Senior Python Developer

Job Title : Senior Python Developer (FastAPI) CloudOps

Experience : 6+ Years

Employment Type : Full-Time

Job Summary :

We are looking for a highly skilled Senior Python Developer with 6+ years of experience in building scalable backend applications and cloud-native solutions. The ideal candidate will have strong expertise in Python (FastAPI), AWS Cloud, microservices, Docker/Kubernetes, and end-to-end CI/CD implementation. You will be responsible for designing, developing, deploying, and maintaining enterprise-grade backend services while collaborating with cross-functional teams in an Agile environment.

Key Responsibilities :

• Design, develop, and maintain high-performance RESTful APIs using Python and FastAPI.

• Develop scalable backend applications following microservices architecture and industry best practices.

• Design and implement secure, reliable, and highly available cloud-native solutions on AWS.

• Build and maintain backend services, integrations, and data processing workflows.

• Design database schemas and optimize application performance for high-volume systems.

• Develop reusable, maintainable, and well-documented code.

• Write unit, integration, and performance tests to ensure application quality.

• Troubleshoot production issues, perform root cause analysis, and implement permanent fixes.

• Participate in code reviews and contribute to architectural and technical design discussions.

• Work closely with Product Owners, QA, DevOps, and other engineering teams throughout the software development lifecycle.

• Maintain technical documentation and follow Agile development practices using Jira and Confluence.

End-to-End CI/CD Responsibilities :

• Design, implement, and manage end-to-end CI/CD pipelines for backend applications.

• Automate code build, testing, security scanning, packaging, and deployments across development, QA, staging, and production environments.

• Configure and maintain CI/CD pipelines using Jenkins, GitHub Actions, or Bitbucket Pipelines.

• Build automated deployment strategies such as Blue-Green, Canary, and Rolling Deployments.

• Integrate automated unit, API, and integration testing into deployment pipelines.

• Deploy and manage containerized applications using Docker and Kubernetes (EKS/ECS).

• Automate infrastructure provisioning using Terraform or AWS CloudFormation.