---
title: 'Senior Software Engineer (Managed PostgreSQL) at Nebius'
canonical: 'https://feeny.ai/job/senior-software-engineer-managed-postgresql-nebius-amsterdam-2trme3brrqsc'
type: 'job'
last_seen: '2026-11-07'
---

# Senior Software Engineer (Managed PostgreSQL) at Nebius

- **Company:** Nebius
- **Location:** Amsterdam, Netherlands / Germany / United Kingdom
- **Posted:** 2026-06-09
- **Last confirmed live:** 2026-11-07
- **Apply:** https://careers.nebius.com/?gh_jid=4872697101

## Job description

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-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 (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

## Company Overview
- **One-liner**: Nebius builds a full-stack AI cloud platform providing GPU-accelerated infrastructure and services for training, fine-tuning, and deploying AI models at scale.
- **Entity Type**: Public (ticker: NBIS on Nasdaq)
- **Headquarters**: Amsterdam, Netherlands
- **Founded**: 2024 (as Nebius Group N.V., the successor to the former Yandex N.V.)
- **Founders**: Arkady Volozh (founder of Yandex)

## Core Business
- **Primary industry**: AI Cloud Infrastructure & Services (Technology, Information and Internet)
- **Target customers**: AI innovators of all sizes — from startups to research institutes to enterprises — across sectors including healthcare, life sciences, robotics, finance, and entertainment, as well as national AI programs.
- **Mission or purpose statement**: To become one of the world's largest AI infrastructure companies, building the infrastructure for the age of AI.

## Products & Services
- **Nebius AI Cloud**: A full-stack cloud platform offering raw GPU compute, serverless and managed inference, and MLOps tooling. Built on custom hardware with non-virtualized GPUs and InfiniBand networking, designed for high performance and reliability.
- **Nebius Token Factory**: A service for running and managing large-scale inference workloads, including serving open-source and custom models.
- **Nebius Echo**: An AI agent built directly into the Nebius console for operational support.
- **Nebius Agents Blueprint**: An open architecture for building production-ready AI agents.
- **Reference Platform NVIDIA Cloud Partner**: A designation for partners operating large clusters built in coordination with NVIDIA, adhering to a tested and optimized reference architecture.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed in the search results; as a public company (NBIS), market cap fluctuates daily.
- **Key Metric**: Total funding raised: **$10.29 billion** (including a $4.3B post-IPO equity round in March 2026, a $2.8B convertible note in September 2025, and a $1.4B post-IPO equity round in May 2011). Notably, a **$27 billion** long-term AI infrastructure supply agreement with Meta was announced in 2026.
- **Notable Investors/Partners**: Meta (long-term infrastructure agreement), NVIDIA (Reference Platform Cloud Partner), Bloom Energy (power infrastructure partnership).
- **Growth Signals**: 
    - **Headcount**: 900 employees (+114.9% YoY growth; +8.2% monthly growth).
    - **Active Job Postings**: 145 open roles (Yearly growth: +866.7%).
    - **Key Metrics**: Claims to offer better TCO for fine-tuning and inference vs. AWS; reports a 70% reduction in AI setup pipeline time for a partner (RoboForce); operates with a mean time between failures (MTBF) of 56.6 hours for a 3,000-GPU cluster.
    - **New Initiatives**: Launching the "Nebius Early Talent Program" for early-career engineers; announced an AI factory launch team in Lappeenranta, Finland; acquired Tavily and licensed Clarifai's inference IP.

## Competitive Advantages
- **Custom Hardware**: Non-virtualized GPUs with InfiniBand networking, providing raw, dedicated performance without the overhead of virtualization.
- **Full-Stack, Hyperscaler-Like Platform**: Combines the scale and reliability of a hyperscaler with the performance of a supercomputer, including built-in MLOps tooling.
- **NVIDIA Reference Platform Partner**: A trusted partner with a validated, optimized architecture for large-scale AI workloads.
- **Elasticity**: Offers flexible consumption options from small experiments to global-scale deployments.
- **Deep Engineering Talent**: Built around a core of 500+ AI experts and hundreds of engineers with deep expertise in building world-class tech infrastructure (many from Yandex).

## Strategic Focus
- **Massive Infrastructure Build-Out**: Executing on a multi-billion dollar agreement with Meta and expanding data center capacity in Europe and the US.
- **Power & Energy Partnerships**: Partnering with Bloom Energy to secure reliable, on-site power for AI infrastructure.
- **Product Innovation**: Continuously releasing new products (Echo, Agents Blueprint, Token Factory) to capture more of the AI developer workflow.
- **Talent Acquisition**: Aggressively hiring across engineering, sales, and operations to support hypergrowth, with a dedicated Early Talent Program.
- **Ecosystem Expansion**: Targeting specific verticals like healthcare, life sciences, and robotics with dedicated solutions and partnerships.

## Why Work Here
- **High-Impact Work**: Employees solve some of the hardest technical problems in AI, building infrastructure that powers the next generation of technology.
- **Culture**: Described as fast-moving, with a culture of trust and autonomy. New ideas are encouraged, experimentation is welcomed, and ownership is part of everyday work.
- **Work Model**: Remote-friendly work culture built on trust and autonomy, with flexibility designed around time zones and personal commitments.
- **Compensation**: Top-tier pay and benefits.
- **Development**: Clear development paths to take careers forward, with mentorship from industry experts.
- **Team**: A diverse, multicultural team with hubs across Europe, North America, and the Middle East.
- **Notable Perks**: Thoughtful team gatherings, 24/7 support by default, and access to free white-glove proof-of-concepts.

## Sources
1. [Nebius Official Website](https://nebius.com)
2. [Nebius Careers Page](https://nebius.com/careers)
3. [Nebius LinkedIn Page](https://www.linkedin.com/company/nebius)
4. [Nebius Group LinkedIn Page](https://www.linkedin.com/company/nebius-group)

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