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Director, QA Engineering

Director, QA Engineering

OvalEdgevadodara, gujarat, in
7 days ago
Job description

About OvalEdge

OvalEdge is a leading Data Governance and Data Catalog platform empowering organizations to discover, manage, and democratize their data with confidence. Our mission is to make data governance simple, collaborative, and impactful — enabling enterprises to unlock actual business value from their data.

As we continue to scale, we are looking for a visionary Director, QA Engineering to lead our Quality function and ensure that every OvalEdge release stands for excellence, reliability, and trust.

About the Role

OvalEdge is seeking a Director of Quality Assurance to lead the next phase of our product quality transformation. Our platform powers enterprise-grade Data Governance , connecting to a wide variety of data sources and delivering deep metadata, lineage, and discovery capabilities.

As Director of QA, you’ll take ownership of a complex, high-variability testing landscape — where every customer deployment can look different, with unique data connectors, lineage scenarios, and environment dependencies. You’ll drive quality from the ground up : modernizing automation, stabilizing releases, and inspiring engineering excellence across the organization.

If you thrive on solving tough problems, love bringing structure to chaos, and want to make a measurable impact on product reliability and customer trust — this is the role for you.

Key Responsibilities

1. QA Strategy & Leadership

  • Define and execute a transformative QA vision and roadmap aligned with OvalEdge’s product and customer goals.
  • Build, mentor, and lead a world-class QA team across functional, automation, and performance testing disciplines.
  • Instil a “Quality-first, Engineering-owned” mindset across product and development teams.
  • Collaborate closely with Engineering leadership to address technical debt, weak unit testing practices, and process gaps that affect product stability.
  • Champion initiatives that make quality measurable, visible, and repeatable across all releases.

2. Quality Engineering & Automation

  • Architect and evolve automation frameworks for UI, API, and backend testing using modern tools (e.g., Playwright, Selenium, RestAssured, Cypress).
  • Develop a progressive automation roadmap , prioritizing high-impact regression areas and data connector validation.
  • Partner with DevOps to integrate quality gates into CI / CD pipelines, enabling continuous testing and faster feedback loops.
  • Introduce innovative solutions for data lineage testing , ensuring accuracy across complex metadata relationships and customer environments.
  • Ensure automation and manual testing strategies adapt to varied customer deployments, on-premise or cloud.

    • 3. Process Excellence & Release Quality

  • Establish standardized QA processes , entry / exit criteria, and release readiness checklists across all product lines.
  • Drive release quality ownership by collaborating with Engineering, Product, and DevOps to identify and resolve high-risk areas early.
  • Implement root cause analysis (RCA) for recurring defects and embed preventive measures upstream.
  • Improve unit testing coverage, code review rigor , and developer accountability to minimize post-release defects.
  • Create predictable, data-driven release cycles with clear go / no-go gates.

    • 4. Quality Analytics & Continuous Improvement

  • Define and track quality KPIs (e.g., defect leakage, automation coverage, test execution velocity, release stability).
  • Build real-time dashboards that provide visibility into product health and release readiness.
  • Leverage insights from production issues and customer-reported defects to continuously refine test coverage and automation.
  • Use metrics to drive conversations, set priorities, and demonstrate progress in quality maturity.

    • 5. Cross-functional Collaboration & Customer Focus

  • Work closely with Engineering, Product Management, and Customer Success to proactively identify quality risks and incorporate customer feedback into QA strategy.
  • Partner with implementation teams to validate configurations, connectors, and upgrades in customer environments.
  • Lead initiatives to replicate or simulate customer environments for testing complex lineage and integration scenarios.
  • Serve as the voice of quality in customer conversations, ensuring release confidence and customer trust.

    • Requirements

  • Experience : 12+ years in Software Quality Assurance, with at least 4+ years in a QA leadership role (managing managers and teams across multiple QA disciplines).
  • Domain Knowledge : Prior experience with Data Governance, Data Integration, or Metadata Management platforms is highly preferred.

    • Technical Depth :

  • Proven experience designing and scaling automation frameworks for UI, API, and backend systems.
  • Hands-on understanding of test automation tools (Playwright, Selenium, RestAssured, Cypress, Postman) and scripting languages (Python, Java, or JavaScript).
  • Familiarity with data validation , ETL testing, and working with SQL and NoSQL data sources.
  • DevOps & CI / CD Integration : Strong knowledge of CI / CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.) and embedding automated quality gates .
  • Process Leadership : Demonstrated success driving QA process transformation in complex or legacy product environments.
  • Analytical Skills : Ability to define, measure, and act on data-driven quality metrics to improve product and process outcomes.
  • Problem Solving : Creative, out-of-the-box thinker capable of tackling challenges like environment variability , data lineage testing , and connector-level validation .
  • Collaboration : Strong cross-functional communicator who can partner effectively with Product, Engineering, DevOps, and Customer teams.
  • Mindset : Strategic yet hands-on; capable of balancing long-term vision with immediate stabilization needs.
  • Education : Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree or equivalent technical leadership experience is a plus.

    • What Success Looks Like

  • Dramatic reduction in defect leakage and regression issues.
  • Automation integrated into CI / CD with measurable coverage gains.
  • Stabilized release cycles and improved customer confidence.
  • Repeatable frameworks for validating connectors, lineage, and data quality across diverse deployments.
  • A high-performing QA organization known for creativity, rigor, and impact.

    • Why Join OvalEdge

  • Join a rapidly growing Data Governance leader impacting global enterprises.
  • Shape and scale the QA vision in a high-impact leadership role.
  • Work with passionate teams that value collaboration, innovation, and ownership .
  • A culture that celebrates learning, transparency, and quality at every level.
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