Backend Engineer

• Own the database architecture for a multi-tenant SaaS: select and implement tenancy model(s) (e.g., RLS per tenant, schema-per-tenant, or database-per-tenant), design schemas, and define migration/versioning strategies for safe, zero-downtime releases.
• Raise the performance ceiling: index strategies, partitioning, connection pooling (e.g., PgBouncer), query tuning (EXPLAIN/ANALYZE), caching patterns, and workload isolation for noisy-neighbor control.
• Build for reliability: set RTO/RPO targets; design backup, PITR, DR, and blue/green or expand-migrate-contract rollout patterns.
• Embed security & compliance: encryption in transit/at rest, least-privilege access, secrets management, audit logging, PHI handling, and HIPAA-aligned controls and documentation.
• Productionize on AWS: stand up and tune Aurora/RDS for PostgreSQL; integrate VPC, subnets, SGs, KMS, CloudWatch/CloudTrail; advise on ECS/EKS/Fargate service patterns that affect DB workload.
• Level-up developer experience: define database interfaces for .NET services (EF Core/Dapper), enforce SQL and migration conventions, and enable efficient local/dev/test workflows (containers, seed data).
• Test like you mean it: establish automated database testing —pgTAP or equivalent for unit tests, migration tests in CI, and load/perf testing harnesses (e.g., pgBench/k6) tied to release criteria.
• Observability & SLOs: build dashboards and alerts for latency, throughput, autovacuum, bloat, locks, and error budgets; drive incident reviews and continuous tuning.
• Partner & influence: work shoulder-to-shoulder with our architect, app engineers, QA, and security to ship features that are correct, fast, and safe—while advocating best practices.
• AI First Mentality: Use modern AI tools to draft queries/migrations/tests, explain query plans, generate fixtures, and accelerate root-cause analysis—responsibly and securely.

Senior Database Engineer, PostgreSQL

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