Backend Engineer (Python/FastAPI, AWS)

Role: Backend Engineer

Experience: 4–6 years

Location: Gurgaon /Pune

Role Overview

We are looking for a Backend Engineer with 4–6 years of hands-on experience in designing and developing scalable backend APIs and systems using Python and FastAPI. The engineer will be responsible for building and optimizing high-performance APIs that connect backend ML/GenAI pipelines and agents with front-end applications, while ensuring reliability, security, and scalability.

The role also involves strong contributions in DevOps, CI/CD automation, cloud infrastructure on AWS, database design (RDS, vector DBs), and cluster setups to deliver production-grade systems.

Key Responsibilities

API & Backend Development

• Design, implement, and optimize RESTful APIs using FastAPI to serve data, ML/GenAI pipelines, and agentic workflows.
• Ensure APIs are high-performance, secure, and scalable, with proper logging, monitoring, and error handling.
• Build modular backend services with clean architecture, testability, and extensibility.

System Integration & Scaling

• Integrate backend APIs with ML/GenAI agents, data pipelines, and front-end applications.
• Manage vector databases (FAISS, Pinecone, Weaviate, etc.) for retrieval workflows.
• Configure and optimize AWS RDS instances for high-availability and low-latency queries.
• Work with clusters, autoscaling groups, and load balancing for backend services.

DevOps & Infrastructure

• Design and maintain CI/CD pipelines using GitLab/GitHub Actions for backend and ML services.
• Automate deployment and monitoring of APIs on AWS (EKS, ECS, Lambda, SageMaker endpoints).
• Implement infrastructure as code (IaC) using Terraform/CloudFormation.
• Set up observability tools (CloudWatch, Prometheus, Grafana, ELK) for logs and metrics.

Best Practices & Engineering Standards

• Enforce good software engineering practices: clean code, testing (unit/integration), code reviews.
• Apply security best practices: authentication/authorization, API rate limiting, data encryption.
• Conduct performance profiling, load testing, and optimizations for backend systems.
• Collaborate with cross-functional teams (frontend, data engineering, ML engineers) to deliver integrated solutions.

Required Skills

• Programming: Strong expertise in Python with production-grade FastAPI development.
• API Engineering: Experience in designing RESTful APIs with authentication, authorization, and documentation (Swagger/OpenAPI).
• Databases: Hands-on with RDS (PostgreSQL/MySQL) and Vector DBs (FAISS, Pinecone, Weaviate, Milvus).
• AWS Cloud: Proficiency in EC2, RDS, S3, Lambda, ECS/EKS, CloudWatch.
• DevOps: Strong knowledge of CI/CD pipelines, Docker, Kubernetes, Terraform/CloudFormation.
• Software Engineering Practices: Clean architecture, design patterns, unit/integration testing, code quality.
• Experience with async programming (asyncio, aiohttp) for high-throughput APIs.
• Familiarity with MLOps integration (connecting ML pipelines/agents to APIs).
• Knowledge of caching systems (Redis, Memcached) for performance optimization.