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Posted 2 Sep 2026

Quality Engineering - Automation Lead

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Employment
Full time
Team
Software Engineering
Posted
2 Sep 2026

About the role

Responsibilities:

  • Lead end-to-end QA delivery across projects or releases, ensuring quality objectives are met within timelines.
  • Drive a shift-left approach by involving QA early in requirements, design, and planning discussions to prevent defects sooner.
  • Prepare test estimates, test plans, and QA timelines based on scope, complexity, dependencies, and delivery commitments.
  • Manage the team on a day-to-day basis, including task allocation, progress tracking, blocker resolution, and priority alignment.
  • Oversee test design and execution, ensuring adequate functional, integration, regression, and end-to-end test coverage.
  • Lead defect management and triage, working closely with developers and stakeholders to prioritise, track, and resolve issues effectively.
  • Provide clear QA status reporting, risk visibility, and release readiness updates to stakeholders, while continuously improving testing processes and quality practices.
  • Define and execute a pragmatic in-sprint automation approach aligned to release priorities and delivery timelines.
  • Build, enhance, and maintain automated test suites using Python and Robot Framework, with hands-on delivery using Playwright and/or Selenium. Support execution across platforms (including tools such as Perfecto where applicable).
  • Integrate automation into Azure DevOps pipelines to enable fast feedback, improve release confidence, and reduce cycle time.
  • Drive adoption of quality gates, reporting, and repeatable test execution.
  • Design and implement automated API and service tests in Python, including REST and gRPC validation.
  • Partner with engineering teams to improve service testability and coverage.
  • Establish consistent standards for test design, traceability, defect triage, and execution reporting.
  • Provide clear, actionable insights on test results, risk, and release readiness.
  • Work closely with application teams, platform partners, and QA colleagues to align on automation goals, unblock delivery issues, and coach teams toward sustainable quality practices.
  • Identify bottlenecks and failure patterns, and drive improvements in automation reliability, maintainability, execution time, and environment-related readiness.
  • Collaborates with delivery teams, application teams, platform partners, and QA colleagues to define automation goals, unblock delivery issues, and drive quality outcomes.
  • Works closely with developers and stakeholders for defect management, test coverage, and release readiness.
  • Partners with engineering teams to improve service testability and coverage, especially for API and gRPC validation.
  • Engages with business analysts, product owners, and project managers to ensure QA involvement early in the project lifecycle.
  • Enterprise-wide impact across the DI& A portfolio.
  • Responsible for QA automation strategy, delivery, and continuous improvement across multiple projects and releases.
  • Directly manages QA team members and oversees their daily activities, task allocation, and performance.
  • Influences quality practices and standards across delivery teams and platform partners.
  • Measures include delivery throughput, manual testing reduction, release stability, and quality outcomes.


Requirements:

  • 7+ years of experience in QA and 4+ years as a QA lead across complex enterprise delivery portfolios.
  • Hands-on expertise with Python, Robot Framework, Playwright and/or Selenium for automation.
  • Experience in building and maintaining scalable automated test suites.
  • Strong knowledge of CI/CD and integrating automated testing into Azure DevOps pipelines.
  • Ability to implement lightweight governance (standards, controls, reporting) to improve quality consistency.
  • Excellent communication skills with both technical and non-technical partners; able to influence without authority.
  • Proactive in identifying risks, inefficiencies, and quality gaps, and taking ownership to resolve them.


Good-to-have skills:

  • Service/API testing capability: Exposure to Java-based gRPC tooling is a plus.
  • AI-driven development.
  • Capital Markets domain experience.

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