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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're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database. You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters. You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones. Your responsibilities : Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance. Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about. Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime. Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack. Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Must-haves : 5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production). Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go. Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning. Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling. The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. Nice - to - have s : Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs. Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem. AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads. 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.

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're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database. You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters. You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones. Your responsibilities : Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance. Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about. Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime. Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack. Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Must-haves : 5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production). Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go. Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning. Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling. The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. Nice - to - have s : Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs. Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem. AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads. 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.

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're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database. You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters. You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones. Your responsibilities : Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance. Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about. Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime. Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack. Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Must-haves : 5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production). Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go. Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning. Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling. The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. Nice - to - have s : Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs. Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem. AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads. 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.

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 Nebius is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services. Your responsibilities will include: Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes Collaborate closely with hardware, networking, and data center operations teams to improve reliability What we expect you to have: 5+ years of professional software engineering experience Strong production experience with Python and Go, or the ability to ramp up quickly Solid Linux fundamentals and comfort debugging live systems Ability to write reliable, maintainable code and dig into complex, ambiguous problems Experience building and operating production systems at scale It will be an added bonus if you have: Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages) CCNA (Cisco Certified Network Associate) or equivalent networking experience Key employee benefits: 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. Compensation We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses. Join Nebius Today! 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.

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're looking for a Senior Software Engineer to help us build Nebius Serverless AI — our GPU-native platform for deploying inference endpoints, batch jobs, and AI workloads without managing infrastructure. Customers run production AI on it today; the mission now is to make it the fastest, cheapest, most reliable place to ship GPU workloads on the planet. This is a senior, high-ownership position on a fast-evolving service. You'll set the technical bar: own the architecture of the parts you ship, drive the hard design decisions, and raise the standard of everything around you through code reviews, design reviews, and the way you operate. The work is end-to-end — from cold-start latency in the runtime to the API contract customers integrate against. You'll work from our office in Amsterdam or London, hybrid. In this position, your responsibility will be to: Design and build core components of the Serverless platform — the control plane, scheduler, runtime, autoscaler, and the APIs customers integrate against. Own the hardest engineering problems on the service: cold-start latency, GPU scheduling under contention, multi-tenant isolation, fair-share quotas, request routing at the edge. Set the technical direction for the areas you own — drive architecture decisions, write the design docs, and align the team behind the chosen approach. Raise the engineering bar across the team through code reviews, design reviews, and example — the kind of senior presence that compounds. Run the service like an SRE: define SLOs, build observability, lead incident response, and make sure every postmortem changes the platform, not just the runbook. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Partner closely with Product, GTM, and infrastructure teams to translate customer needs into a coherent technical roadmap. We expect you to have: 7+ years of professional software engineering experience, with a track record of shipping production distributed systems at scale. Excellent knowledge of Golang, or you are ready to quickly switch to it. Deep experience with Kubernetes and container orchestration — you've operated it in anger, not just deployed it. Strong distributed-systems instincts: consistency vs. availability trade-offs, queueing, backpressure, retries, idempotency, multi-tenancy. Experience designing and operating high-throughput, low-latency services — you know where the milliseconds go and how to get them back. A history of being the engineer others look to on hard problems — driving design discussions, unblocking teammates, and shipping the thing nobody else wanted to touch. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. It would be an added bonus if you had: Experience building serverless or function-as-a-service platforms (Knative, AWS Lambda, GCP Cloud Run, Cloudflare Workers, Modal, Replicate, Together, Fireworks, Anyscale, or similar). GPU scheduling experience — Kubernetes device plugins, MIG, MPS, time-slicing, NVIDIA GPU Operator. ML inference experience — vLLM, TensorRT-LLM, Triton Inference Server, SGLang, model loading and warm-pool strategies. Cold-start optimization at the runtime, image, or snapshot level (FireCracker, gVisor, checkpoint/restore, image streaming). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to relevant open-source projects in the serverless, scheduling, or inference ecosystems. 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.

