At a Glance
- Tasks: Lead a team of Quality Engineers and drive innovative quality practices in software development.
- Company: Join a forward-thinking company focused on Environmental, Health, Safety, and Sustainability solutions.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Other info: Dynamic role with opportunities to influence and innovate in quality engineering.
- Why this job: Make a real impact by enhancing software quality with cutting-edge technologies and AI.
- Qualifications: Experience in managing QA teams and hands-on software testing skills required.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
As the Manager, Quality Engineering, you will lead and develop a team of Quality Engineers while remaining hands-on in driving modern quality engineering practices across our EHS & ESG software products.
This role combines technical leadership, people management, and quality strategy.
You will be responsible for evolving our Quality Engineering capabilities by introducing innovative automation approaches, leveraging AI-enabled testing solutions, and embedding quality throughout the software development lifecycle.
Working closely with Engineering, Product Management, Architecture, and Dev Ops teams, you will help ensure we deliver secure, scalable, and reliable enterprise software solutions that support customers managing critical Environmental, Health, Safety, and Sustainability processes.
The successful candidate will be a passionate Quality Engineering leader who can coach and inspire a team while also getting involved technically to improve frameworks, automation, processes, and engineering practices.
Key Responsibilities
- Quality Engineering Leadership
- Lead, mentor, and develop a team of Quality Engineers, creating a culture of ownership, collaboration, and continuous improvement.
- Define and execute the Quality Engineering strategy aligned with product and business objectives.
- Drive alignment of the Quality Engineering strategy across engineering teams to ensure consistency, traceability, governance, and scalable quality practices throughout the organisation.
- Champion modern QE practices, including shift-left testing, continuous testing, automation, and quality-by-design principles.
- Establish quality standards, processes, and best practices across engineering teams.
- Monitor, measure, and drive adoption of Quality Engineering standards and best practices, using data and reporting to identify opportunities for continuous improvement.
- Drive continuous improvement initiatives to increase product quality, reliability, and delivery efficiency.
- Hands-on Technical Contribution
- Remain technically engaged by contributing to automation frameworks, testing approaches, and quality engineering solutions.
- Design, implement, and improve automated testing strategies across UI, API , contract, integration, regression, and end-to-end testing.
- Evaluate and introduce AI-powered testing tools and techniques to improve test coverage, efficiency, and defect detection.
- Explore the use of AI for test generation, automation optimisation, defect analysis, and improving engineering productivity.
- Support the integration of automated testing into CI/CD pipelines.
- Troubleshoot complex quality challenges and provide technical guidance to QE Engineers and development teams.
- Collaboration & Delivery
- Partner with Software Engineering, Product Management, Dev Ops, and Architecture teams to embed quality throughout the SDLC.
- Influence engineering teams to adopt quality-first practices and shared ownership of testing.
- Analyse quality trends, identify risks, and drive data-informed improvements.
- Define and monitor quality metrics, KPIs, and dashboards.
- Leverage reporting and analytics tools, including Power BI, to provide actionable quality insights and support data-driven decision making.
- Communicate quality insights and recommendations to senior leadership.
- Team Development
- Recruit, coach, and develop Quality Engineering talent.
- Conduct regular performance reviews and support career progression.
- Build technical capability within the QE team through mentoring and knowledge sharing.
- Required Skills & Experience
- Proven experience managing and mentoring Quality Engineering, Software QA, or Test Engineering teams.
- Strong hands-on experience with software testing and automation.
- Experience designing and maintaining automation frameworks using technologies such as Playwright, Cypress, Selenium, or similar.
- Experience with API testing, automation, and contract testing in distributed or microservices-based architectures.
- Experience integrating automated testing into CI/CD pipelines.
- Strong understanding of Agile software development methodologies.
- Experience implementing Quality Engineering strategies across enterprise software products.
- Experience defining and measuring quality metrics and KPIs.
- Strong analytical, reporting, and data visualisation skills, with experience using tools such as Power BI to derive insights from quality metrics and communicate performance trends.
- Ability to balance technical delivery with team leadership responsibilities.
- Strong analytical and problem-solving skills.
- AI & Emerging Technology Experience
- Practical experience applying AI tools within software testing or engineering workflows.
• Understanding of AI-assisted testing approaches, including
- AI-generated test cases and scenarios.
- Automated test optimisation.
- Intelligent defect analysis.
- AI-assisted automation development.
- Improving engineering productivity through AI tools.
- Curiosity and enthusiasm for adopting emerging technologies to improve software quality.
- Preferred Qualifications
- Experience delivering enterprise Saa S applications.
- Experience within regulated industries such as EHS, ESG, Governance, Risk & Compliance, Audit, Legal, Finance, or Healthcare software.
- Experience testing complex cloud-based applications and distributed systems.
- Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
- Experience with performance, security, accessibility, or reliability testing.
- Familiarity with tools such as Jira, Azure Dev Ops, Test Rail, Xray, or similar.
- Knowledge of the Tricentis tool suite (including Tosca and q Test) would be advantageous.
- ISTQB certification (or equivalent Quality Engineering certification) is desirable.
- Relevant AI-focused learning or certifications (such as Anthropic Academy or equivalent Generative AI training) would be an advantage.
- What You'll Bring
- A passion for engineering excellence and delivering high-quality software.
- A balance of technical expertise and strong people leadership.
- The ability to inspire teams while remaining hands-on and technically credible.
- A continuous improvement mindset with a focus on automation, innovation, and AI-enabled quality practices.
- The ability to influence cross-functional teams and drive meaningful change.
- Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts.
Our interview process is designed to assess your individual skills, experiences, and communication style.
We value authenticity and want to ensure we’re getting to know you—not a digital assistant.
To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process.
Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Manager, Software Quality Assurance - QE Manager in London employer: Wolters Kluwer
Wolters Kluwer is an exceptional employer, offering a dynamic work culture in the heart of Greater London that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a commitment to work-life balance, making it an ideal environment for those looking to make a meaningful impact in revenue operations.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Software Quality Assurance - QE Manager in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Manager, Software Quality Assurance - QE Manager in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wolters Kluwer.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wolters Kluwer and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Wolters Kluwer
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wolters Kluwer uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.