Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 19, 2026.
Job Description
Skill Set :
Python for AWS
Total Experience :
7.00 to 10.00 Years
No of Openings :
1
Job Post Date :
24/09/2026
Job Expiry Date :
26/10/2026
Domain :
IT
Location :
HYDERABAD [India]
Job Reference No :
4109109
Job Summary
Position Software Consultant ‿ Engineering (Python Backend Developer)
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
5+ 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.
B.E/B.Tech (CSE) / M.E/M.Tech (CSE) / MCA in Computer Science or Information Technology.
Preferred Qualifications
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.
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.

