Job ID: 2026-17476
Overview
We are building an AI-Native Engineering team and are looking for Quality Engineers who use modern AI tools as a core part of how they design, execute, and automate testing.
Working as part of a team across multiple projects simultaneously, you will provide quality assurance support to designated software, organise and track incident response activities, and simplify audit and compliance work.
You will collaborate closely with product managers, architects, and developers across the full testing spectrum — database, unit, API, security, performance and UAT — to ensure that code is production-ready before it ships.
The ideal candidate is detail-oriented, automation-minded, and proactive in adopting tools that improve test coverage and speed. If this describes you, we would like to hear from you.
Responsibilities
Provide quality assurance support to designated software across multiple concurrent projects
Perform feature acceptance, regression, and UI testing
Design, maintain, and execute test cases across database, unit, API, security, and UAT testing
Build and maintain test automation across these testing layers
Analyse design documentation and production requirements to define effective test strategies
Create and maintain comprehensive test documentation
Organise and track incident response activities
Support audit and compliance activities, simplifying processes where possible
Participate actively in the release process and ensure code is production-ready before deployment
Collaborate closely with product managers, architects, and developers throughout the SDLC
AI-Native Quality Engineering.
AI-Native Quality Engineering:
Apply AI tools (e.g., Claude, GitHub Copilot, Cursor) to generate test cases, test data, and documentation
Use prompt engineering techniques to accelerate test design and edge-case identification
Build AI-assisted automation across database, unit, API, security, and UAT testing
Use AI tools to identify defects, vulnerabilities, and performance issues earlier in the cycle
Critically evaluate AI-generated test artefacts and validate their correctness before use
Contribute to internal AI-assisted testing frameworks and reusable patterns
Qualifications
Experience:
Minimum of 2 years proven experience in a similar Quality Engineering or Software Testing role
Demonstrated experience in test case design, maintenance, and execution
Good theoretical knowledge of QA and software testing principles and the software development process
Specialisation in Computer Science or Software Engineering
Intermediate English, both written and oral.
Technical Skills:
Experience with API testing
Experience with test automation
Familiarity with testing across multiple layers (database, unit, API, security, UAT)
Experience using a test management tool
AI & Automation Skills
Familiarity with AI-assisted testing or coding tools (e.g., Claude, Copilot, Cursor)
Ability to validate and refine AI-generated test artefacts.
Preferred Qualifications:
Experience with performance testing
Experience with security testing
Working knowledge of SQL or relational databases for database testing
Familiarity with prompt engineering for test case generation
Experience contributing to continuous testing pipelines.