QA Technology Delivery Lead – Healthcare

Responsibilities

• Write, review, and optimize automation code hands-on in Java (preferred) and/or C#/Python.
• Apply solid Object-Oriented Programming (OOP) and Design Pattern principles to keep automation frameworks maintainable and scalable.
• Balance hands-on technical contribution (coding, framework building, utility creation, debugging) with team leadership and delivery accountability.
• Own and evolve the team's automation frameworks using MCP for UI, API, Integration, and End-to-End testing using tools such as Selenium (Java-based preferred), Playwright, Appium , WebdriverIO, REST Assured, TestNG/Junit, Maven, etc.
• Integrate automated quality gates into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
• Troubleshoot flaky tests, framework bottlenecks, and environment issues, driving root-cause fixes rather than workarounds.
• Lead, mentor, and grow a team of QA Engineers, Automation Engineers, and AI Testing specialists.
• Set technical direction for the team's automation frameworks, testing standards, and AI testing practices.
• Conduct hands-on code reviews, pair programming, and technical coaching to raise the team's engineering bar.
• Own sprint-level and release-level quality planning, test strategy, and risk-based test prioritization.
• Act as the primary technical escalation point for quality issues, blockers, and release risk decisions.
• Represent QA in architecture discussions, sprint planning, and release readiness reviews.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (Master's a plus).
• 12+ years of experience in Software Engineering, QA Engineering, or Test Automation, including 2+ years in a technical leadership role.
• Strong hands-on programming skills in Java (preferred) and/or C#.
• Solid understanding of OOP, Design Patterns, and general software architecture principles.
• Strong Experience with Testing on cloud platforms: AWS, Azure, and/or GCP.
• Practical experience testing or validating AI Agents, LLMs, or AI/ML-driven features.
• Hands-on experience with automation tools such as Selenium, Playwright, WebdriverIO, REST Assured, Postman, TestNG/JUnit, and Maven.
• Experience with CI/CD tools (Jenkins, GitHub Actions, or Azure DevOps) and Git-based workflows.
• Demonstrated ability to lead and mentor a team while remaining hands-on with code and technical problem-solving.
• Strong communication skills, with experience presenting quality status and risk to engineering and product leadership.