Backend Engineer - Python

Job Description :

- Design and own Python/FastAPI microservices (async I/O, WebSockets) for real-time voice/data workflows.

- Model and operate MongoDB/Atlas: schema design, indexing, aggregation pipelines, query tuning, TTL/archival, change streams.

- Integrate third-party APIs/services (auth, webhooks, retries, idempotency, observability) and productionize them.

- Contribute to LLM features: tool/function calling, structured outputs (Pydantic/JSON Schema), RAG, evaluations, safety/guardrails.

- Create and maintain deployment pipelines; add metrics, logs, and traces; drive incident response and postmortems.

- Collaborate with frontend, AI, and QA; write documents and runbooks; communicate clearly; and work as a supportive team member.

- 5+ years of backend experience with Python (strong) and FastAPI (or similar async frameworks).

- MongoDB proficiency: schema design, indexes, aggregation, profiling, performance tuning; operational know-how on Atlas.

- CI/CD (GitHub Actions/GitLab CI or similar) and Docker.

- Strong debugging across distributed systems; excellent communication and teamwork.

- Proven third-party integration experience (auth, rate limits, pagination, webhooks).

- Server-side integration with providers (e.g., OpenAI/Azure OpenAI/Bedrock) and streaming responses.

- RAG pipelines (chunking, embeddings, vector stores), prompt versioning, structured outputs.

- Evaluation & safety basics (offline eval sets, regression tests, guardrails/PHI redaction, latency & cost tracking).

- Node.js/TypeScript for tools/edge services.

- PostgreSQL/Redis; event/messaging (Kafka/Kinesis/RabbitMQ).

- Real-time comms (SIP/WebRTC), audio streaming, STT/TTS.

- Security/compliance awareness (SOC 2, HIPAA), secrets management.

- Hands-on AWS: IAM & VPC basics, S3, SQS/SNS, API Gateway/ALB, CloudWatch; deploy via ECR + ECS/EKS or Lambda.