About the Role


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.

Experience Requirements


• 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

Required Skills (Mandatory)


• FastAPI

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

• Pydantic

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

• Redis

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

Core Skills (Working Knowledge Expected)


• 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)

Responsibilities


• 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

Nice to Have


• Experience with Docker, Kubernetes, and CI/CD pipelines

• Familiarity with observability tools (logging, tracing,
metrics)

• Exposure to microservices architecture at scale