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Backend Engineer

165k – 250kSan Francisco, CABackend EngineeringOnsite2+ YOE
Summary

Backend engineer building and operating REST APIs, data models, and production services in Python on AWS/K8s for an AI memory platform.

About the role

What You'll Do

  • Design & ship REST APIs: Define contracts, versioning, auth, rate limits; write migrations and docs.
  • Model data & schemas: Relational (Postgres) and graph (e.g., Neo4j); enforce integrity and performance.
  • Debug customer issues end-to-end: Trace with logs/metrics/traces, reproduce, fix, and write preventative guardrails.
  • Optimize performance: Tune slow SQL with EXPLAIN/ANALYZE, indexes, partitioning, pagination, and caching (e.g., Redis).
  • Build services in Python: Async where it helps (FastAPI/Starlette, Django/DRF, Flask), background jobs, queues, schedulers.
  • Operate in the cloud: Containerize with Docker, deploy on Kubernetes (EKS), and use AWS primitives (EC2, RDS/Aurora, S3, IAM).
  • Instrument everything: Custom metrics, structured logging, tracing; set SLOs and alerts (CloudWatch/Prometheus/OpenTelemetry).
  • Collaborate & ship: Work with frontend and research to scope APIs and deliver features to production.

Minimum Qualifications

  • 2+ years building backend systems and shipping REST APIs to production.
  • Strong Python fundamentals; experience with async programming and a major web framework (FastAPI/Django/Flask).
  • Solid data modeling and SQL skills; hands-on with query tuning and performance debugging in Postgres/MySQL.
  • Experience with graph databases (e.g., Neo4j or Amazon Neptune) and appropriate data modeling trade-offs.
  • Comfortable running services on AWS with Docker and Kubernetes.
  • Demonstrated root-cause analysis and ownership from incident to prevention.
  • Clear communicator and effective collaborator with frontend, research, and customers.

Nice to Have

  • GraphQL/gRPC; event-driven systems (SNS/SQS/Kafka) and background workers (Celery/RQ).
  • Caching, rate limiting, multi-tenancy, and feature-flag strategies.
  • Security & privacy best practices (PII handling, secrets management).
  • Deep observability experience (OpenTelemetry, SLO-based alerting).
  • Prior work with search/retrieval or memory systems.
  • On-call experience and running blameless postmortems.
Skills
PythonFastAPIDjangoFlaskPostgreSQLMySQLNeo4jAmazon NeptuneDockerKubernetesAWSRedisGraphQLKafkaOpenTelemetry
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