# Senior Software Engineer (Managed PostgreSQL)

**Company**: Nebius
**Location**: Amsterdam
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4872697101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d5a376c5-f82

## Description

We're looking for a Senior Software Engineer to help 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 will work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and customer escalations.

Responsibilities:

- Develop 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 production problems.

Must-haves:

- 5+ years of professional software engineering experience with significant time spent building or operating production PostgreSQL at scale.

- Strong software engineering skills in Go or another backend/systems language.

- Deep knowledge of PostgreSQL internals: MVCC, WAL, replication, 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 , fluent reading of EXPLAIN ANALYZE, reasoning about lock behaviour, handling database corruptions.

- Ability to write reliable code and dig into complex problems.

- Teamwork-oriented approach.

Nice-to-haves:

- 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.

- 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.

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

## Skills

### Required
- Go
- PostgreSQL
- software engineering
- Postgres internals
- replication
- WAL
- vacuum
- query planning
- extensions
- partitioning
- Patroni
- Stolon
- pg_auto_failover
- pgBackRest
- WAL-G
- pgBouncer
- PgCat
- logical replication tooling

### Nice to have
- pgvector
- pgvectorscale
- Kubernetes operators
- managed-database control planes
- AI/ML workload experience

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4872697101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)