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Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Role As a Senior Enterprise Security Engineer, you will lead the design and operation of security controls that protect our internal networks, workforce identities, endpoints and corporate systems. You will be working globally with security teams across US, EU and APAC, delivering against our goals and objectives - reducing risk and maturing controls. As a Senior, you will operate with a high degree of autonomy. You will define technical direction, make architectural decisions, and deliver complex security initiatives end-to-end. You will be expected to balance risk reduction with usability, ensuring controls are robust without impeding employee productivity. This role focuses on Identity and Access Management (IAM), Endpoint security (EDR), Network Security, logging and detection engineering, and secure SaaS enablement. You will work closely with IT, Legal, Privacy, Engineering and business stakeholders to embed security as a default practice across the organisation. Security controls will be aligned to recognised frameworks such as the CIS Critical Security Controls and the NIST Cybersecurity Framework (CSF). Key Responsibilities Architecture & Control Implementation: Design, deploy, and maintain core corporate security controls, including phishing-resistant MFA, Just-In-Time (JIT) access, strict role-based access control (RBAC), zero-trust architectures, device and identity bound proofing and modern network isolation. Tooling Ownership: Serve as the technical owner for a broad suite of corporate security systems, managing deployments, configurations, and API integrations for tools across the corporate environment. Technical Leadership: Lead and implement the technical strategy for Endpoint Device trust, Data Loss Prevention, Intellectual property storage, and SaaS application security. Alongside wider corporate security technical controls. Automation & Engineering: Write scripts and build tools to automate security workflows, incident response tasks, and audit evidence collection for compliance. Cross-Functional Collaboration: Work with IT and business operations to integrate security tools into everyday workflows. Guide non-security teams to adopt secure baselines (e.g., CIS Benchmarks) as standard practice. Mentorship: Mentor junior and mid-level engineers, explain technical concepts clearly to non-technical staff, and help improve the team's engineering standards. Minimum Qualifications Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent practical experience. 5+ years’ experience in Security Engineering, Corporate Security, Detection & Response, or a related field. Hands-on experience administering IAM platforms (e.g. Okta, GoogleWorkspace). Deep hands-on experience with GoogleWorkspace products Practical hands-on experience with Cloud platforms (e.g AWS, GCP) Relevant and practical experience with Infrastructure-as-code (e.g Terraform) Experience implementing modern authentication standards (FIDO2, WebAuthn, SAML, OAuth 2.0, OpenID Connect). Practical experience securing macOS, Windows and Linux endpoints using MDM and EDR/XDR tooling. Experience operating SIEM and/or SOAR platforms and tuning detection logic. Experience with vulnerability management and patch governance. Ability to write production-quality automation scripts. Demonstrated experience leading cross-functional technical initiatives. Desirable Skills Experience with SASE or Zero Trust Network Access platforms. Hands on experience deploying applications into K8 and Docker environments Data Loss Prevention (DLP) and SaaS security governance. Advanced detection engineering or SOAR playbook development. Experience supporting ISO 27001 or SOC 2 audits. Relevant certifications (e.g. CISSP, CISM, GIAC). Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Who We Are Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer, Proactive Security to join our London (Hybrid) team. In this role, you will be a part of our inclusive, collaborative global team responsible for enabling proactive security outcomes with “security paved paths” to ensure a safe, reliable and resilient delivery network. Get to know our Proactive Security Engineering team — what drives us, how we work, and what you can expect. About the Team At Deliveroo we’re striving to build London’s best and most admired Security Engineering organisation as part of our global team based across North America and Europe. Our London based Security Engineering team is looking for a Software Engineer to lead the design, development and operation of security services within Deliveroo’s Product and Cloud Security domains. You will be a part of our inclusive, collaborative global team responsible for building “ security paved paths ” to ensure a safe, reliable and resilient delivery network. This is a London based position reporting directly to the European Senior Manager of our Security Engineering team based in London. What You’ll Need to Thrive Build and maintain core security products, including but not limited to Remote Access Management, Secrets Management, Tokenization, Encryption and Knowledge Graphs, Access Control at global scale. Partner cross-functionally with Core Infrastructure, Product Engineering, Legal, Security teams and Vendor Partners to build “paved paths” that provide actionable feedback to embed secure design practices into the product and infrastructure development process. Lead the technical direction and roadmap for your assigned area of ownership. Build and maintain high Operational Excellence (OE) to ensure we operate T0 services with excellence, rigor and durable standards to ensure minimal to no downtime. Participate in on-call rotation and promptly respond to on-call events with urgency and rigor. Manage the lifecycle of security product feature requests and improvements full life-cycle from triage, validation, design, testing, and implementation. Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity. Mentor and coach earlier career engineers, setting and enforcing high standards for Operational Excellence and Software Engineering. Requirements Able to demonstrate a track record of driving improvements to a company’s infrastructure security posture. Breadth of technical experience across various infrastructure and security areas running in large production environments. Highly skilled in distributed systems and platforms development using program languages such as Java/Scala/Kotlin, Golang, or Python. Strong experience with infrastructure as a code tooling like Terraform. Expertise with cloud infrastructure and management in AWS. Experience solving complex, systemic issues that require creative thinking and solutions. Exceptional analytical and investigative abilities with hands-on experience leading root cause analysis. Excellent verbal and written communication skills to review design documents with respect to cloud infrastructure, security and engineering personnel. Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities with minimal oversight. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, ship fast, leaning into AI, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders high standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create competitive salary and DoorDash RSUs, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine—our interview typically includes 5-6 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! #LI-SW1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 3+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. Production experience in Golang , with an interest in developing strong engineering practices. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Staff Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform. In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks. Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secure, consistent, and reliable at scale. Some examples of the projects you could work on: Designing infrastructure automation that provisions and operates GitLab environments using Terraform, Ansible, and Kubernetes Creating and maintaining deployment packages for GitLab, such as Helm Charts and omnibus-gitlab Building and operating Dedicated GitLab instances integrated with cloud-native services (e.g., GCP, AWS) Developing tools to orchestrate infrastructure-as-code workflows across multiple tenants Deploying and managing microservices on Kubernetes clusters at scale Enhancing GitLab’s observability stack (e.g., Prometheus, ELK) to support proactive monitoring and incident response Integrating with and operating infrastructure in cloud provider ecosystems (e.g., IAM, networking, storage) Championing and implementing cloud security best practices across automated infrastructure What You’ll Do Build & Scale Multi-Tenant Infrastructure: Design and implement automation that provisions and manages hundreds of isolated GitLab environments using Terraform, Ansible, and Kubernetes. Manage complex state strategies and workspace configurations to support scale and maintainability. Debug & Resolve Production Issues: Troubleshoot issues across Kubernetes clusters, cloud services, and GitLab apps—identifying root causes of failed deployments, crash loops, and scheduling conflicts to ensure service continuity. Automate Operations at Scale: Replace manual workflows with infrastructure-as-code solutions, including automated version upgrades, configuration rollouts, and provisioning pipelines that operate reliably across all tenants. Monitor & Predict Capacity: Build observability systems that detect bottlenecks, predict usage trends, and optimize resource consumption using tools like Prometheus, ELK, and Grafana. Respond & Lead During Incidents: Lead incident response and postmortem efforts, applying technical depth to resolve issues and establish operational standards that reduce future risk. Architect & Collaborate: Influence architectural decisions around automation, scalability, and operational excellence. Partner with engineering teams to improve automation, platform resilience, and production-readiness. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What You’ll Bring Production-Scale Experience: Proven ability to operate and troubleshoot production workloads across multiple tenants or environments. Deep understanding of how distributed systems fail at scale and how to build in resilience. Terraform & IaC Mastery: Strong hands-on experience with Terraform, including workspace strategies, state management, and automation patterns that scale. Comfortable solving state isolation issues and building reliable, reusable infrastructure code. Experience with Ansible and templating tools like Jsonnet is a plus. Kubernetes in Production: Skilled at diagnosing deployment failures, interpreting pod logs, and debugging scheduling issues and rollback scenarios in live environments. Understands how pods, ReplicaSets, and controllers interact in production. Programming & Code Analysis: Ability to read and debug code in Go and/or Ruby. Familiar with identifying performance issues, scalability concerns, and contributing to infrastructure tooling through thoughtful code analysis. Large Scale Operations Background: Experience supporting infrastructure for many customers or environments simultaneously. Comfortable managing isolation, scaling, monitoring, and incident response across diverse workloads. Architecture & Incident Response: Able to reason through complex systems and operational challenges. Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure. Customer-Focused Collaboration: Proven ability to work across teams and with internal or external customers to solve technical problems while maintaining service commitments and clear communication. GitLab Platform Proficiency: Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows. About the team GitLab’s Dedicated team, where the SRE Environment Automation role sits, is on a mission to deliver a fully managed, single-tenant GitLab experience through the GitLab Dedicated platform. Our goal is to eliminate manual operations across the entire lifecycle of customer environments, including provisioning, upgrades, security, and monitoring, so customers can focus on unlocking the full potential of The One DevOps Platform without managing the underlying infrastructure. We build scalable, automated systems that ensure each GitLab Dedicated instance is secure, consistent, and production-ready—whether we're managing 10 environments or hundreds. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Costa Rica Position Overview Join the team as an SD-WAN Engineer, a role that offers a unique opportunity to collaborate with a highly skilled and dedicated team. Your expertise in SD-WAN technologies with CCNP-level proficiency will be instrumental in the success of the Service Advantage Team (SAT) that manages and maintains the company’s Premier Managed Service customers. We are deeply committed to delivering exceptional customer engagements and are seeking individuals who share this commitment and are ready to contribute to our customers' success. Our SAT engineers play a crucial role in maintaining the overall technical and operational quality and resolutions of incidents and problems. We are deeply committed to technical validation and analysis, communication with customers and third parties, vendors and suppliers, and above all, ensuring the satisfaction of the company’s customer base. We are looking for individuals who share this commitment to technical validation and analysis and are ready to contribute to our team's success by upholding our high standards of technical and operational quality. Key Responsibilities Troubleshoot, configure, and maintain SD-WAN infrastructure and services. Monitor network performance, identify bottlenecks, and implement enhancements. Provide advanced troubleshooting and problem resolution for SD-WAN environments. Lead network projects, including firmware, patches, vulnerabilities, and documentation. Serve as the highest point of technical escalation for network issues, particularly those related to SD-WAN and network technologies. Perform root cause analysis for complex network problems and develop permanent solutions. Collaborate with Tier 1 and 2 technicians, providing mentorship and guidance. Provide essential support to voice and data customers, ensuring prompt and effective service delivery. Assist in diagnosing and resolving basic wireline and wireless service issues by collaborating with internal and external resources. Coordinate with vendors, stakeholders, and other teams to ensure successful outcomes. Document all support activities accurately within the ticketing system. Assisted in coordinating remote field engineer dispatches and provided support during on-site visits. Assist in managing tickets within support queues, adhering to established processes, SLAs/SLOs/KPIs. Support change requests and assist in troubleshooting customer configurations. Prioritize tasks effectively and demonstrate attention to detail in day-to-day responsibilities. Conduct regular security audits and participate in security incident response activities. Skills Required Excellent English Communication skills (Written and verbal). Extensive experience with SD-WAN technologies and solutions. Strong understanding of network infrastructure, including routers, switches, firewalls, and VPNs. Ability to work on rotating shifts and on-call rotations. Minimum of 5 years of experience in a network operations center or similar environment. Good understanding of IP and Optical networks, including IPv4, IPv6, BGP, ISIS, OSPF, MPLS, VLANS, Ethernet, DWDM, SDH, Dark Fiber, DNS, SNMP, and IPSec. Experience of shift work. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Experience with cloud services (AWS, Azure, GCP) and networking capabilities. Preferred Education, Skills, and Experience CCNP certification or equivalent level of knowledge and experience. Additional certifications, such as Palo Alto PCNSA/PCCSA, Juniper JNCNA, Fortinet FCA, or similar training and certification, are an advantage and highly desirable. Bachelor’s degree in computer science, Information Technology, or a related field or experience. Experience supporting carrier-level data services such as fiber optic and electrical circuits. Experience supporting carrier-level voice service such as trunking and hosted phone services. Experience supporting routers, switches, and phone platforms. Experience supporting Sonus Session Border Controller. Experience supporting Netsapiens Hosted Platform or similar platforms. Experience with call routing. Experience working with network flow and packet capture analysis tools such as Netscout, NetFlow, and Wireshark. Ability to effectively prioritize workload. Resourceful, innovative, and creative. Ability to work extra hours as needed. Work in a fast-paced and ever-changing environment.z The company offers: Fully remote position. Competitive salary with bonuses. Wide range of Hardware Options. Growing company. Collaborative and Dynamic Team. Legal disclaimer: Talentuch never requests or accepts any fees or payments from candidates during the recruitment process. All official communication is conducted only through verified LinkedIn accounts or company-designated channels. Any messages or requests outside these channels should be considered unauthentic and reported.

