Lead QA Automation Engineer

Posted 21 hours 26 minutes ago by Luxoft

Permanent
Full Time
Other
Not Specified, United Kingdom
Job Description
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.