Own the reliability, performance, and scalability of WorkOS's PostgreSQL infrastructure.
Analyze and implement best practices for our database clusters, including replication, connection pooling, high availability, and disaster recovery.
Build and maintain observability for database metrics (query performance, replication lag, connection saturation, storage growth) and ensure we meet our database SLOs.
Provide database expertise to product engineering teams through migration reviews, query optimization guidance, and schema design consultation.
Develop automation and self-service tooling that enables engineers to safely interact with databases without bottlenecking on the DBRE team.
Participate in on-call rotations and lead incident response for database-related production issues, performing root cause analysis and implementing permanent fixes.
Plan and manage database capacity, forecasting growth and ensuring our infrastructure can handle increased workloads.
Collaborate with SREs to roll out infrastructure changes to production environments, with a focus on minimizing risk to the data layer.
Document operational procedures, runbooks, and architectural decisions so learnings become repeatable actions and eventually automation.
Drive improvements to backup and recovery strategies, regularly testing and validating disaster recovery procedures.

5+ years of experience running PostgreSQL in production at scale, with strong knowledge of internals (WAL, MVCC, vacuum tuning, query planner, indexing, replication).
Solid software engineering skills. You write production-quality code, not just scripts. Experience with Python, Go, Ruby, or similar languages.
Experience with infrastructure-as-code and configuration management (Terraform, Ansible, Chef, or similar).
Strong SQL skills and the ability to review and optimize complex queries for high-throughput, low-latency environments.
Experience with database high-availability patterns: streaming replication, connection pooling (PgBouncer), failover automation (Patroni or similar).
Familiarity with cloud database services on AWS (RDS, Aurora, DynamoDB, ElastiCache) or equivalent platforms.
Experience with monitoring and observability tools (Datadog, Prometheus, Grafana, or similar) applied to database workloads.
Comfort with on-call responsibilities and a track record of effective incident response.
Strong written and verbal communication skills. You document your work and share context proactively.
A proactive, ownership-driven mindset. When you see something broken, you fix it. When you see a pattern of toil, you automate it.

Database Reliability Engineer

Key skills