Stream
Engineering
StaffDatabaseReliabilityEngineer–PostgreSQL
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Database Reliability Engineer – PostgreSQL at Stream. Skills: PostgreSQL internals, Database reliability, Self-managed databases. Diagnose performance issues. Resolve performance issues”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Deep PostgreSQL expertise, Production ownership at scale, Self-managed databases, Sharding a real Postgres workload, Engineering mindset, Judgement alongside AI tooling
Nice to Have
Multi-tenant database experience, Pushing PostgreSQL beyond conventional use, Messaging, social, or event-heavy storage backgrounds, Connection pooling, logical replication / CDC, Postgres-compatible distributed SQL, Open source contributions
What You'll Do.
Diagnose performance issues
Resolve performance issues
Own operational characteristics
Manage high availability
Set standards for Postgres
Collaborate with application engineers
Shape data infrastructure direction
How You'll Work.
Team & Collaboration
Small, senior team; Collaborate with application engineers
Full Job Description
Location: Remote OR Hybrid from Amsterdam ABOUT STREAM Stream powers real-time Chat https://getstream.io/chat/, Video https://getstream.io/video/, Activity Feeds https://getstream.io/activity-feeds/, and AI Moderation https://getstream.io/moderation/ for billions of end-users across thousands of apps — from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience. The Role We're looking for a hands-on Database Engineer to own PostgreSQL as a production system at Stream. You'll work directly with a small, senior team and be responsible for the performance, reliability, and operability of the databases that store and serve data for Stream's entire real-time platform. This is a deep, hands-on engineering role. You'll spend your time in query plans, storage internals, and the operational realities of running databases under heavy, continuous load — not administering them from a distance. Why This Role Exists We have 35-40 different DBs (largest one is 15tb), with large writing throughput. To save hosting costs, we plan on migrating from AWS RDS to self-hosted Postgres on Kubernetes. For that, we need help from someone who: What You'll Work On - Performance and internals — diagnose and resolve performance issues from the query down to the storage engine: indexing strategy, query planning, vacuum and bloat management, and tuning under sustained write load. - Reliability and operations — own the operational characteristics of our Postgres fleet, including backup, replication, and high availability as we take on more responsibility for running these systems ourselves. - Scaling the data layer — work on sharding, partitioning, and the architectural decisions that keep the database performant as data and traffic grow. Beyond that, you'll set standards for how we run Postgres, collaborate
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