QA Automation Lead

13 hours ago


Goregaon Mumbai Maharashtra, India sportzinteractive Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About the Role :

As our QA & Automation Lead, you will be at the forefront of shaping and scaling our quality engineering function. Reporting directly to the CDO, you'll take ownership of a talented team of 8–10 QA engineers across delivery units and responsible for maturing and scaling our quality assurance practices his is a strategic role that requires a blend of deep technical expertise, strong leadership, and a forward-thinking approach to quality.

A key mandate will be to lead the organization towards a highly automated, scalable, and efficient quality ecosystem that ensures zero-defect, high-performance releases. You'll play a hands-on role in designing and implementing robust automation frameworks, while also mentoring and upskilling the QA team. Beyond tools and processes, you'll champion a culture of quality-first thinking across engineering, product, and delivery teams — ensuring our sports and gaming products consistently deliver flawless, high-impact user experiences.

Key Responsibilities

Leadership & Strategy:

  • Lead, mentor, and grow a team of 8-10 QA engineers, setting clear goals and conducting performance reviews.
  • Evolve and execute a comprehensive QA vision and automation strategy that aligns with our fast paced product roadmap.
  • Define and track key quality metrics and KRAs, providing regular reports and insights to senior leadership (CTO/CDO).
  • Champion quality assurance best practices within our Agile/Scrum development process, ensuring quality is a shared responsibility.

Automation & Technical Excellence:

  • Architect and enhance our test automation frameworks across Web, Mobile, and API platforms using modern tools and technologies.
  • Remain hands-on by contributing to the automation codebase, performing code reviews, and tackling complex testing challenges to lead by example.
  • Drive the integration of automated testing into our CI/CD pipelines using tools like Jenkins and GitHub to enable robust continuous testing.
  • Oversee the development and maintenance of a comprehensive regression suite, optimizing for coverage and execution time.

Process & Quality Assurance:

  • Own all QA documentation, including Test Strategies, Test Plans, and detailed test cases within tools like TestRail / JIRA / AIO
  • Collaborate closely with customers, delivery managers, developers, and DevOps to ensure quality is embedded throughout the entire software development lifecycle.
  • Manage defect tracking and triage processes using Jira, ensuring timely resolution of issues.
  • Advocate for the best tools and technologies to improve team efficiency and product quality.
  • Ensure E2E traceability with close collaboration with Product Owner & Delivery Managers.

Required Skills & Experience:

Experience:

  • A total of 10+ years of progressive experience in Software Quality Assurance.
  • A minimum of 3+ years in a leadership capacity, managing and mentoring QA engineers.
  • Proven experience working directly with a variety of clients (small, medium, and large-scale).
  • Experience in the sports, media, or gaming domain is a significant plus.

Technical Skills:

  • Programming: Strong proficiency in one or more languages such as Java, Python, or JavaScript/TypeScript.
  • Automation Frameworks: Extensive hands-on experience with automation tools like Selenium, Cypress, Playwright, or Appium.
  • API Testing: Expertise in API automation and manual testing using tools like Postman and libraries like REST Assured.
  • CI/CD: Solid understanding of CI/CD principles and practical experience with tools like Jenkins or GitHub
  • Test Management: Proficiency with tools like Jira for bug tracking and TestRail / AIO for test case management.

Methodologies & Soft Skills:

  • Deep expertise in Agile and Scrum methodologies.
  • Exceptional leadership, coaching, and team-building skills.
  • Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • A strategic mindset with strong analytical and problem-solving capabilities.

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