Senior Backend Engineer (Python)

Senior Backend Engineer (Python | FastAPI )

Role Summary

We are looking for a highly skilled Senior Backend Engineer with 3–8 years of experience building scalable, cloud-native SaaS applications. The ideal candidate has deep expertise in Python and FastAPI, strong knowledge of database architecture and performance optimization, and hands-on experience deploying and managing applications on Kubernetes. You will work closely with product, frontend, DevOps, and AI teams to build secure, high-performance backend systems capable of supporting enterprise-scale workloads.

Roles & Responsibilities

• Design, develop, and maintain high-performance scalable backend services and APIs using FastAPI.
• Architect and build scalable backend systems for multi-tenant SaaS platforms, ensuring high availability, security, and reliability.
• Design, optimize, and maintain relational and NoSQL databases with a strong focus on schema design, indexing, query optimization, transactions, and performance tuning.
• Develop containerized applications using Docker and deploy them on Kubernetes environments.
• Collaborate with DevOps teams to build and maintain CI/CD pipelines and automate deployments.
• Integrate machine learning models and background task queues (Celery, Redis, RabbitMQ, Kafka), and external APIs into production systems.
• Ensure high code quality through unit and integration testing (e.g., PyTest), peer reviews, and best practices.
• Troubleshoot and resolve issues in development and production environments.
• Participate in architecture discussions, code reviews, and technical design decisions.
• Create and maintain technical documentation for APIs, system architecture, and deployment processes.

Required Skills & Qualifications

• 3–8 years of backend software development experience using Python.
• B.E /B.Tech / M.Tech degree in Computer Science, Information Technology, or a related field.
• Hands-on experience with FastAPI (preferred), Flask, and/or Django in production environments.
• Strong expertise in PostgreSQL/MySQL, including database design, indexing, query optimization, transactions, and performance tuning.
• Working knowledge of MongoDB or other NoSQL databases.
• Hands-on experience with Docker and Kubernetes for containerized application deployment and orchestration.
• Strong understanding of RESTful API design, authentication (JWT/OAuth), and API security best practices.
• Experience with Git, GitHub, and modern CI/CD pipelines.
• Good understanding of asynchronous programming and concurrent processing in Python.

Preferred Skills

• Experience with microservices architecture and distributed systems.
• Hands-on experience with Redis, Celery, RabbitMQ, Kafka, or other messaging/streaming technologies.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with GraphQL, WebSockets, and real-time data processing.
• Familiarity with real time stream processing and AI pipelines
• Understanding of data science workflows, statistics, or mathematics concepts.
• Knowledge of observability tools, logging, monitoring, and application performance optimization.

Skills Required
Git, Github, Docker, Kafka, Kubernetes, Rabbitmq, Oauth, FastAPI, Celery, Jwt, Redis, Mongodb, Mysql, Postgresql, Python