technical post-mortems, and internal training. Partner with internal Engineering and Product teams to translate operational attack trends into prioritized platform enhancements, tool feedback, and automated detection logic. Role Requirements (Must-Have Skills) A minimum of 6–8 years of hands-on experience in a high-volume Security Operations Center (SOC), Managed Detection and Response (MDR), network engineering, or incident response environment dealing directly with live threat mitigation. Comprehensive knowledge of networking principles and internet infrastructure, including TCP/IP, UDP, ICMP, DNS, BGP routing mechanics, and edge network design. Deep expertise in Layer 7 protocols and web architectures (HTTP/1.1, HTTP/2, HTTP/3, TLS handshakes/ciphers, reverse proxy models, and API security). Experience analyzing network traffic data for anomaly detection and designing, tuning, and executing advanced mitigation strategies against L3/L4 and L7 attacks, including bespoke countermeasures when standard playbooks are insufficient. Advanced proficiency in packet capture and network traffic analysis using tools such as tcpdump, Wireshark, or tshark to isolate anomalies and dissect malformed or novel payloads. Practical experience analyzing and mitigating security incidents using AI and machine learning tools, paired with the hands-on capability to build and integrate custom tooling that improves operational workflows, accelerates log telemetry analysis, and defends against AI-driven botnets and adversarial edge attacks. Proficiency in using the command line (Bash shell) alongside general system administration literacy across Linux, Mac, or Windows environments. Proven experience commanding incident bridges, making decisive risk-tradeoff decisions, and maintaining composure while managing enterprise stakeholders during high-pressure crises. Nice-to-Have Skills Direct experience querying large-scale distributed logging and analytics systems using SQL, GraphQL, ClickHouse, or SIEM platforms (Splunk, Elastic, Sumo Logic). Hands-on experience defending against advanced persistent threats (APTs), credential stuffing, scraping botnets, or application-layer bypass attacks against major CDNs/WAFs. Relevant industry certifications, such as CISSP, CCNP/CCIE, or advanced GIAC credentials (e.g., GCIA, GCIH, GNFA). What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Spain; Bulgaria; Romania; Poland; Slovakia; Czechia Staff DevOps Engineer Who we are Action1 is a cloud-native autonomous endpoint management platform that helps organizations automate operating system and third-party patching, assess vulnerabilities, and secure endpoints at scale. Trusted by thousands of organizations managing millions of endpoints globally, we are building the infrastructure that supports our continued growth. The Role Working hours Working hours close to the CET time zone are preferred to support regular collaboration with your manager and coordination of the team’s workload. Flexibility to adjust working hours for team coordination, planned production changes, and critical incidents. This includes working US time-zone hours for a couple of days when needed to attend team meetings, participate in cross-training, or support handovers. Job Scope We are looking for a Senior / Staff DevOps Engineer to build and operate Action1’s AWS infrastructure, improve deployment automation, and strengthen production reliability and security. This is a hands-on individual contributor role. You will identify problems, make technical decisions, and carry improvements through implementation and validation, with support and input from your manager and peers. You will join a small, collaborative DevOps team where your ideas help shape how we work. There is room to try new approaches, learn from experienced colleagues, and see your work make a difference in production. You will work closely with R&D and QA on releases and production needs. What you’ll do Build and evolve our AWS infrastructure. Design and operate secure, resilient infrastructure across multiple accounts and regions. Evaluate architecture decisions against production requirements, operational complexity, performance, and cost. Build infrastructure as code. Develop reusable components, reduce configuration drift, and make environments reproducible. Maintain infrastructure and automation in Git with peer review, testing, documentation, and clear ownership. Improve deployment pipelines. Build and maintain CI/CD pipelines, automated checks, deployment controls, and rollback mechanisms to make releases safer and more predictable. Develop reliable automation. Use programming, scripting, and APIs to simplify operations, eliminate repetitive work, and build tooling the team can maintain and support. Apply AI in daily DevOps work. Use approved tools such as Codex or Claude for infrastructure code, scripting, testing, troubleshooting, operational analysis, and documentation. Build reusable workflows, independently review and test outputs, protect sensitive information, and follow established review and change controls. Strengthen observability. Improve metrics, logs, traces, dashboards, and actionable alerts. Investigate performance and capacity constraints, connect telemetry to application behavior, and reduce unnecessary alert noise. Own production reliability. Participate in the on-call rotation and lead incident response when needed. Coordinate recovery, communicate clearly, investigate underlying causes, and verify that corrective changes address the problem. Validate resilience and recovery. Develop and test backup, recovery, failover, and maintenance procedures. Use controlled failure exercises where appropriate to identify weaknesses before they affect customers. Continuously assess AWS platform security. Review access, network exposure, logging, vulnerabilities, and misconfigurations across accounts and environments. Investigate security findings and suspicious activity, prioritize work by risk, and drive remediation through implementation and verification, coordinating with Security and the owners of affected systems. Improve AWS security controls. Evaluate and introduce practical improvements to threat detection, automated security checks, and response workflows. Strengthen least-privilege access, network controls, secrets management, encryption, hardening, and auditability. Integrate technical controls into infrastructure and delivery pipelines to meet security and compliance requirements. Improve cloud efficiency. Understand cost