Python Backend Developer

We are looking for a Senior Software Analyst to contribute to the development and delivery of scalable, secure, and reliable software solutions for our product platform. This role is ideal for a strong hands-on engineer with experience in backend development, cloud technologies, CI/CD, and Agile, who works effectively with cross-functional teams to build high-quality solutions. Responsibilities Contribute to the development, testing, deployment, and support of software solutions for Python backend applications, microservices, and REST APIs. Build and support cloud-based solutions on AWS with a focus on scalability, reliability, and security, following software quality practices throughout the SDLC. Contribute to automated testing and deployment processes to improve software quality and delivery efficiency. Support production systems and troubleshoot technical issues, perform root-cause analysis, and implement fixes and improvements. Use AI-assisted development, testing, and monitoring tools to improve productivity and quality. Contribute to documentation, knowledge sharing, and continuous improvement initiatives within the team. Minimum Qualifications 3+ years of experience in software engineering with strong hands-on expertise in Python backend development in building microservices, REST/GraphQL APIs, and cloud-based applications Working knowledge of PostgreSQL, containerization technologies Familiarity with automated testing tools and frameworks like Pytest Understanding of Agile development practices and experience working in cross-functional teams. Strong communication, collaboration, and problem-solving skills. Familiarity with AWS services such as API Gateway, EC2, S3, Lambda, and RDS. Exposure to secure SDLC practices and automated security checks in CI/CD pipelines. B.E/B.Tech (CSE) / M.E/M.Tech (CSE) / MCA in Computer Science or Information Technology. Preferred Qualifications Exposure to frontend technologies such as Angular, HTML, CSS, and JavaScript/jQuery; PHP knowledge is a plus. Experience using AI-assisted software development lifecycle practices and tools to improve engineering productivity and quality.