Software engineer

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. We're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads.

• 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.

• 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.
• Будет плюсом: 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

• 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
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI