Lead Quality Assurance Engineer

Vista Equity Partners is a leading global investment firm focused exclusively on enterprise software, data, and technology-enabled businesses. With over $100B in assets under management and a portfolio of 90+ software product companies worldwide, Vista accelerates growth through operational excellence, shared expertise, and long-term partnership. In India, Vista’s presence continues to expand with 45+ portfolio companies employing more than 17,000 professionals across technology, product, customer success, and operations — reinforcing India’s strategic role as a hub of innovation and talent within the Vista ecosystem.

Through its Agentic AI Factory, Vista is embedding Generative AI across its global portfolio — enabling companies to integrate intelligent, responsible AI into products, operations, and decision-making. This initiative is strengthened through portfolio-wide learning programs, leadership workshops, and AI hackathons that foster innovation, build fluency, and accelerate practical AI adoption across teams.

Amtech is a leading provider of enterprise software solutions for the packaging, printing, and manufacturing industries. Our integrated systems streamline order management, production planning, scheduling, inventory, and business analytics — empowering customers to drive efficiency, reduce costs, and improve operational performance. With a strong commitment to innovation and customer success, Amtech delivers reliable technology backed by deep industry expertise.

With Vista’s investment and strategic guidance, we combine the agility of a growing technology organization with the scale, stability, and career mobility of a global software ecosystem.

Amtech is seeking a hands-on Lead QA Engineer to define the Quality Engineering strategy and technical direction for one or more teams or a major product area.

The Lead QA Engineer will establish standards for manual testing, Playwright automation, API and integration testing, performance engineering, CI/CD quality gates, AI-assisted testing, and release governance. This role is accountable for quality outcomes across releases and cross-team initiatives while remaining actively involved in technical design, reviews, and complex problem resolution.

• Define the Quality Engineering strategy, risk model, and release-readiness standards for assigned teams or product areas.
• Establish coverage expectations across manual, automation, API, database, integration, performance, resilience, and end-to-end testing.
• Lead requirements, architecture, design, and release-quality reviews.
• Provide evidence-based release recommendations and communicate residual risks to technical and business stakeholders.

• Define and govern Playwright automation architecture using JavaScript or TypeScript.
• Establish reusable framework standards, coding practices, review expectations, and reporting capabilities.
• Define CI/CD quality gates for pull requests, deployments, regression runs, and releases.
• Improve automation stability, maintainability, execution efficiency, and coverage across teams.

• Define the strategy for load, stress, spike, endurance, scalability, capacity, and resilience testing.
• Establish realistic workload models and measurable performance thresholds.
• Guide the use of JMeter, k6, Gatling, Locust, or equivalent tools.
• Partner with Engineering, DevOps, Architecture, and Database teams to identify bottlenecks and capacity risks.

• Lead root-cause analysis for production defects, recurring quality issues, and automation instability.
• Monitor defect leakage, automation effectiveness, performance trends, and release confidence.
• Establish responsible AI-assisted testing practices and validation approaches for AI-enabled features.
• Mentor Quality Engineers, lead technical reviews, and promote consistent testing practices across teams.
• Represent Quality Engineering in architecture, design-governance, and release forums.

• Bachelor's degree in computer science, Engineering, or a related discipline, or equivalent experience.
• Typically, 8–11 years of progressive Quality Engineering experience, including technical leadership.
• Expert knowledge of manual, exploratory, API, database, integration, regression, and end-to-end testing.
• Expert hands-on experience with Playwright and JavaScript or TypeScript.
• Proven experience defining and scaling automation frameworks across teams.
• Strong experience with REST APIs, SQL, distributed systems, Git, CI/CD, and automated quality gates.
• Hands-on experience with load and performance-testing tools and workload modeling.
• Familiarity with cloud platforms, containers, observability, and application monitoring.
• Strong understanding of Agile, Scrum, defect leakage, RCA, release governance, and quality metrics.
• Experience defining AI-assisted testing practices and testing AI-enabled capabilities.
• Strong technical leadership, mentoring, stakeholder influence, and decision-making skills.