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Backend Engineer (Python / FastAPI, AWS)
Tekskills Inc.Pune, Maharashtra, India15 hours ago
Job descriptionIntegrate 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. 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. 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. 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.
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
DevOps & Infrastructure
Best Practices & Engineering Standards
Required Skills
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Backend Engineer • Pune, Maharashtra, India
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