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're looking for a Senior Software Engineer to help us build Nebius Serverless AI — our GPU-native platform for deploying inference endpoints, batch jobs, and AI workloads without managing infrastructure. Customers run production AI on it today; the mission now is to make it the fastest, cheapest, most reliable place to ship GPU workloads on the planet. This is a senior, high-ownership position on a fast-evolving service. You'll set the technical bar: own the architecture of the parts you ship, drive the hard design decisions, and raise the standard of everything around you through code reviews, design reviews, and the way you operate. The work is end-to-end — from cold-start latency in the runtime to the API contract customers integrate against. You'll work from our office in Amsterdam or London, hybrid. In this position, your responsibility will be to: Design and build core components of the Serverless platform — the control plane, scheduler, runtime, autoscaler, and the APIs customers integrate against. Own the hardest engineering problems on the service: cold-start latency, GPU scheduling under contention, multi-tenant isolation, fair-share quotas, request routing at the edge. Set the technical direction for the areas you own — drive architecture decisions, write the design docs, and align the team behind the chosen approach. Raise the engineering bar across the team through code reviews, design reviews, and example — the kind of senior presence that compounds. Run the service like an SRE: define SLOs, build observability, lead incident response, and make sure every postmortem changes the platform, not just the runbook. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Partner closely with Product, GTM, and infrastructure teams to translate customer needs into a coherent technical roadmap. We expect you to have: 7+ years of professional software engineering experience, with a track record of shipping production distributed systems at scale. Excellent knowledge of Golang, or you are ready to quickly switch to it. Deep experience with Kubernetes and container orchestration — you've operated it in anger, not just deployed it. Strong distributed-systems instincts: consistency vs. availability trade-offs, queueing, backpressure, retries, idempotency, multi-tenancy. Experience designing and operating high-throughput, low-latency services — you know where the milliseconds go and how to get them back. A history of being the engineer others look to on hard problems — driving design discussions, unblocking teammates, and shipping the thing nobody else wanted to touch. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. It would be an added bonus if you had: Experience building serverless or function-as-a-service platforms (Knative, AWS Lambda, GCP Cloud Run, Cloudflare Workers, Modal, Replicate, Together, Fireworks, Anyscale, or similar). GPU scheduling experience — Kubernetes device plugins, MIG, MPS, time-slicing, NVIDIA GPU Operator. ML inference experience — vLLM, TensorRT-LLM, Triton Inference Server, SGLang, model loading and warm-pool strategies. Cold-start optimization at the runtime, image, or snapshot level (FireCracker, gVisor, checkpoint/restore, image streaming). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to relevant open-source projects in the serverless, scheduling, or inference ecosystems. 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.

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 #LI-MM1 We’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud. You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures. What You’ll Work On: Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA) Storage systems: replication, consensus, self-healing, and data migration What We Expect: 6+ years of professional software engineering experience Strong knowledge of C++ Solid understanding of algorithms and data structures Basic knowledge of operating system internals (I/O, memory, scheduling) Ability to write reliable, maintainable code and debug complex systems Team-oriented mindset and fluency in English 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.

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 Senior Software Engineer to build the event-processing pipelines and services that turn Nebius product usage into revenue. You will work on systems that process a continuous stream of usage events, where correctness and failure recovery matter as much as throughput. The output is money: a silently dropped or double-counted event is a real financial error. Usage of every Nebius product arrives as a stream of events. Our pipelines and services ingest, validate, enrich and price it in near real time, and deliver the results to invoicing, reporting and customer-facing account management. In this role, you will: Build stateful streaming pipelines that compute billed consumption in near real time. Develop and operate Go services that ingest usage events, move data between our storage systems and deliver consumption data to users through usage APIs and billing data exports. Guarantee correctness under failures: idempotency, exactly-once processing and reconciliation. Operate transactional storage, persistent queues and change data capture under high throughput. Build reusable streaming infrastructure rather than solving each use case independently. Improve the reliability, scalability, latency and observability of the billing platform. Take end-to-end ownership of your systems: design, implementation, reliability and deployment. We expect you to have: Strong software engineering fundamentals. Professional experience building and operating backend, streaming or data-intensive systems. The ability to reason about consistency and data correctness under failures. Experience with databases, messaging systems or event-processing platforms. The ability to investigate unfamiliar systems and solve problems without an obvious predefined solution. The ability and willingness to learn the team's technology stack. It will be an added bonus if you have: Experience with a stateful stream-processing framework such as Apache Flink or Kafka Streams. Experience designing streaming pipelines. Go development experience. Experience operating services in Kubernetes. Technology stack Go, Python Apache Flink YDB YTsaurus Messaging and event-streaming systems Kubernetes 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.