Вакансии

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

🔥Проект - Building and scaling a multi-asset trade and portfolio management platform with strong backend focus including designing, developing, and maintaining backend services, APIs, and data pipelines.

💰 до $2,500 net.

Location: Tallinn Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in Java with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development   Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. WHAT YOU WILL DO - Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. - Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. - Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. - Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. - Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. - Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. WHAT WE'RE LOOKING FOR - A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. - Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. - Fluency in Python or Rust; comfortable writing systems code where performance and security matter. - Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. - A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. - Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. NICE-TO-HAVES - Experience with Firecracker, microVMs, or similar virtualization technologies. - Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. - Experience with GPU clusters, CUDA, or ML workloads. - Prior SRE or platform engineering experience at scale. - Open-source contributions or widely used internal tools. 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: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The OFCI Transportation & Warehousing Manager is a hands-on role that is responsible for smooth and timely logistics flow of OFCI materials, goods, and information within Nebius supply chain and production process. The expeditor will coordinate delivery of goods between suppliers, vendors, and internal departments, preventing delays and maintaining project schedules. The successful candidate for this position will have hands-on experience in the logistics space with shipping owner furnished critical components for infrastructure. Your responsibilities will include: Monitor and track orders, shipments, and production schedules. Follow up with suppliers and vendors to ensure timely delivery of materials. Identify and resolve delays or supply chain issues. Coordinate with purchasing, warehouse, and production teams. Maintain accurate records of orders, deliveries, and inventory status. Expedite urgent orders and prioritize critical shipments. Communicate status updates to management and stakeholders. Ensure compliance with company policies and delivery requirements. We expect you to have: Diploma or degree in Logistics, Supply Chain Management, Business, or related experience Experience in expediting, procurement, or logistics (preferred) Strong organizational and time-management skills Excellent communication and coordination abilities Problem-solving and decision-making skills Attention to detail and ability to multitask Proficiency in MS Office and ERP/logistics systems Preferred qualifications Competencies & Behavioral Traits In Depth knowledge of local legislation / standards re movement of goods / equipment in U.S. Ability to work under pressure and meet deadlines Negotiation and follow-up skills Analytical thinking Team collaboration Customer and service orientation Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $111,900 — $139,800 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a highly technical and hands-on accounting professional to join our growing finance organization. As a Technical Accounting & Financial Reporting Manager, you will play a critical role in supporting a public company environment by leading the analysis and documentation of complex accounting matters and ensuring high-quality, compliant financial reporting. This role is ideal for someone who thrives in a fast-evolving AI infrastructure business, where transactions span revenue contracts, large-scale infrastructure investments, strategic financing, and M&A activity. Your responsibilities will include: Lead technical accounting analysis and documentation for complex and non-routine transactions, including: Consolidation under ASC 810, including variable interest entity (VIE) assessments, primary beneficiary determinations, and voting interest model analysis for joint ventures, special purpose entities, and other complex structures Revenue recognition under ASC 606 (multi-element arrangements, usage-based pricing, contract modifications) Lease accounting under ASC 842 (data centers, equipment, build-to-suit arrangements) Construction and capital projects (capitalization, impairment, interest capitalization) Business combinations and investments (purchase accounting, valuation coordination) Debt and equity financing transactions (convertible instruments, warrants, embedded features) Prepare and review technical accounting memos and position papers to support accounting conclusions Support the preparation and review of SEC filings (20-F, 6-K), including footnotes and disclosures Utilize financial reporting tools (e.g., Workiva, Active Disclosure, Toppan Merrill Bridge) to prepare and manage SEC filings and ensure accuracy and efficiency in reporting Partner closely with Legal, FP&A, Tax, and Operations to evaluate accounting implications of contracts and strategic initiatives Monitor and implement new accounting pronouncements and assess their impact on the company Collaborate with external auditors, including leading discussions on technical accounting positions Support SOX compliance and enhance internal controls over financial reporting Drive improvements in financial reporting processes, documentation, and scalability Assist with ad hoc projects related to capital markets activity, M&A, and global expansion We expect you to have: Bachelor’s degree in Accounting or Finance; CPA preferred 7 - 10 years of experience (Big 4 or national public accounting firm required; public company experience strongly preferred) Deep expertise in U.S. GAAP, with strong experience in ASC 606 and ASC 842 Demonstrated experience applying ASC 810 consolidation guidance, including VIE assessments, identification of variable interests, and primary beneficiary analysis Experience with complex transactions such as M&A, financing arrangements, and capital projects Strong experience with SEC reporting and financial statement disclosures Hands-on experience with financial reporting tools such as Workiva, Active Disclosure, or Toppan Merrill Bridge Exceptional technical writing skills, including preparation of accounting memos Ability to operate independently and manage multiple priorities in a fast-paced environment Strong interpersonal skills with the ability to influence cross-functional stakeholders Experience in AI, cloud infrastructure, data centers, or high-growth technology companies It will be an added bonus if you have: Familiarity with large-scale infrastructure or hardware-intensive business models Experience with NetSuite ERP system Exposure to international operations and multi-entity structures Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $139,600 — $174,500 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York; Charlotte; Atlanta; Washington D.C.; Boston Workplace: Remote WHY PRODUCT ENGINEERING AT LANGFUSE Your work will have an outsized impact. Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels. Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution. You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.   YOU WILL GROW AT LANGFUSE BY - Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api. - Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing. - Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition. - Write public documentation about the features you own. At Langfuse, docs are product. - Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.   WHAT WE’RE LOOKING FOR - Someone who has built features or even entire products from scratch end-to-end - Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends - Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it. - Taste for great developer experience: you care about API design, UI details, and clear documentation - Interest in open source software and genuine excitement about talking to developers about their problems - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse, analytics databases, or building complex data visualizations - Former founder or early startup experience - Contributions to popular open source projects - ML/AI background or familiarity with the LLM framework ecosystem No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Founding Engineer IT Вакансии Ищем Founding Engineer, который будет доводить продукты студии от согласованного скоупа до продакшена примерно за две недели.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior What a server can observe at each step of a request, and what a client controls at each step A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works Building or maintaining a patched browser Networks, proxies and IP reputation Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Israel; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior What a server can observe at each step of a request, and what a client controls at each step A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works Building or maintaining a patched browser Networks, proxies and IP reputation Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.