Location: Colombia Position Overview Join the team as an SD-WAN Engineer, a role that offers a unique opportunity to collaborate with a highly skilled and dedicated team. Your expertise in SD-WAN technologies with CCNP-level proficiency will be instrumental in the success of the Service Advantage Team (SAT) that manages and maintains the company’s Premier Managed Service customers. We are deeply committed to delivering exceptional customer engagements and are seeking individuals who share this commitment and are ready to contribute to our customers' success. Our SAT engineers play a crucial role in maintaining the overall technical and operational quality and resolutions of incidents and problems. We are deeply committed to technical validation and analysis, communication with customers and third parties, vendors and suppliers, and above all, ensuring the satisfaction of the company’s customer base. We are looking for individuals who share this commitment to technical validation and analysis and are ready to contribute to our team's success by upholding our high standards of technical and operational quality. Key Responsibilities Troubleshoot, configure, and maintain SD-WAN infrastructure and services. Monitor network performance, identify bottlenecks, and implement enhancements. Provide advanced troubleshooting and problem resolution for SD-WAN environments. Lead network projects, including firmware, patches, vulnerabilities, and documentation. Serve as the highest point of technical escalation for network issues, particularly those related to SD-WAN and network technologies. Perform root cause analysis for complex network problems and develop permanent solutions. Collaborate with Tier 1 and 2 technicians, providing mentorship and guidance. Provide essential support to voice and data customers, ensuring prompt and effective service delivery. Assist in diagnosing and resolving basic wireline and wireless service issues by collaborating with internal and external resources. Coordinate with vendors, stakeholders, and other teams to ensure successful outcomes. Document all support activities accurately within the ticketing system. Assisted in coordinating remote field engineer dispatches and provided support during on-site visits. Assist in managing tickets within support queues, adhering to established processes, SLAs/SLOs/KPIs. Support change requests and assist in troubleshooting customer configurations. Prioritize tasks effectively and demonstrate attention to detail in day-to-day responsibilities. Conduct regular security audits and participate in security incident response activities. Skills Required Excellent English Communication skills (Written and verbal). Extensive experience with SD-WAN technologies and solutions. Strong understanding of network infrastructure, including routers, switches, firewalls, and VPNs. Ability to work on rotating shifts and on-call rotations. Minimum of 5 years of experience in a network operations center or similar environment. Good understanding of IP and Optical networks, including IPv4, IPv6, BGP, ISIS, OSPF, MPLS, VLANS, Ethernet, DWDM, SDH, Dark Fiber, DNS, SNMP, and IPSec. Experience of shift work. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Experience with cloud services (AWS, Azure, GCP) and networking capabilities. Preferred Education, Skills, and Experience CCNP certification or equivalent level of knowledge and experience. Additional certifications, such as Palo Alto PCNSA/PCCSA, Juniper JNCNA, Fortinet FCA, or similar training and certification, are an advantage and highly desirable. Bachelor’s degree in computer science, Information Technology, or a related field or experience. Experience supporting carrier-level data services such as fiber optic and electrical circuits. Experience supporting carrier-level voice service such as trunking and hosted phone services. Experience supporting routers, switches, and phone platforms. Experience supporting Sonus Session Border Controller. Experience supporting Netsapiens Hosted Platform or similar platforms. Experience with call routing. Experience working with network flow and packet capture analysis tools such as Netscout, NetFlow, and Wireshark. Ability to effectively prioritize workload. Resourceful, innovative, and creative. Ability to work extra hours as needed. Work in a fast-paced and ever-changing environment.z The company offers: Fully remote position. Wide range of Hardware Options. Growing company. Collaborative and Dynamic Team. Legal disclaimer: Talentuch never requests or accepts any fees or payments from candidates during the recruitment process. All official communication is conducted only through verified LinkedIn accounts or company-designated channels. Any messages or requests outside these channels should be considered unauthentic and reported.

Location: Paris; San Francisco ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale. This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.     KEY RESPONSIBILITIES FIRST CUSTOMER’S POINT OF CONTACT - Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries. - Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution. - Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently. - Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.     TECHNICAL SUPPORT - Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for: - GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures). - Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations). - Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters). - Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems. - Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues. - Participate in on-call rotations to provide 24/7 support for critical compute systems - Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.     KUBERNETES & CONTAINERIZATION - Debug Kubernetes clusters with a focus on: - Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff). - Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses). - Resource management (e.g., Requests/Limits, QOS classes, node affinity). - Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors. - Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.     