Backend Engineer - Python

Description :

Job Title : Backend Engineer

Location : Hitech City, Hyderabad

Employment Type : Full-Time (As per company timings)

Duration : Permanent

Notice Period : Immediate Joiners Only

Experience : 5-7 Years

About the Role :

We are looking for a highly skilled Backend Engineer with strong expertise in Python and modern backend frameworks. In this role, you will design, build, and optimize scalable backend services, integrate third-party APIs, and contribute to the architectural decisions that power our product.

You will collaborate closely with engineering, product, and AI teams to build high-performance, reliable systems.

Key Responsibilities :

- Design, develop, and maintain scalable backend services using Python and FastAPI (or similar async frameworks).

- Architect efficient data models and build optimized MongoDB schemas, indexes, aggregations, and queries.

- Implement CI/CD pipelines and containerized deployments using GitHub Actions/GitLab CI and Docker.

- Debug and troubleshoot performance issues across distributed systems.

- Integrate third-party services (authentication, webhooks, rate-limited APIs, pagination, etc.

- Work cross-functionally with product and AI teams to deliver high-quality features.

Must-Have Skills :

- 5+ years of backend engineering experience.

- Strong proficiency in Python and FastAPI (or any async Python framework).

- Expertise in MongoDB : schema design, indexing, aggregation pipelines, profiling & performance tuning.

- Operational understanding of MongoDB Atlas.

- Hands-on experience with CI/CD pipelines and Docker.

- Strong debugging skills and ability to troubleshoot distributed systems.

- Excellent communication, problem-solving, and teamwork abilities.

- Proven experience with third-party API integrations.

Preferred / Good to Have (LLM / AI Experience) :

- Experience integrating with AI/LLM providers (OpenAI, Azure OpenAI, AWS Bedrock) and handling streaming responses.

- Exposure to RAG pipelines, embeddings, vector databases, chunking, prompt versioning, and structured outputs.

- Familiarity with AI evaluation & safety practices : offline eval sets, regression tests, guardrails, PHI redaction, latency & cost monitoring