Test Engineer with AI

Project Description:

Join a high-performing Agile pod as a Mid-Level QA Engineer, supporting both automated and manual testing of integration endpoints. You’ll work closely with senior engineers to enhance test coverage, improve quality, and leverage AI-assisted testing tools to accelerate development, defect detection, and testing efficiency.

Responsibilities:

• Write and maintain automated test scripts for REST APIs and integration workflows
• Execute manual tests, identify defects, and support root cause analysis
• Work closely with developers to validate functionality and ensure quality across features
• Participate in Agile ceremonies and contribute to sprint reviews and planning
• Assist in maintaining test data and improving test coverage
• Leverage AI-assisted tools to support test case creation, debugging, and test data generation

Mandatory Skills Description:

• 2-4 years of QA experience in Agile environments

Testing & Automation:

• Experience with test automation tools (e.g., Selenium, Postman)
• Good understanding of API and integration testing concepts
• Familiarity with writing and executing automated and manual test cases
• Understanding of various test types and creating test plans for releases

Technical Skills:

• Familiarity with basic scripting or Java-based test frameworks
• Understanding of REST APIs and JSON-based data exchange

DevOps & Tooling:

• Exposure to CI/CD tools (e.g., GitLab, Jenkins)
• Familiarity with version control systems

AI-Assisted Testing:

• Exposure to AI-assisted coding and testing tools (e.g., GitLab Copilot, IDE-based copilots)
• Familiarity with using generative AI for test case suggestions, script generation, debugging, and documentation
• Eagerness to adopt AI tools to improve efficiency, learning, and test quality

Collaboration:

• Strong collaboration and communication skills

Nice-to-Have Skills Description:

• Ability to work effectively in Agile teams and learn from senior engineers