Senior Database Administrator

The Opportunity

• Scale and tune high-throughput PostgreSQL clusters that support continued global expansion and new product initiatives.
• Own PostgreSQL reliability fundamentals: WAL behavior, checkpoints, autovacuum, query planning, locking, replication lag, backup/restore, and capacity planning.
• Help build and operate vector data capabilities, including pgvector and dedicated VectorDB platforms where appropriate.
• Define production patterns for embeddings, approximate nearest neighbor indexes, metadata filtering, recall/latency tradeoffs, reindexing, data freshness, and drift management.
• Strengthen high-availability, disaster-recovery, PITR, and backup approaches through sound design and regularly validated procedures.
• Reduce manual operational work by building automation, improving process consistency, and enabling safe, low-friction database workflows.
• Improve observability and alert quality by championing meaningful metrics, reducing noise, and ensuring operational clarity across PostgreSQL and vector workloads.
• Enhance database security through robust access controls, disciplined patching and upgrade practices, encryption, auditability, and secure operational patterns.
• Contribute to modern platform initiatives, including containerized environments, infrastructure-as-code workflows, GitOps, reproducible deployments, and self-service database operations.
• Partner with service, AI, and platform teams to drive better performance patterns, operational readiness, data hygiene, and safe use of vector search across the engineering organization.
• Participate in on-call rotations with a long-term focus on making on-call predictable, well-instrumented, and shaped by preventative engineering.

What You Bring

• 5+ years operating PostgreSQL in high-volume production environments, including performance tuning, replication, backup/restore, upgrades, and incident troubleshooting.
• Strong understanding of PostgreSQL internals and operations: MVCC, transaction isolation, locks, WAL, checkpoints, autovacuum, bloat, statistics, query planner behavior, partitioning, and index strategy.
• Hands-on experience with high availability and read scaling: streaming replication, replication slots, failover, lag management, PITR, backups, and disaster-recovery drills.
• Experience with connection pooling and traffic management for PostgreSQL, especially PgBouncer, HAProxy, Kubernetes service routing, or comparable patterns.
• Practical VectorDB or vector search experience, such as pgvector, Qdrant, Milvus, Weaviate, OpenSearch vector search, or similar systems.
• Ability to reason about vector index types and operational tradeoffs, including HNSW/IVFFlat-style indexes, recall, latency, memory, ingestion throughput, metadata filters, rebuilds, and versioned embeddings.
• Practical experience with CI/CD, GitOps, and Infrastructure-as-Code workflows. Terraform experience is ideal.
• Solid cloud, Linux, storage, and networking fundamentals.
• Experience with containers and orchestration platforms, including building container images and managing Kubernetes workloads at scale.
• Strong security instincts around access control, credential lifecycle, encryption, auditability, upgrade processes, and safe operational workflows.
• Observability expertise: monitoring, alerting hygiene, SLOs, dashboards, query-level visibility, and readiness for incident response.
• Strong communication and collaboration skills with the ability to partner with stakeholders, negotiate long-term plans, write formal documentation, and tie success to specific metrics and KPIs.

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