QA Automation Engineer – AI-Enhanced Testing

• Test Strategy Development: Design and implement test strategies to validate the functionality, performance, reliability, and security of our solutions within the Intelligence value stream in Service Management.
• Quality Assurance: Execute automated and exploratory tests, identify defects, and work closely with the development team to ensure issues are understood and resolved promptly.
• AI-Enhanced Testing: Use AI tools to support QA activities such as test case creation, test data preparation, documentation, defect analysis, and automation support.
• AI Feature Validation: Help validate AI-enabled product capabilities, including expected behavior, reliability, edge cases, user experience, and output consistency.
• Continuous Improvement: Drive quality improvements by analyzing test results, identifying trends, and implementing practical best practices for software quality assurance.
• Cross-Functional Collaboration: Collaborate with developers, product managers, and other stakeholders to ensure a clear understanding of requirements and provide feedback on testability and quality risks.
• Test Automation: Develop and maintain automated test suites to enhance the efficiency and coverage of testing activities across multiple products.
• Documentation and Reporting: Document test cases, report defects, and provide clear and concise feedback to the engineering team to drive product improvements.

Must have:

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Experience: 3+ years of experience in software quality assurance, with a focus on testing modern software solutions.
• Test Automation Expertise: Experience designing, developing, maintaining, and executing automated tests.
• AI Awareness: Interest in using AI tools to support testing activities, improve efficiency, and increase test coverage.
• AI Feature Testing: Openness to working with AI-enabled product features and learning how to test them effectively.
• Azure Experience: Familiarity with Microsoft Azure services, including cloud-based testing, deployments, or Azure-based environments.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to identify root causes and support issue resolution.
• Communication: Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Agile Methodology: Experience working in an Agile/Scrum environment, participating in sprint planning, refinement, and daily stand-ups.

Nice to have:

• AI Testing Exposure: Previous exposure to testing AI-powered or intelligent product capabilities.
• AI-Supported QA Workflows: Experience using AI tools for QA tasks such as test generation, documentation, analysis, automation support, or defect investigation.
• C# / .NET Experience: Experience with C# / .NET for test automation frameworks or supporting tools.
• DevOps Knowledge: Understanding of DevOps practices and CI/CD pipelines, particularly in the Azure ecosystem.
• Full-Stack Understanding: Basic knowledge of frontend and backend technologies to better understand testing scenarios and identify integration issues.
• Additional Testing Experience: Experience with API, performance, security, or integration testing.
• Service Management Understanding: Exposure to Service Management platforms, workflows, or enterprise service operations.

We are seeking a motivated and detail-oriented QA Automation Engineer to play an important role in ensuring the quality and reliability of our solutions within the Intelligence value stream in Service Management.

The Intelligence value stream focuses on building smart, scalable capabilities that improve service operations, user experience, and decision-making across the enterprise. As part of this team, you will contribute to the quality of modern enterprise solutions while also exploring how AI can support better, faster, and more efficient testing.

As a key member of the quality assurance team, you will work closely with engineers, product managers, and stakeholders to support the successful delivery of high-quality software products. You will help design and execute test strategies, identify defects, improve automation coverage, and contribute to practical AI-enhanced testing approaches.