drivers, identify waste, and evaluate capacity and architecture improvements using measured workload behavior. Verify savings alongside performance and reliability. Share operational knowledge. Review infrastructure designs and automation code, document decisions, and maintain useful runbooks and technical documentation. What we’re looking for Substantial hands-on experience in DevOps, SRE, or cloud infrastructure engineering for production SaaS environments. A record of independently identifying and solving problems, prioritizing work, and coordinating dependencies while keeping others informed. Deep AWS knowledge and experience designing, operating, and troubleshooting distributed systems across multiple environments. Strong AWS security operations experience, including assessments, incident investigations, and vulnerability and misconfiguration remediation. Hands-on observability experience using metrics, logs, and traces to investigate production issues and build actionable dashboards and alerts. Strong programming or scripting skills in Python, Node.js, or a comparable language for maintainable automation and API integrations. Strong hands-on experience with both Terraform and AWS CloudFormation, supported by Git, code review, testing, and CI/CD practices. Sound understanding of operating systems, networking, DNS, TLS, identity, storage, and database behavior, with the ability to troubleshoot across system boundaries. Experience with production incident response, root-cause analysis, and recovery planning. Practical experience using AI tools in DevOps, including examples of their benefits, limitations, and how you validated and corrected their output. Analytical thinking and sound judgment: test assumptions, distinguish symptoms from causes, weigh trade-offs, verify results, and recognize when broader review is needed. Flexibility to collaborate across time zones and adjust working hours for team coordination, planned production changes, and critical incidents. Nice to have Hands-on Datadog experience for production troubleshooting and reliability improvement. Experience with Terramate for managing Terraform infrastructure across environments. Experience building operational tools or self-service workflows for provisioning, deployments, and environment management. Practical SRE experience, including service-level objectives, capacity planning, and reliability reviews. Experience supporting SOC 2, ISO 27001, or comparable requirements through technical controls and operational evidence. Experience developing AI agents with appropriate access boundaries, evaluation, and human oversight. Experience mentoring DevOps engineers and leading infrastructure or operational improvements. What we offer Fully remote work, with flexibility around team collaboration and production responsibilities. Ownership of infrastructure supporting a growing global platform. Challenging DevOps work and opportunities to deepen your technical expertise. Direct collaboration with experienced, supportive peers.

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. This is a full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: We are building Mobile Session Replay: a way for teams to see what users actually experienced in their iOS, Android, Flutter and React Native apps, inside Grafana Cloud. Session Replay connects frontend signals to session-level evidence, so engineers can investigate production issues faster and with more confidence. Web replay is already available publicly. Mobile replay extends the same story to native apps as part of our Digital Experience Monitoring (DEM) strategy. We are starting with Android. A working prototype already exists, and you will help turn it into a product customers can trust. The plan is to push ahead from there: iOS next, then our Flutter, React Native and OpenTelemetry mobile SDKs, so customers get a consistent replay experience across platforms. 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. We are looking for Staff Mobile Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! What you'll be doing As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will: Own the on-device replay library end to end, starting with Android and extending to iOS. Make privacy a default, designing masking and consent controls so sensitive data never leaves the device. Keep the overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use and disk, and profiling the impact of capture and masking while the app is actively being used. Give customers controls to trade fidelity against cost. Build the integration layer so customers do not copy demo glue code: adapters that tie replay to the active RUM session, sampling decisions and screen or navigation changes. Work across the stack with Frontend and Mobile Observability teams on the capture, upload and storage pipeline, session inactivity handling, the timeline player and the mobile sessions and replay experience in Frontend Observability. Evaluate the format and API tradeoffs rather than assuming the current prototype approach is final. Define quality and compatibility: automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths for an SDK that customers cannot easily update. Engage directly with customers: join calls, gather structured feedback, and help teams instrument and adopt Mobile Session Replay Mentor engineers and help grow technical leadership in the team 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. Technologies you'll work with Kotlin (primary, Android-first) and Swift (iOS) Android media and graphics APIs (MediaCodec / H.264 encoding, view and window capture, Jetpack Compose and View-based UIs) Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI), as you partner across the stack OLAP Database / Object storage (S3) Kafka/Warpstream Grafana ecosystem (Mimir, Loki, Tempo, etc.) What makes you a great fit You are comfortable working in a remote-first, globally distributed company. Communication is key, and you write and speak clearly in English You are collaborative, friendly, kind and respectful. We operate by consensus: you can contribute, disagree constructively, and commit to the team's decision You have deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C). We are building Android first, so Android depth is a priority for the first hire. We are hiring across both platforms, and we do not expect you to be an expert in both, but you are willing to learn and contribute across platforms over time. You have built or maintained mobile SDKs or platform libraries