Overview
We are modernizing a legacy application by transitioning it to modern technologies and migrating it to the cloud. This is a high-impact initiative requiring strong QA leadership to ensure a smooth, reliable transformation.
Responsibilities
- Collaborate with cross-functional teams and clients to define optimal quality strategies and communicate QA plans to technical and business stakeholders.
- Adapt quickly to customer environments and delivery models.
- Promote and advocate QA approaches, tools, and methodologies within the organization.
- Provide accurate estimations and effectively decompose testing tasks.
- Prioritize testing based on business impact and technical risk.
- Lead and mentor a distributed QA team across multiple time zones.
- Define and implement end-to-end testing strategies, including during pre-sales and solutioning phases.
- Evaluate and recommend testing tools and automation frameworks.
- Communicate test results, quality metrics, and improvement plans to management and clients.
- Maintain comprehensive and up-to-date QA documentation.
- Design and maintain test cases and automated test scripts.
- Manage defect lifecycle and reporting using standard tracking systems.
- Continuously improve QA processes, tools, and coverage.
Skills
Must have
- 5+ years in QA Automation and 2+ years in a Lead role.
- Proven experience building automation frameworks from scratch.
- Strong proficiency in Java, Python, or Golang.
- Solid understanding of QA methodologies and SDLC.
- Experience leading distributed teams.
- Expertise in both manual and automated testing.
- Hands-on with API testing (SOAP/REST).
- Familiarity with legacy systems and modernization challenges.
- Experience with unit testing frameworks.
- Excellent communication and stakeholder management skills.
- Passion for continuous learning and improvement.
Nice to have
- Exposure to AI-powered testing and defect analytics tools.
- Experience defining QA strategies for modernization or transformation projects.
- Understanding of predictive quality metrics and risk-based testing.