Backend engineer

2 weeks ago

Pune, India Tekskills Inc. Full time

Job Description – Backend Engineer (Python/Fast API, 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 Fast API. The engineer will be responsible for building and optimizing high-performance APIs that connect backend ML/Gen AI pipelines and agents with front-end applications, while ensuring reliability, security, and scalability. The role also involves strong contributions in Dev Ops, 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 Fast API to serve data, ML/Gen AI 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/Gen AI 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. Dev Ops & Infrastructure Design and maintain CI/CD pipelines using Git Lab/Git Hub Actions for backend and ML services. Automate deployment and monitoring of APIs on AWS (EKS, ECS, Lambda, Sage Maker endpoints). Implement infrastructure as code (Ia C) using Terraform/Cloud Formation. Set up observability tools (Cloud Watch, 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 Fast API development. API Engineering: Experience in designing RESTful APIs with authentication, authorization, and documentation (Swagger/Open API). Databases: Hands-on with RDS (Postgre SQL/My SQL) and Vector DBs (FAISS, Pinecone, Weaviate, Milvus). AWS Cloud: Proficiency in EC2, RDS, S3, Lambda, ECS/EKS, Cloud Watch. Dev Ops: Strong knowledge of CI/CD pipelines, Docker, Kubernetes, Terraform/Cloud Formation. Software Engineering Practices: Clean architecture, design patterns, unit/integration testing, code quality. Experience with async programming (asyncio, aio 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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