Senior · Гибрид · Амстердам, Нидерланды · Английский B2
Навыки
AWS
Azure
Форензика и реагирование
Google Cloud
Kubernetes
Machine Learning
Мониторинг и observability
Ещё 7
Ответственность за результат
Patroni / pgbouncer
PostgreSQL
Оптимизация запросов
RAG
SQL
Работа в команде
О компании и продукте
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.
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.
Требования
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)