Python SDET with Generative AI

About Client:

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineeringreflecting its strategic commitment to driving innovation and value for clients across industries.

. Job Title: Python Automation with Gen AI

Location: Pan India.

Experience: 9+ years

Job Type : Contract to hire.

Notice Period:- Immediate joiners.

Job Summary:

• Design, develop, and maintain automation and backend solutions using Python.
• Build frameworks and test suites using pytest and Selenium .
• Integrate and leverage Generative AI tools (e.g., GitHub Copilot, RAG, LLM, OpenAI APIs) to enhance automation and development workflows.
• Implement and maintain CI/CD pipelines using Jenkins , GitHub Actions , or Helios .
• Work with enterprise-level systems , including APIs, databases, and integration modules.
• Apply strong OOP and analytical skills for scalable and maintainable code.
• Collaborate with cross-functional teams including DevOps, QA, and Product to ensure end-to-end delivery.
• (Preferred) Apply domain knowledge in Capital Markets or Financial Services to design context-aware solutions.

Technical Skills

• Programming: Python (6+ years)
• Automation Tools: Pytest, Selenium
• AI Tools: GitHub Copilot, OpenAI APIs
• DevOps / CI-CD: Jenkins, Helios, GitHub Actions
• Databases: SQL / NoSQL
• Version Control: Git / GitHub
• Domain: Capital Markets / Finance (preferred)