used by external developers, and you care about developer experience, API design and safe upgrade paths You have worked on performance-sensitive code (startup time, memory, battery, network efficiency, background execution limits) and make pragmatic tradeoffs You are comfortable with media and rendering pipelines on mobile: capturing screen content, working with frames or bitmaps, and encoding or handling video You are comfortable owning a product from 0 to 1 in ambiguous problem spaces. You can break large problems into increments and work autonomously You take a user-centered approach, and you build understanding of customers' context and goals so you build the right thing You are thoughtful about privacy and security on user devices, including handling of sensitive data You use AI tools as a natural part of your engineering workflow, for exploration, code review or reasoning through design tradeoffs, and you are thoughtful about where they help and where they don't Bonus points for Prior work on mobile session replay, screen recording, or sampling for mobile telemetry Experience with video encoding (H.264, MediaCodec, AVFoundation) or on-device masking and redaction Familiarity with rrweb or web session replay concepts Experience with OpenTelemetry, crash reporting libraries or other observability open source Experience with cross-platform frameworks (React Native, Flutter) or building native bindings and bridges Experience with observability or debugging tools (Grafana, Datadog, New Relic, Sentry, etc.) Familiarity with mobile privacy, consent and platform policy requirements Experience with Go or TypeScript, since the work crosses into our ingest and player In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is $192,891 - $231,469 CAD. 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: 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. This is a full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: We are building Mobile Session Replay: a way for teams to see what users actually experienced in their iOS, Android, Flutter and React Native apps, inside Grafana Cloud. Session Replay connects frontend signals to session-level evidence, so engineers can investigate production issues faster and with more confidence. Web replay is already available publicly. Mobile replay extends the same story to native apps as part of our Digital Experience Monitoring (DEM) strategy. We are starting with Android. A working prototype already exists, and you will help turn it into a product customers can trust. The plan is to push ahead from there: iOS next, then our Flutter, React Native and OpenTelemetry mobile SDKs, so customers get a consistent replay experience across platforms. 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. We are looking for Staff Mobile Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! What you'll be doing As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will: Own the on-device replay library end to end, starting with Android and extending to iOS. Make privacy a default, designing masking and consent controls so sensitive data never leaves the device. Keep the overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use and disk, and profiling the impact of capture and masking while the app is actively being used. Give customers controls to trade fidelity against cost. Build the integration layer so customers do not copy demo glue code: adapters that tie replay to the active RUM session, sampling decisions and screen or navigation changes. Work across the stack with Frontend and Mobile Observability teams on the capture, upload and storage pipeline, session inactivity handling, the timeline player and the mobile sessions and replay experience in Frontend Observability. Evaluate the format and API tradeoffs rather than assuming the current prototype approach is final. Define quality and compatibility: automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths for an SDK that customers cannot easily update. Engage directly with customers: join calls, gather structured feedback, and help teams instrument and adopt Mobile Session Replay Mentor engineers and help grow technical leadership in the team 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. Technologies you'll work with Kotlin (primary, Android-first) and Swift (iOS) Android media and graphics APIs (MediaCodec / H.264 encoding, view and window capture, Jetpack Compose and View-based UIs) Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI), as you partner across the stack OLAP Database / Object storage (S3) Kafka/Warpstream Grafana ecosystem (Mimir, Loki, Tempo, etc.) What makes you a great fit You are comfortable working in a remote-first, globally distributed company. Communication is key, and you write and speak clearly in English You are collaborative, friendly, kind and respectful. We operate by consensus: you can contribute, disagree constructively, and commit to the team's decision You have deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C). We are building Android first, so Android depth is a priority for the first hire. We are hiring across both platforms, and we do not expect you to be an expert in both, but you are willing to learn and contribute across platforms over time. You have built or maintained mobile SDKs or platform libraries used by external developers, and you care about developer experience, API design and safe upgrade paths You have worked on performance-sensitive code (startup time, memory, battery, network efficiency, background execution limits) and make pragmatic tradeoffs You are comfortable with media and rendering pipelines on mobile: capturing screen content, working with frames or bitmaps, and encoding or handling video You are comfortable owning a product from 0 to 1 in ambiguous problem spaces. You can break large problems into increments and work autonomously You take a user-centered approach, and you build understanding of customers' context and goals so you build the right thing You are thoughtful about privacy and security on user devices, including handling of sensitive data You use AI tools as a natural part of your engineering workflow, for exploration, code review or reasoning through design tradeoffs, and you are thoughtful about where they help and where they don't Bonus points for Prior work on mobile session replay, screen recording, or sampling for mobile telemetry Experience with video encoding (H.264, MediaCodec, AVFoundation) or on-device masking and redaction Familiarity with rrweb or web session replay concepts Experience with OpenTelemetry, crash reporting libraries or other observability open source Experience with cross-platform frameworks (React Native, Flutter) or building native bindings and bridges Experience with observability or debugging tools (Grafana, Datadog, New Relic, Sentry, etc.) Familiarity with mobile privacy, consent and platform policy requirements Experience with Go or TypeScript, since the work crosses into our ingest and player In US, the OTE (On-Target Earnings)/Base compensation range for this role is $189,374 - $227,249 USD. 