Backend Engineer

3 days ago

Pune, Maharashtra, India Tekskills Inc. Full time ₹ 8,00,000 - ₹ 16,00,000 per year

Job Description – 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.

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