We are a global technology-driven organization committed to delivering innovative digital solutions at scale. Our teams leverage modern engineering practices, cloud technologies, automation, and artificial intelligence to create high-quality products and exceptional customer experiences. We foster a culture of collaboration, continuous learning, and innovation where talented professionals can make a significant impact.

Define and execute the Quality Engineering strategy, governance framework, and quality metrics across programs.

Lead automation-first testing initiatives across web, mobile, API, enterprise, and AI-powered applications.

Drive AI testing programs including GenAI validation, prompt testing, hallucination detection, bias assessment, and RAG validation.

Build and scale modern test automation frameworks using Playwright and other industry-leading tools.

Collaborate with Product, Engineering, Architecture, DevOps, Security, and business stakeholders to ensure quality throughout the development lifecycle.

Lead, mentor, and develop high-performing QA and Quality Engineering teams.

Champion Shift-Left, Shift-Right, DevOps, and Continuous Testing practices.

Drive quality transformation initiatives focused on defect prevention, automation, and operational excellence.

Establish and monitor KPIs to improve release quality, automation coverage, and testing efficiency.

Support enterprise-wide adoption of AI-driven quality engineering practices.

Educational Qualification

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.

Experience

14+ years of experience in Quality Assurance, Quality Engineering, and Test Automation.

Demonstrated experience leading enterprise-scale testing, automation, and quality transformation programs.

Proven track record of managing global and distributed QA teams.

Technical Skills

Test Automation: Playwright (preferred), Selenium, Cypress, WebdriverIO, Appium, Robot Framework, TestNG, JUnit, Cucumber.

API Testing: Postman, Rest Assured, Karate, Swagger/OpenAPI, REST, GraphQL, SOAP.

Performance Testing: LoadRunner, k6.

Mobile Testing: Appium, BrowserStack.

CI/CD & DevOps: Azure DevOps, Jenkins, GitLab CI/CD.

Cloud Platforms: Azure, AWS, Google Cloud Platform.

Test Management: Jira, Zephyr, Xray, qTest, TestRail, Confluence.

Security Testing Awareness: OWASP, SAST, DAST, API Security.

AI Testing Expertise

GenAI and LLM testing methodologies.

Prompt engineering validation and evaluation.

RAG testing and AI governance frameworks.

Experience with tools such as LangSmith, DeepEval, Ragas, Promptfoo, OpenAI Evals, TruLens, and MLflow.

Knowledge of model performance evaluation, fairness testing, explainability, and compliance validation.

Leadership Skills

Strong stakeholder management and executive communication abilities.

Proven leadership, coaching, and talent development experience.

Strategic mindset with strong analytical and decision-making capabilities.

Ability to influence senior leaders and drive organizational change.

Opportunity to lead enterprise-wide Quality Engineering and AI Testing transformation.

Exposure to cutting-edge AI, automation, and cloud technologies.

Leadership role with significant impact on product quality and engineering excellence.

Collaborative and innovation-driven work environment.

Opportunities for professional growth, leadership development, and global stakeholder engagement.

Competitive compensation and benefits package.

Flexible and hybrid work model enabling work-life balance.