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: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. Powered by advanced AI, first-party data, and world-class engineering, we connect app developers to over 600 million users worldwide. From our global leadership in rewarded advertising with Playtime to breaking ground in programmatic adtech with adjoe Ads, we build high-performance mobile infrastructure that redefines how users discover and engage with apps. Where Milliseconds Power Global Programmatic Scale The Programmatic Solutions team powers adjoe’s real-time ad network solution, directly integrated with leading mobile mediation platforms across the ecosystem. At our core is a smart bidder leveraging machine learning to predict conversion probability and lifetime value in real time, serving the right ad at the exact right moment. The team owns the complete lifecycle of our programmatic ad engine on mobile: from our native iOS and Android SDKs that seamlessly render ad creatives and stream granular telemetry events back to our servers, to the developer-facing APIs and dashboards that give publishers total visibility into monetization performance. Because our code executes live inside third-party apps alongside major mediation stacks, every millisecond saved directly impacts revenue, fill rate, and user experience. Your Mission & Who We Are Looking For: - Swift expert with deep SDK experience: You bring 8+ years of mobile development experience with a strong focus on modern Swift. A huge plus: proven experience architecting, building, and maintaining production iOS libraries/SDKs. You know how to design clean, backward-compatible public APIs and package robust binaries (XCFrameworks) that thousands of external publishers can integrate with zero friction. - High-performance rendering & creative UI/UX: You will build and optimize the visual components of adjoe Ads—innovative ad formats, dynamic video players, and rich web views seen by millions of users daily. Leveraging UIKit, AVFoundation, and WKWebView, you know how to build fluid, native-feeling experiences, introduce A/B testable UI features, and diagnose frame drops or memory leaks using Xcode Instruments. - Mediation integration & AdTech standards: You will ensure our SDK seamlessly interfaces with leading mobile mediation platforms and ad servers. You take ownership of aligning our mobile stack with IAB specifications and advertising industry standards, ensuring reliable impression tracking, viewability measurement, and attribution. - Build automation & developer-facing distribution: You contribute to and maintain our CI/CD pipelines to guarantee flawless, automated releases. You have hands-on experience with modern dependency managers and build automation tools (Swift Package Manager, CocoaPods, fastlane, and GitLab CI) to package, test, and distribute lightweight mobile artifacts. - Observability & technical stability: You don't just write code; you safeguard its execution in the wild. You will expand our monitoring and crash-reporting frameworks to proactively catch anomalies, optimize memory and CPU footprint, and ensure zero instability across diverse iOS versions and device generations. - Plus – Cross-platform & multi-stack exposure: Basic working knowledge of Objective-C is a strong advantage. Experience with cross-platform frameworks (React Native, Flutter, Unity) or parallel Android development experience is highly valued to support our broader mobile ecosystem. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets; you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 600M+ users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries who learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Canada Workplace: Remote ABOUT THE TEAM The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA.   THE ROLE We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client.   WHAT YOU'LL DO - Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap. - Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them. - Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it. - Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features. - Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly. - Bring written proposals about where we invest next. You set direction rather than wait for it. - Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt. - Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try. - Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks. ABOUT YOU - Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build. - 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics. - Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks. - Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET. - You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly. - Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet. - Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency. - Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it. - Thoughtful use of AI development tools, with the judgment to review what comes out. - Clear writing. Most coordination happens in design docs, PRs and RFCs. NICE TO HAVE - ClickHouse, especially its type system, or another OLAP engine. - C++ and ODBC driver internals. - Building or maintaining an ADO.NET http://ADO.NET or EF Core provider. - Open-source contributions to .NET or data infrastructure. - Experience designing SDKs, docs or error messages with AI coding agents as the consumer. - Protocol or wire-format work on a database driver or network client. LEARN MORE - Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026) - What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026) - Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026) - Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026) - The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp - ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026) PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.