Director, Quality Assurance
Pune, IndiaFull-TimeDirectorQA / Testing
Our Ideal Candidate
- Quality Visionary. You define quality not just in terms of bugs found, but in terms of trust, user experience, and measurable business value.
- AI Fluent. You understand how to test and certify AI-powered platforms, including LLM-based systems, generative components, and agentic workflows.
- Automation Leader. You drive large-scale automation initiatives, leveraging AI-assisted testing, self-healing frameworks, and intelligent validation pipelines.
- Strategic Collaborator. You influence design and product direction through data-driven insights, guiding cross-functional teams to release with confidence.
- Mentor and Builder. You attract, coach, and develop top QA talent across geographies — fostering technical excellence, curiosity, and innovation.
Key Responsibilities
- Own end-to-end product quality across multiple product lines and global engineering teams (US, India, Romania).
- Design and implement a modern QA strategy for AI-driven platforms. Lead the development of AI-assisted test automation frameworks, leveraging machine learning for element detection, autonomous test generation, and self-healing scripts.
- Establish AI-powered testing pipelines integrated into CI/CD workflows, using LLMs for test case creation, synthetic data generation, and intelligent anomaly detection.
- Collaborate with product engineering teams to certify the platform, ensuring reliability and fairness.
- Oversee day-to-day operations of manual, automation, and AI validation teams, ensuring consistent execution, visibility, and velocity.
- Define and track key quality metrics — including defect density, regression stability, release confidence, and AI validation benchmarks
- Drive innovation in generative test design, using LLMs and AI tools to expand test coverage, identify defect patterns, and accelerate regression validation.
- Maintain a hands-on technical presence (~30% of time) while spending 70% on leadership, mentorship, and execution oversight.
- Oversee release candidate validation, sign-off, and deployment certification for enterprise-scale releases.
- Continuously evaluate emerging AI testing and automation tools (e.g., testRigor, Testsigma, ACCELQ, Tricentis Testim, Mabl, Functionize, Rainforest QA) to ensure the organization remains at the forefront of intelligent quality engineering.
- Lead and mentor QA managers, SDETs, and test engineers globally — building a culture of collaboration, ownership, and excellence in delivery.
About You
- 14+ years of experience in software quality assurance, with at least 7 years in a leadership or management role.
- Deep expertise in test automation using Java, Selenium WebDriver, TestNG/JUnit, REST-Assured, JMeter, Maven/Gradle, Jenkins, and MySQL.
- Proven experience designing and implementing test frameworks for complex, distributed, cloud-based systems.
- Strong understanding of AI testing principles — including data quality validation, prompt evaluation and testing AI platforms.
- Hands-on experience with AI-driven QA platforms such as testRigor, Testsigma, ACCELQ, Tricentis Testim, Mabl, Functionize, or Rainforest QA, with the ability to evaluate, adopt, and operationalize them at scale.
- Familiarity with AI-assisted test automation, self-healing frameworks, and generative test design using LLMs for scenario generation and coverage expansion.
- Strong knowledge of SDLC, QA methodologies, and agile/scrum development; SAFe experience is a plus.
- Experience with test management tools such as JIRA, BrowserStack and TestRail.
- Excellent communication, organizational, and leadership skills, with the ability to influence across product, engineering, and executive teams.
- Bachelor’s degree in Computer Science, Engineering, or related discipline.
