QE Automation Engineer

About the Role

Join our Acceleration Center India and contribute to the design, development, and maintenance of automated testing solutions that support software quality across the full delivery lifecycle within our Advisory practice. As an Associate, focus on learning by taking on project tasks, supporting senior team members, building technical skills in a fast-paced environment, and using curiosity and adaptability to navigate changing priorities while developing your professional brand.

Key Responsibilities

• Developing automated test scripts for web, mobile, and API solutions using Selenium and other test automation tools.
• Creating and maintaining test cases, test data, and execution plans across functional, integration, compatibility, and user acceptance testing.
• Executing regression, performance, and security testing to validate application behavior across release cycles.
• Logging defects, tracking remediation progress, and retesting resolved issues to confirm expected outcomes.
• Collaborating across development and quality teams to clarify requirements, identify test coverage gaps, and improve test readiness.
• Supporting release management activities by validating deployments, coordinating test execution, and documenting results.
• Applying quality engineering methods to improve test processes, automation coverage, and defect prevention.
• Contributing to client support activities by analyzing test results and assisting with post go-live issue triage.

Requirements & Tech Stack

• Proficiency in Selenium or similar tools for browser automation testing.
• Experience applying QA methodologies across functional, integration, and user acceptance testing.
• Experience supporting test case generation, defect reporting, and release activities.
• Familiarity with software quality engineering and digital tooling.

Qualifications

• At least a Bachelor's degree.
• At least 2 years of experience.
• Oral and written proficiency in English.
• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Computer and Information Science, Computer Engineering, Graphic Design, Information Technology, Management Information Systems, Mathematics.
• Demonstrated curiosity in AI-enabled engineering and modern cloud-style platforms.