Job Description

Roles & Responsibilities

About Siemens We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Position Overview Brightly continues to grow and needs forward-thinking QA leaders ready to embrace the future of AI-powered Quality Assurance ! As a Test Engineering Team Lead , you will lead a high-performing team of QA engineers, driving Gen AI-powered automation strategies , mentoring talent, and embedding intelligent quality practices across the product lifecycle. This is a phenomenal opportunity to combine leadership, technical depth, and innovation to transform how we deliver quality at scale.

Key Responsibilities:

• Lead and Mentor: Direct, evaluate, and develop a team of QA engineers, guiding them in adopting AI-first testing strategies and advanced automation techniques.
• Drive AI-Powered QA Transformation: Implement Gen AI-driven test case generation , intelligent defect prediction, and self-healing automation frameworks.
• Strategic Decision-Making: Apply AI-powered analytics for risk assessment, defect clustering, and predictive quality insights to differentiate immediate needs vs long-term solutions.
• Career Development: Create forward-thinking career development programs focused on AI-assisted QA tools , intelligent automation, and continuous learning.
• Collaborate Globally: Work with senior engineers, product managers, and scrum masters in an agile environment, advocating for AI-supported shift-left testing .
• Technical Leadership: Contribute to the selection, validation, and implementation of next-gen QA tools , including platforms that integrate Generative AI for automation.
• CI/CD Integration: Implement intelligent quality gates in CI/CD pipelines for automated risk assessment and faster releases.
• Continuous Improvement: Stay current with emerging trends in AI-driven QA , automation frameworks, and cloud-native testing strategies.

Desired Candidate Profile

• Bachelor s in Computer Science or related discipline.
• 8 11 years of experience in QA/testing, with 2+ years leading technical teams .
• Proven ability to mentor teams and drive AI-first QA adoption .
• Strong expertise in automation frameworks (Selenium, Cypress, WebDriver I/O) and programming languages (Java/C#).
• Hands-on experience with CI/CD tools (Jenkins, GitLab CI) and integrating AI-powered quality gates .
• Excellent analytical and problem-solving skills.
• Solid understanding of Agile methodologies and cloud-native architectures.
• Bonus Points: Experience with AI-assisted automation tools or platforms leveraging Generative AI for script generation and defect prediction.
• Exposure to cloud platforms (AWS, GCP) and container orchestration (Docker, Kubernetes).
• Certifications in QA, automation, or AI/ML fundamentals.
• Open-source contributions or participation in QA/AI communities.