DOCUMENTATION & PROCESS IMPROVEMENT - Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting). - Contribute to post-mortems with actionable follow-ups to prevent recurring incidents. - Train internal teams on best practices for compute infrastructure and debugging. - Help define and refine support processes as a founding member of the new Compute Support team. What We’re Looking For REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization). - Deep Linux/Unix expertise: - Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling). - Performance tuning (e.g., sysctl, ulimit, filesystem optimizations). - Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH). - Storage management (e.g., LVM, RAID, NVMe, GPU-local storage). - Hands-on Kubernetes experience is mandatory: - Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl). - Networking and storage (e.g., CNI plugins, PersistentVolumes). - Resource management (e.g., Requests/Limits, QOS classes). - Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). - Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks). - Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus. - Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders. - Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability. - Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach. - Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Задачи: — Администрирование, конфигурация, оптимизация и поддержка платформы Databricks. — Управление рабочими пространствами Databricks в средах разработки, тестирования и продакшена. — Конфигурация и управление кластерами, пулами, заданиями и рабочими процессами для поддержки ETL, потоковых и ML задач. — Мониторинг состояния платформы, емкости и производительности, проактивное выявление и устранение проблем. — Управление версиями Databricks runtime, библиотеками и интеграциями с облачным хранилищем и сервисами данных. — Реализация и поддержка процедур резервного копирования, восстановления и обеспечения непрерывности бизнеса. — Настройка и поддержка управления идентификацией и доступом (IAM) в Databricks. — Внедрение и соблюдение лучших практик безопасности, включая шифрование, сетевой контроль и политики доступа к данным. — Сотрудничество с командами безопасности и соответствия для соблюдения организационных и нормативных требований. — Поддержка стандартов управления данными (например, Unity Catalog). — Оптимизация конфигураций кластеров, автоскейлинга и планирования заданий для баланса производительности и затрат. — Анализ метрик использования и затрат, внедрение стратегий контроля затрат. — Рекомендации и реализация стратегий настройки и оптимизации платформы для больших данных. — Взаимодействие с инженерами данных, аналитиками и дата-сайентистами для понимания требований и рекомендаций по использованию Databricks. — Предоставление поддержки уровня Tier 2/3 по инцидентам и запросам, связанным с Databricks. — Разработка и поддержка документации, инструкций и стандартных операционных процедур. — Проведение обучения пользователей и обмен знаниями по возможностям и лучшим практикам Databricks. — Автоматизация развертывания рабочих пространств и кластеров, конфигураций и политик с использованием Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation). — Интеграция Databricks с CI/CD пайплайнами для развертывания кода и управления средами. — Поддержка лучших практик контроля версий для ноутбуков, заданий и конфигураций. Требования: — Высшее образование в области компьютерных наук, информационных систем, инженерии или смежных областях либо дополнительный опыт работы 4 года при отсутствии диплома. — Опыт работы не менее 8 лет в администрировании облачных платформ данных или сред больших данных. — Практический опыт администрирования Databricks (Azure, AWS или GCP Databricks). — Глубокое понимание рабочих пространств, кластеров, заданий, пулов и ноутбуков Databricks. — Знание облачных хранилищ (Azure Data Lake Storage, S3, GCS) и сетевых концепций. — Опыт управления идентификацией и доступом в соответствующем облачном провайдере (Azure AD, IAM и др.). — Навыки скриптинга и автоматизации (Python, PowerShell, Bash). — Знакомство с концепциями Spark (кластеры, исполнители, задания, партиции) и вопросами производительности. — Опыт мониторинга и устранения проблем с производительностью и надежностью платформы. — Сильные аналитические и проблемно-ориентированные навыки. — Умение объяснять сложные технические концепции технической и нетехнической аудитории. — Ориентация на клиента и качество сервиса. — Способность работать самостоятельно и в команде в динамичной agile-среде. Желательные квалификации: — Сертификация Databricks (например, Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator). — Опыт работы с Unity Catalog и тонкой настройкой доступа к данным. — Опыт работы с CI/CD инструментами (Azure DevOps, GitHub Actions, Jenkins). — Опыт работы с Infrastructure as Code (предпочтительно Terraform). — Опыт работы с инструментами агрегации логов и мониторинга (Azure Monitor, CloudWatch, Datadog, Splunk). — Знание Delta Lake, структурированного стриминга и архитектур Lakehouse. — Опыт работы в корпоративных средах с высокими требованиями к безопасности и соответствию. Условия: — Удаленная работа из любой точки. — Полная занятость, 40 часов в неделю. — Требуется получение и поддержание уровня безопасности Public Trust с обязательной процедурой снятия отпечатков пальцев. — Требования к резидентству в США: проживание в США или территориях последние 5 лет с ограничениями на время отсутствия. — Конкурентная зарплата в диапазоне $10,669 – $14,435 в месяц ($128,039 - $173,229 в год), зависит от опыта и местоположения. — Пакет социальных льгот, включая медицинское страхование, 401(k) с компанией-матчем, оплачиваемый отпуск и другие выплаты. — Гибкий график работы и поддержка баланса работы и личной жизни. — Процесс верификации личности с использованием биометрии и ИИ для предотвращения мошенничества.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and are the world’s leading tokenizer of public equities. