Backend Engineer

We're looking for a senior Backend API Engineer with 8+ years of experience building and scaling production APIs, including at least 4 years working hands-on with FastAPI. You will design, build, and maintain high-performance, secure backend services, and act as a technical leader on architecture and system design decisions.

     8+ years of overall experience building and operating backend APIs in production environments

     Minimum 4 years of hands-on experience with FastAPI specifically (not just general Python API frameworks)

     Demonstrated experience owning services end-to-end design, development, deployment, and monitoring

     Prior experience mentoring engineers or leading technical design discussions is a plus

     FastAPI

4+ years of deep, hands-on production experience routing, dependency injection, async endpoints, middleware, background tasks

     Pydantic

Strong command of data validation, serialization, custom validators, and schema design (v1/v2)

     Redis

Caching strategies, pub/sub, session/token storage, expiry and eviction policies

     System Design ability to architect scalable, fault-tolerant, high-throughput backend systems

     Authentication & Authorization OAuth2, RBAC, secure API access patterns

     JWT token issuance, validation, refresh flows, and security best practices

     HTTPX async HTTP client usage for reliable service-to-service communication

     API Design RESTful principles, versioning, rate limiting, backward compatibility

     Message Queues experience with Kafka, RabbitMQ, SQS, or Celery for async processing

     L1 Cache Handling in-memory/application-level caching alongside Redis (L2) for low-latency reads

     Exception Handling (RFC 9457) standardized "Problem Details for HTTP APIs" error responses

     SQL strong working knowledge of relational databases (PostgreSQL/MySQL), query optimization, and ORM usage (SQLAlchemy)

     Design and develop high-performance RESTful APIs using FastAPI with clean, validated schemas via Pydantic

     Architect scalable backend systems, making sound trade-offs on performance, reliability, and maintainability

     Implement multi-layer caching (Redis + in-memory L1 cache) to optimize latency and throughput

     Build secure authentication/authorization flows using JWT and OAuth2

     Integrate with external and internal services using async HTTP clients (HTTPX)

     Design and consume message queues for asynchronous and event-driven processing

     Implement standardized, consistent error handling following RFC 9457

     Write efficient, optimized SQL queries and review database interaction patterns

     Drive system design discussions and review architecture proposals across teams

     Write unit/integration tests and uphold high code quality and observability standards

     Experience with Docker, Kubernetes, and CI/CD pipelines

     Familiarity with observability tools (logging, tracing, metrics)

     Exposure to microservices architecture at scale