The ideal candidate will be responsible for developing high-quality applications. They will also be About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.
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 Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.
· Job Title: Python Automation Test Engineer
· Location: PAN INDIA
· Experience: 5+Years
· Job Type : Contract to hire.
· Notice Period:- Immediate joiners.
Mandatory Skills: Python Automation Test Engineer, Pytest, Robot Framework, Generative AI ,GitHub, Copilot
Job Summary:
SDET- Python and GitHub Copilot
Detailed JD
Experience: At least 6+ years of professional experience in development and automation testing.
Python Development: Minimum 3 years of hands-on experience with Python.
GenAI Tools: Familiarity with Generative AI tools (e.g., GitHub Copilot) and at least 1 year of experience working on projects that integrate GenAI capabilities (e.g., using OpenAI APIs).
Automation Testing Frameworks: Proficiency in tools like pytest and Selenium.
CI/CD Pipelines: Practical knowledge of CI/CD tools such as Jenkins (experience with Helios and GitHub Actions is a plus).
Enterprise Systems Knowledge: Understanding of end-to-end enterprise systems, including integrations, APIs, databases, and object-oriented programming (OOP) principles.
Analytical Skills: Strong critical thinking and logical reasoning abilities.
Domain Knowledge: Experience in capital markets is an asset to possess
Seniority Level
Mid Senior Level
Industry
Employment Type
Job Functions
Skills
Mandatory Skills:
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