QA DevOps Engineer

Introduction

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your Role And Responsibilities

• Design, develop, and maintain automated test scripts across multiple layers of the product architecture (UI, API, backend).
• Integrate automated testing with CI/CD pipelines to ensure continuous testing and faster feedback.
• Collaborate with product and development teams to understand requirements and ensure test coverage.
• Execute functional, integration, regression, and performance testing for new and existing features.
• Diagnose, debug, and document software defects, and work with developers to resolve them quickly.
• Ensure high availability and scalability of test infrastructure and frameworks.
• Support test planning, strategy, and execution across different test levels and environments.
• Participate in Agile ceremonies and contribute to sprint planning and retrospectives.
  
  

• 5+ years of experience in software QA with a strong focus on test automation and DevOps integration.
• Strong understanding of functional, system integration and end-to-end testing practices.
• Strong programming/scripting experience in at least one language (e.g., Python, Java, JavaScript).
• Hands-on experience with automation tools like TestNG, Selenium, Playwright, Cypress, or similar.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
• Proficiency in designing and implementing test plans, test cases, and test scripts.
• Deep understanding of core testing concepts, such as test-driven development (TDD), behavior-driven development (BDD), and API testing.
• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
• Performance and load testing experience using tools like JMeter, Gatling, or similar.
• Experience with cloud platforms such as AWS, Azure, or IBM Cloud.
• Understanding of AI concepts and models