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QA Analyst

A sensitive national security programme needs a rigorous QA analyst to turn complex requirements into reliable, automated test coverage. This role combines deep test analysis, hands-on automation, and close collaboration with developers and business analysts.

CONTEXT

Our client, a major player in its sector, is modernising a high-stakes vehicle-recognition platform used to support operational decision-making at national scale. The system must process large volumes of data, integrate with critical infrastructure, and remain dependable under demanding conditions. Behind the technology is a public-security mission where precision, traceability, and trust are non-negotiable. The programme is seeking an experienced analyst-tester to bring structure and confidence to the quality strategy. The role is not limited to executing scripts; it requires understanding business risks, asking sharp questions, and designing test coverage that protects a secure and efficient service. The team works in a complex ecosystem of applications, interfaces, and operational constraints, so curiosity and analytical clarity matter as much as technical testing skill.

ACTIVITIES

  • Identify, define, and plan functional, technical, acceptance, and regression tests for the vehicle-recognition platform.
  • Create detailed test plans, scenarios, cases, and data sets based on business and technical requirements.
  • Execute manual and automated tests, analyse results, and document findings with clear evidence and severity levels.
  • Maintain and evolve automated test suites to improve speed, repeatability, and coverage.
  • Collaborate closely with developers, business analysts, architects, and operational stakeholders to resolve defects and clarify expected behaviour.
  • Participate in risk reviews, requirement workshops, and quality gates throughout the delivery lifecycle.
  • Track defects through their lifecycle and contribute to continuous improvement of testing practices.

EXPECTED ACHIEVEMENTS

  • Establish a reliable test strategy that gives stakeholders confidence in each release of the platform.
  • Reduce production risks by detecting defects early and ensuring critical journeys are covered by automated regression tests.
  • Improve documentation and traceability from requirements to test evidence.
  • Strengthen collaboration between quality, development, and business teams.
  • Contribute to the secure and efficient operation of a system where reliability directly supports public safety.

ENVIRONMENT

  • Manual and automated testing, test management tools, defect tracking, API testing, SQL, CI/CD integration, and regression suites.
  • Agile delivery with close collaboration across business analysis, development, and operations.
  • A structured public-sector context requiring rigour, confidentiality, clear documentation, and strong analytical discipline.