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue to grow the firm. We're fully remote, with team members across the U.S. About the role We are seeking an experienced attorney to join our legal team as Senior Counsel, Commercial . This role will work closely with business development, partnerships, marketing, operations, and other commercial teams to structure, negotiate, and execute the agreements that support Ondo’s growth. The Senior Counsel, Commercial will serve as a practical and commercially minded legal partner across a broad range of strategic relationships and transactions. This individual will lead negotiations, advise stakeholders on contractual and regulatory risk, and develop scalable processes that enable the business to move quickly while protecting Ondo’s interests. The ideal candidate has significant experience negotiating sophisticated commercial agreements within financial services, fintech, blockchain, or another high-growth technology business. They should be comfortable managing complex negotiations independently, balancing legal risk with commercial objectives, and partnering closely with senior business stakeholders in a fast-moving environment. Responsibilities Serve as a primary legal partner to business development, partnerships, marketing, operations, and other commercial teams Draft, review, and negotiate a wide range of agreements, including strategic partnerships, distribution, technology, licensing, vendor, service, referral, marketing, data, and confidentiality agreements Lead complex commercial negotiations from initial structuring through execution and renewal Advise stakeholders on contractual, regulatory, reputational, and counterparty risks associated with commercial initiatives Support relationships with financial institutions, fintech companies, blockchain protocols, exchanges, wallets, custodians, market makers, technology providers, and other ecosystem partners Develop pragmatic solutions that balance legal protection with commercial objectives and speed of execution Advise marketing and business teams on promotional campaigns, partner communications, public claims, and related commercial arrangements Partner with compliance and regulatory counsel to address issues involving securities, financial promotions, anti-money laundering, data protection, licensing, and geographic restrictions Develop and maintain contract templates, negotiation playbooks, approval processes, and scalable commercial legal workflows Provide training and guidance to business teams on contracting, negotiation, and risk management Manage outside counsel and specialist advisers where appropriate Support the AGC Commercial and other senior legal personnel on strategic transactions and business priorities Requirements JD degree from an accredited U.S. law school 5–8+ years of legal experience at a major law firm and/or a high-growth blockchain, fintech, financial services, or technology company Significant experience drafting and negotiating complex commercial agreements Strong understanding of commercial contracting principles, including liability, indemnification, intellectual property, data use, confidentiality, service levels, termination rights, and regulatory allocation Experience advising business development, partnerships, marketing, sales, operations, or other commercial teams Strong commercial judgment and the ability to provide clear, practical advice in situations involving competing business and legal considerations Ability to lead negotiations independently and engage credibly with senior internal stakeholders and sophisticated counterparties Understanding of the blockchain industry and the commercial relationships that support digital-asset or financial-services businesses Familiarity with securities, anti-money laundering, financial promotions, data protection, and other relevant financial-services regulations Excellent drafting, negotiation, analytical, and communication skills Highly organized, detail-oriented, and able to manage multiple transactions and deadlines simultaneously Comfortable operating independently in a fast-moving and ambiguous environment Experience with tokenized assets, institutional financial products, or international commercial arrangements is a plus What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

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. About the Role Location: Bengaluru (Hybrid mode) Exp: 3-15yrs We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless. Responsibilities Build Infrastructure Software: Architect, write, and maintain scalable services, APIs, and tools that automate infrastructure provisioning, configuration, and runtime operations. Streamline Developer Workflows: Develop platform software and self-service tools that reduce operational toil, enabling engineering teams to deploy and manage resources safely and efficiently. Drive Engineering Best Practices: Apply standard software engineering practices—including modular design, code reviews, automated testing, and CI/CD—to infrastructure codebases and tooling. Ensure System Reliability: Write observability frameworks, automated testing pipelines, and self-healing tools to maintain high availability and proactively catch operational failures. Collaborate Cross-Functionally: Partner closely with Security, Systems, and Product Engineering teams to integrate infrastructure software seamlessly across the application lifecycle. Desirable Skills, Knowledge, and Experience Demonstrable experience as a Software Engineer building production software, with an emphasis on backend systems, APIs, or developer platform tools. Strong proficiency in modern programming languages (e.g., Go, Python, Java, or Rust) with a track record of writing clean, testable, and maintainable code. Solid understanding of software design patterns, API architecture (REST, gRPC), and data structures applied to operational tooling. Hands-on experience with Infrastructure as Code frameworks (e.g., Terraform, Ansible) and programmatically interacting with infrastructure APIs. Strong analytical, debugging, and system troubleshooting skills to diagnose issues across both application logic and underlying infrastructure. Bonus Points Experience writing software that interacts with cloud providers (AWS, GCP, or Azure) or container orchestration platforms (Kubernetes, Docker). Familiarity with building robust CI/CD systems, automated integration testing, or continuous deployment tooling. Active contributions to open-source developer tools, CLI applications, or infrastructure platforms. 