Lead Quality Assurance Engineer

Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabling faster, better, connected insights.

Konovo provides healthcare organisations with access to over 2 million healthcare professionals and patients, the largest network of its kind globally. With a workforce of over 300 employees across 5 countries: India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States, we collaborate to support some of the most prominent names in healthcare. Our customers include over 300 global pharmaceutical companies, medical device manufacturers, research agencies, and consultancy firms.

We are an established but fast-growing business- powered by innovation, data, and technology. Konovo’s capabilities are delivered through our cloud-based platform, enabling customers to collect data from healthcare professionals and transform it into actionable insights using cutting-edge AI in conjunction with proven market research tools and techniques.

Our Whitefield-based India team is our innovation hub and foundation for scaling product and technology globally. It is also our center of excellence for building scalable platforms, AI-enabled capabilities, and next‑generation healthcare technology. As a Lead Quality Assurance Engineer, you will define how quality is engineered across our platform, not just how software is tested. This is a hands-on role for someone who believes quality is built into engineering from day one.

If you are highly technical, deeply execution-focused, and passionate about scaling quality through automation, observability, and AI, Lead Quality Assurance Engineer is for you.

• 8+ years in software testing/quality engineering, including test automation and/or test architecture, in product environments.
• Proven QA leadership across multiple engineering teams, with strong ownership and clear cross-functional communication.
• Hands-on depth in UI/API automation, integration & database testing, performance testing, and building test frameworks.
• Strong CI/CD quality engineering and observability exposure (e.g., Jenkins/GitHub Actions, Grafana) plus cloud familiarity (AWS/Azure/GCP).
• Proficient in Java/Python/JavaScript (or similar) and modern automation tooling (e.g., Playwright/Cypress, K6, JMeter, Agentic AI, MCP servers).
• Mentor and grow engineers through clear feedback and hands-on support.
• Operate effectively in ambiguous, global, fast-moving environments.
• Apply and experiment with AI-enhanced engineering workflows with strong judgment and responsibility.

Why Join Konovo?

• Be part of a mission-driven organisation that is empowering life science researchers and data scientists with the broadest ecosystem of healthcare audiences and an intelligent, AI-enabled platform — so insights aren't just collected, they're connected.
• Join a fast-growing global team with opportunities for professional growth and advancement.
• Build technology that enables faster, smarter healthcare research and improves global patient outcomes.
• Enjoy a collaborative and hybrid work environment that fosters innovation and flexibility.
• Experience a workplace that puts employees first, offering a workplace designed for growth, well-being, and balance.
• Become a part of an organisation that prioritizes your well-being with comprehensive benefits, including group medical coverage, accident insurance, and a robust leave policy. Our employee-centric policies ensure a rewarding and fulfilling work experience.
• Make a real-world impact by helping healthcare organisations innovate faster.

If you’re eager to build a meaningful career in healthcare market research and you’re smart, nice, and driven to make an impact we’d love to hear from you!

Apply now to be part of our journey.

• Define and scale quality engineering standards, quality gates, and release-readiness frameworks across multiple squads.
• Architect end-to-end test strategy covering UI, API, database, integration, security, and performance testing.
• Drive shift-left quality practices across the SDLC; partner with developers to embed quality in PRs and release cycles.
• Implement risk-based testing and prioritization to uncover hidden gaps early and focus effort on the highest-impact areas.
• Design, build, and scale enterprise automation frameworks; expand end-to-end automation for critical business workflows.
• Reduce manual regression through intelligent automation; improve stability, minimize flaky tests, and strengthen CI/CD quality signals.
• Partner with Konovo’s global LLM Innovative Technology Team (LITE) team to integrate AI into QE (test generation, defect classification, automated RCA, trend prediction, flaky detection, release health dashboards).
• Define performance benchmarks, identify bottlenecks across services/APIs/data flows, and drive scalability, reliability, and response-time improvements.
• Establish continuous monitoring and observability standards; track pipeline health, failures, and release stability in real time.
• Own end-to-end QA delivery across global teams -drive risks/blockers to closure and provide executive-ready quality metrics, trends, and recommendations.