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.