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: Remote - Bulgaria; Sofia, Bulgaria - Office About MariaDB MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. The Role You will be responsible for the development and testing of a highly scalable, geo-distributed, highly performant database solution. You should have experience working on distributed software solutions and have a strong background working with on-premise and cloud-based solutions. You will also be responsible for managing a number of Software Engineers on the project. Java Senior Software Engineer Here at MariaDB, we are seeking a highly motivated and experienced Java Senior Software Engineer to lead the development of our highly scalable, geo-distributed, and highly performant database solution. This role requires a strong background in distributed software solutions, experience with both on-premise and cloud-based environments, and proven leadership abilities. You’ll be joining a small, highly skilled team where your work will have a direct impact. Expect to dig deep into replication, sharding, concurrency, and performance optimization—making our systems faster, smarter, and more resilient. You’ll collaborate globally, contribute to open source, and push the limits of what a distributed database can do. What You’ll Do Ensure the scalability, performance, and reliability of the database system. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve complex issues in distributed environments. Profile, debug, and fine-tune performance with tools like JFR, JMC, async-profiler and VisualVM—and your own tricks. Keep code clean and reviewable with Git. Develop and optimize the data structures for providing the best experience accessing data in high data-intensive scenarios. Implement the best way to store data to disk and send data over the network to other nodes (including failure handling and recovery after failures). Implement and integrate algorithms for high availability of the whole cluster. Investigate flaws in data consistency algorithms, which may require thorough debugging either on multi-node clusters and in low-level byte-represented data. What You Bring 4+ years of experience in Java programming. Deep knowledge of concurrency in Java and Java Memory Model and/or of concurrency model in other programming systems. Excellent Java SE knowledge including IO, JVM internals, etc. Experience with SQL databases. Experience in troubleshooting Java applications and/or databases. Excellent leadership, problem-solving, and debugging skills. Experience working effectively in fast-paced, collaborative environments. Deep SQL knowledge (MariaDB/MySQL/PostgreSQL/Apache Ignite/GridGain) and passion for distributed systems (Raft, MVCC, ACID, etc). Understands MVCC and P2PL, and the difference between Snapshot Isolation and REPEATABLE READ. The following may be a strong plus: Experience with NoSQL and/or distributed databases. Experience with building highload distributed systems and algorithms. Experience with Docker, Kubernetes and/or public Cloud (AWS, GCE, Azure, etc.) Open-source contributions, automation expertise, or performance/load testing. Active use of AI. Location Hybrid / Remote – Bulgaria Remote – Croatia, Estonia, Finland, Italy, Poland, Romania, Serbia, Spain, Armenia, Cyprus. Why You’ll Love It Here A globally distributed team where your work is tangible, valuable and appreciated. Remote or Hybrid work options (location dependent) Projects that stretch your skills and make an impact at scale. Competitive pay, 25 days paid annual leave (plus holidays), and a culture that values creativity and clean engineering. Compensation Salary Range : €74,200 - €90,000 per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. Where 50 Billion Daily Predictions Begin The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships. The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user. On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible. Your Mission & Who We Are Looking For: - Kotlin & Android Internals Expertise: You will own the core development and optimization of the adjoe Ads SDK, which runs inside hundreds of publisher apps. We are looking for someone with 8+ years of Android experience (or 3+ years specifically in SDK/library development) who works primarily with Kotlin and has a deep understanding of Android lifecycles, ProGuard/R8, and multithreading to ensure zero tolerance for instability on millions of devices. - High-Performance Network Design: You will collaborate with backend teams to design APIs and capture behavioral signals that power 50 billion daily ML predictions. You need a strong track record in API design, maintaining strict backward compatibility for thousands of external integrators, and working with high-performance networking protocols like gRPC, Protobuf, Wire, and OkHTTP. - Resource-Constrained Optimization: You will ensure every ad impression feels native and fast while participating in 120 million daily auctions. You must know how to design for minimal footprint, optimizing battery impact and memory usage, as your code executes directly inside someone else’s app and device. - Data-Driven Observability: You will monitor, debug, and maintain SDK reliability at scale across millions of global users. You will leverage observability and data tools—including Sentry, Kibana, and AWS (S3, QuickSight, Athena)—to track errors, investigate SDK behavior, and turn raw data into clear engineering decisions. - Build Automation & Delivery: You will maintain and improve our CI/CD pipelines to guarantee efficient, reliable SDK delivery. This requires hands-on experience with Gradle and GitLab CI to automate the testing, building, and packaging of our mobile libraries. - Plus – AdTech & Low-Level Systems: It is a major plus if you bring experience in ad-tech or programmatic advertising (aligning products with IAB specifications). Additionally, experience with NDK/JNI (C/C++ interop on Android) or parallel iOS development experience is highly valued to help support our cross-platform 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 770M 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 that 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.

