Senior Software Engineer, Quality Engineering
On-siteLondon, England, United Kingdom
Job Summary
Build and improve CI/CD pipelines supporting SDK build, test, validation, and release workflows. Develop Python-based automation and tooling for test orchestration, system validation, diagnostics, reporting, and quality visibility. Create, maintain, and improve automated tests across unit, integration, system, and end-to-end levels. Apply a testing mindset to engineering problems by identifying risks, questioning assumptions, improving observability, and designing solutions that are easier to validate and maintain. Help teams bake quality into solutions early by influencing design, implementation, testability, diagnostics, and release confidence. Investigate issues across build, test, deployment, and execution environments, then improve workflows to detect, diagnose, and prevent similar issues. Support Linux and Windows development environments, including cross-platform scripting, automation, debugging, and build/test workflows. Use test frameworks, quality metrics, reporting, and engineering data to improve quality visibility and support practical test strategy. Work with SDK teams to clarify quality risks, align on shared initiatives, and turn broad goals into actionable engineering work. Identify bottlenecks, fragile processes, gaps in automation, weak feedback loops, or weaknesses in test coverage, then drive pragmatic improvements with the teams involved. Use AI-assisted and agentic engineering technologies responsibly to improve coding, debugging, test generation, refactoring, documentation, triage, and team efficiency. Balance immediate delivery needs with longer-term improvements to SDK quality engineering practices, CI/CD reliability, developer feedback, and test effectiveness. Coordinate with teams across London, Bristol, and Dublin, including occasional planned travel where useful. Mentor peers, share good engineering practices, and help influence quality engineering approaches across teams.
Required Qualifications
- Strong practical Python skills for engineering automation, tooling, diagnostics, test orchestration, or quality-focused workflows
- Experience building, maintaining, or improving CI/CD, build, test, release, or deployment automation, using tools such as Jenkins/Groovy or equivalent systems
- Experience developing, maintaining, or improving automated tests, test frameworks, test infrastructure, or quality-focused tooling
- A strong testing mindset, including the ability to identify risk, understand failure modes, question assumptions, and design practical approaches to build confidence in complex systems
- Experience applying quality engineering practices beyond test execution, such as improving testability, observability, diagnostics, developer feedback, reporting, and release confidence
- Ability to diagnose and resolve issues across complex build, test, CI, deployment, or execution environments
- Comfortable working across Linux and Windows development environments
- Familiarity with test frameworks such as pytest, GTest, or similar, and an understanding of quality metrics, test reporting, or practical test strategy
- Experience using AI-assisted coding tools, LLMs, or agentic technologies to improve engineering productivity, with an understanding of how to review, validate, and apply generated output safely
- Ability to work with ambiguity: asking good questions, identifying risks, breaking broad problems into practical steps, and making sound engineering decisions when every detail isn't defined upfront
- Pragmatic engineering judgement, including knowing when to build a robust long-term solution and when to deliver a focused improvement that unblocks progress
- Clear communication and collaborative problem-solving, especially when working across distributed teams, resolving unclear ownership, and advocating for quality engineering concerns
- A willingness to take responsibility for quality engineering improvements, including proposing practical options, implementing changes, and following up with the teams involved
- Must be able to lift 50 lbs
Desired Qualifications
- Experience or awareness in 1 or more of the following areas: Languages such as C, C++, C#, or Rust
- Experience or awareness in 1 or more of the following areas: Build systems such as CMake or similar
- Experience or awareness in 1 or more of the following areas: .NET development or testing workflows
- Experience or awareness in 1 or more of the following areas: Container, Kubernetes, or VM-based environments
- Experience or awareness in 1 or more of the following areas: Desktop application testing
- Experience or awareness in 1 or more of the following areas: Graphics APIs or graphics-adjacent testing
- Experience or awareness in 1 or more of the following areas: AI/ML, MLOps, or data-driven quality workflows
- Experience or awareness in 1 or more of the following areas: Large-scale test infrastructure, reporting, or quality analytics
- Experience or awareness in 1 or more of the following areas: Developer productivity, platform engineering, or internal tooling
- Experience introducing or improving AI-assisted engineering workflows within a team
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