Principal Test Engineer

About the role

Serve as a strategic quality leader, define long-term testing vision, and establish organizational quality standards. Drive innovation and influence architectural decisions. Lead the practical adoption and scaling of AI assisted testing techniques, including AI generated test cases, intelligent test selection, and failure analysis. Identify where AI meaningfully improves speed, coverage, and signal quality, and where human judgment remains essential. Define guardrails and best practices for responsible, explainable AI usage in QA workflows.

Responsibilities

• Lead initiatives to improve scalability and maintainability of test frameworks
• Leverage AI-powered testing tools to automate test case generation, maintain self-healing automation scripts, and perform predictive analysis to identify high-risk areas in the code.
• Define organizational quality standards and measurable attributes
• Lead innovation in testing strategies and automation practices
• Collaborate with senior leadership on roadmaps and best practices
• Champion early QA involvement and drive quality culture
• Define and monitor quality KPIs across projects
• Conduct risk-based testing and prioritize efforts based on business impact
• Represent QA in cross-functional planning and architecture discussions

Qualifications

• Bachelor's degree in CS or related field
• 10+ years of QA/testing experience
• Proven leadership in quality initiatives and strategic planning
• Experienced in AI-powered quality assurance methods like automated test creation and visual regression testing to accelerate and enhance release accuracy.

Skills

Technical Focus

Expertise in automation frameworks, CI/CD platforms, multiple programming languages, and emerging testing technologies.

Required Skills

• Selenium WebDriver
• Cucumber/Gherkin
• JUnit
• TestNG
• Maven
• Gradle
• Jenkins
• Git
• Java
• SQL
• Postman
• REST Assured

Desired Skills

• Selenium Grid
• Cypress
• Playwright
• Python
• JavaScript
• Ruby
• GitLab CI
• Azure DevOps
• GitHub
• AWS
• Azure
• GCP
• Docker
• Kubernetes

Working Conditions

Normal office environment.