Задачи: — Управление доставкой услуг по портфелю разнообразных клиентов/аккаунтов. — Работа с клиентами по установке, конфигурации и внедрению приобретённых продуктов и технологий. — Партнёрство с клиентами для быстрого понимания функционала продукта и оптимизации выгод. — Обеспечение клиентов процессами, техническими и экспертными консультациями на ранних этапах внедрения. — Ведение федеральных проектов с соблюдением моделей доставки CPS, процессов, методологий и стандартов безопасности (FedRAMP, FISMA, GovCloud). — Построение отношений с руководителями клиентов, партнёрами и интеграторами для успешной реализации. — Соотнесение возможностей продуктов Collibra с кейсами клиентов. — Помощь клиентам в уточнении бизнес-целей и разработке решений с использованием продуктов Collibra. — Разработка планов проектов на основе CPS Account Plan и инициатив клиентов. — Помощь клиентам в понимании их проблем и вызовов. — Содействие Solution Architect в сборе требований и предложении дополнительного функционала. — Предоставление федеральным агентствам адаптированных стратегий управления данными с лучшими практиками. — Эффективное информирование клиентов и заинтересованных сторон о статусе проектов. — Управление эскалациями, рисками, проблемами и изменениями в проектах. — Выявление и продвижение ценности и измеримых результатов в проектах. — Выступление доверенным советником и связующим звеном между внутренними командами и клиентами. — Взаимодействие с отделами продаж, инженерии, продукта, поддержки и руководством для согласования приоритетов. — Понимание платформы Collibra, операционной модели, рабочих процессов и интеграций. — Помощь в адаптации новых членов команды. — Консультирование по продуктам, решениям и процессам. — Обучение членов команды в ходе доставки услуг. — Совместная работа с руководством для улучшения процессов вовлечения и доставки. — Выявление возможностей расширения использования продуктов Collibra в клиентах. — Вклад в рост бизнеса CPS через расширение аккаунтов, стратегическое планирование и клиентскую поддержку. — Помощь клиентам в понимании дополнительных технологий и функций для увеличения ценности. Требования: — Гражданство США и проживание на территории США. — Опыт управления проектами услуг не менее 5 лет в поддержку федеральных агентств США. — Знания в области управления данными, качества данных или управления данными. — Активный уровень допуска безопасности (Secret/TS/TS-SCI). — Знание минимум двух-трёх областей: процессы управления данными, управление данными, мастер-данные, каталогизация данных, управление бизнес-правилами. — Понимание ведущих PaaS провайдеров, Data Lakes, баз данных и интеграционных платформ, используемых федеральными агентствами. — Опыт работы с AWS, Azure, Kubernetes, инфраструктурой и платформами. — Понимание API через Java, Python или аналогичные скриптовые языки для кастомных решений в Enterprise Linux или Unix. — Знание хранилищ данных, ETL и интеграции данных. Условия: — Стандартный базовый оклад от $96,000 до $120,000 в год. — Возможность дополнительной комиссионной оплаты. — Конкурентный пакет вознаграждений, включая бонусы, акции, ежемесячный Flex Fund, пенсионные планы 401k и другие преимущества. — Гибкая программа льгот, поддерживающая разнообразные жизненные ситуации. — Политика равных возможностей и инклюзивности в компании. Контакты для отклика отсутствуют в тексте.

Задачи: — Служить стратегическим партнёром и менеджером по взаимоотношениям для федеральных клиентов Collibra Public Sector. — Обеспечивать удовлетворённость клиентов, стимулировать использование и приносить ценность от решений Collibra. — Сотрудничать с командами сервисов и продаж для создания бесшовного клиентского опыта. — Координировать техническую команду для успешной реализации, внедрения и получения ценности. — Партнёрство с продажами, сервисами, поддержкой, инженерией и продуктовой командой для защиты здоровья аккаунта, дохода и удовлетворённости клиентов. — Проактивно выявлять и снижать риски, предотвращать и управлять эскалациями, оценивать состояние клиентов. Обязанности: — Управление отношениями: быть основным контактом для федеральных аккаунтов, строить доверительные отношения с ключевыми заинтересованными сторонами, системными интеграторами и партнёрами. — Понимать бизнес-цели клиентов, технические потребности и критерии успеха, согласовывать услуги Collibra с их целями. — Поддержка продлений и расширений, демонстрируя техническую ценность и лучшие практики. — Поддержка внедрения, обновлений и операций, координация технических обсуждений и архитектурных обзоров. — Планирование и управление проектами: координация поддержки, сервисов и инженерии, обеспечение успешного выполнения проектов в срок и в рамках бюджета. — Оценка здоровья аккаунта и предотвращение рисков: выявление ключевых индикаторов риска, сотрудничество с продажами и техническими командами. — Управление эскалациями: быть контактным лицом для разрешения проблем, предоставлять обратную связь продуктовой команде. Требования: — Опыт не менее 5 лет в технической клиентской роли (TAM, Solutions Engineer, Systems Engineer или аналогичной). — Опыт поддержки федеральных клиентов США (гражданские, DoD, IC). — Понимание корпоративного программного обеспечения, SaaS или облачных решений. — Умение объяснять сложные технические концепции технической и нетехнической аудитории. — Опыт работы в регулируемых или высокозащищённых средах. — Отличные коммуникативные, организационные и навыки управления заинтересованными сторонами. — Знание и опыт развертывания корпоративных решений. — Знание иерархии и операций правительства. — Знакомство с нормативными требованиями, такими как FedRAMP, NIST 800-53. — Опыт работы с облачными платформами AWS, Azure или GCP, особенно GovCloud или эквивалент. — Опыт работы с системными интеграторами. — Технический опыт в управлении данными. — Активный или имеющий право на получение допуска безопасности США. — Требование гражданства США и проживания на территории США. Условия: — Зарплата от $104,000 до $130,000 в год без дополнительной комиссионной оплаты. — Конкурентный пакет вознаграждений, включая бонусы, акции, ежемесячный фонд гибкости, пенсионные планы 401k и другие преимущества. — Гибкая программа льгот, поддержка разнообразных жизненных обстоятельств. — Политика равных возможностей и инклюзивности. Меры успеха: — В первые 30 дней: понять цели клиентов, выявить риски, участвовать в командных встречах. — В первые 60 дней: разработать план успеха и план устранения рисков, участвовать в командных встречах. — В первые 90 дней: начать реализацию планов, вести командные встречи, развивать отношения с ключевыми контактами.

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 100,000 - EUR 125,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .