QA Engineer

September 25, 2026

Hybrid

Middle

London, United Kingdom

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English is required

Description

The company is hiring a QA Engineer to own and advance automated testing across financial services products, based in London with a hybrid work model. The role centres on building C# and BDD-based functional and regression test suites, covering REST API, UI, and exploratory testing while integrating automation into CI/CD pipelines. The engineer will also adopt AI-assisted coding tools to speed up test creation and defect analysis, and collaborate with engineering, product, DevOps, and client delivery teams. Benefits include professional development reimbursement, a competitive holiday scheme, and hands-on training throughout the career.

Responsibilities

Design, develop, and maintain automated functional and regression test suites using C# and BDD frameworks
Execute functional, regression, API, UI, and exploratory testing to ensure high-quality releases
Integrate automated testing into CI/CD pipelines using GitHub Actions to support continuous delivery
Leverage AI-powered development tools to accelerate test creation, defect investigation, and impact analysis
Collaborate with Software Engineers, Product Managers, DevOps, Operations, and Client Delivery teams on requirements and defect identification
Generate and maintain BDD scenarios, automated test scripts, and QA documentation, contributing to automation standards and the knowledge base
Continuously improve QA processes and promote automation best practices across the team

Requirements

Experience developing automated test frameworks using C# (.NET) or Java
Hands-on experience with Behaviour Driven Development frameworks such as SpecFlow or Reqnroll
Strong experience automating REST API and UI testing with Playwright, Selenium WebDriver, or similar tools
Knowledge of CI/CD pipelines, GitHub Actions, version control, and modern software delivery practices
Strong SQL skills and experience validating complex datasets against relational databases
Experience using AI-assisted coding tools such as Claude Code or GitHub Copilot with critical validation of AI-generated output
Solid understanding of software testing principles, agile methodologies, and test design techniques including equivalence partitioning and boundary value analysis
Excellent communication and collaboration skills across technical and business teams

Conditions

Hybrid work model with a base in London
Professional development reimbursement including access to corporate university courses
Competitive holiday scheme and wellbeing benefits
Hands-on, team-customised training throughout the career
Applications are accepted on an ongoing basis until the position is filled

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