Senior quality assurance engineer Work, Jobs in Byfleet, Sry (with Salaries)

Head of Quality Engineering
Moneybox —London
- Quality control
1d
Senior QA Engineer
Red Badger —London
- Hybrid work
- Continuous improvement
- Agile
- Leadership
Quick apply
Senior QA Engineer
TPXImpact —London
- Continuous improvement
- Mentoring
- Scripting
- Employee assistance programme
Senior Quality Assurance Engineer
Trading212 —London
- Full-time
- Hybrid work
- Computer Science
- English
- Analysis skills
- Annual leave
Staff Software Test Engineer
CoMind —London
- £72,800 - £131,000 a year
- Full-time
- In-person
- AI
- Employee discount
Graduate QAT
Scrumconnect Consulting —London
- £26.50 an hour
- Computer Science
- Engineering
- Analysis skills
3d
HR Systems Analyst (6 Month FTC)
Senior plc Head Office —Rickmansworth
- Full-time
- Hybrid work
- Data analysis skills
- Continuous improvement
- Travel
- Work from home
- Employee assistance programme
Quick apply
Senior Automation Engineer (SDET)
BigHand —London
- Hybrid work
- Azure
- Mentoring
- Communication skills
Senior QA Automation Engineer
Intercontinental Exchange Holdings, Inc. —London
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Fintech Lab Engineer (Manager or Senior Consultant level) - Fintech Lab - Permanent - London
EY —London
- AI
- Communication skills
- Employee discount
Senior Business Analyst
bp —Sunbury
- Full-time
- Analysis skills
- Travel
- Scripting
- Relocation assistance
14d
Lead Frontend Engineer
Acre Software —London
- Remote
- In-person
- SDLC
- Annual leave
- Flexible schedule
Senior Automation Engineer ( UK & Ireland )
Uniphar PLC —Middlesex
- Computer Science
- Bachelor's degree
- Mentoring
Quick apply
QA Engineer
WTW —Reigate
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Data analysis skills
- Annual leave
- Employee assistance programme
Front End Software Engineer
Leidos —Farnborough
- £61,500 - £78,800 a year
- Full-time
- Mentoring
- Scripting
- Agile
- Annual leave
- Work from home
Senior Software Engineer
Medtronic —London
- £76,800 - £115,200 a year
- Full-time
- Mentoring
- In-person
Senior Software Engineer (with Delivery Management)
Everfox —London
- £76,900 - £123,500 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- AI
- Annual leave
Senior Machine Learning Engineer
International SOS —London
- Hybrid work
- Master's degree
- Machine learning
- AI
Senior Infrastructure Engineer
Pax8 Global —Farnborough
- £45,000 - £65,000 a year
- Full-time
- Hybrid work
- English
- Mentoring
- AI
- Free parking
Head of IT
Carnall Farrar —London
- Full-time
- Remote
- Bachelor's degree
- SharePoint
- AI
- Work from home
- Employee assistance programme
Quick apply

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Head of Quality Engineering

Moneybox -
London

Apply Now

Job details

1 day ago

Qualifications

Software quality assurance
Continuous improvement cycles oversight
Quality control
Risk management
Software testing

Full job description

About Moneybox

At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

Job Brief

We are looking for a Head of Quality Engineering to set the direction for software quality across Moneybox and ensure we can scale delivery without compromising customer outcomes, reliability or regulatory standards.

This is a senior quality engineering leadership role. You will establish quality as a shared responsibility across Engineering, Product and Design, connect quality priorities to company risks and create clear oversight from strategy through to delivery.

You will lead the definition and adoption of proportionate quality standards across Engineering, working with Product, Design and Engineering leaders to agree ownership, monitor effectiveness and escalate material gaps. The approach must be appropriate for our size and risk profile, providing enough control and evidence without introducing unnecessary process or slowing delivery.

This role requires strategic leadership, technical credibility, operational discipline and strong people leadership. You should be able to challenge engineering and testing approaches, assess automation effectiveness and turn ambiguity into clear action.

What You'll Focus on

Set the Quality Strategy

Define and deliver a clear, risk-based quality strategy aligned with company, product and engineering goals.
Identify the most important customer, business and operational quality risks, make explicit trade-offs and focus effort where it will have the greatest impact.
Translate company risks into clear quality priorities, standards, controls and ownership across the software development lifecycle.
Define the boundaries and responsibilities between QA, Engineering, Product, Design and other relevant functions so that accountability is clear and gaps are identified early.
Provide senior leaders with clear, evidence-based oversight of material quality risks and the actions being taken to manage them.

Improve Quality and Release Confidence

Establish proportionate quality controls that help teams deliver quickly and safely.
Ensure quality risks are considered early, decisions and ownership are clear and material issues lead to learning and measurable improvement.
Build confidence that critical customer journeys and higher-risk changes receive an appropriate level of testing and assurance.
Ensure significant quality and release decisions are supported by consistent, traceable and auditable evidence.
Work with Engineering, Product & Design leaders to resolve quality risks, making clear recommendations and escalating where the level of risk is unacceptable.

Strengthen Quality Engineering and Automation

Set the direction for quality engineering and automation, ensuring both are focused on the most important customer and business risks.
Establish clear and sustainable ownership across the engineering organisation, with appropriate standards, accountability and oversight.
Ensure automation is designed, delivered and maintained by the teams best placed to own it, based on the needs and operating model of the organisation.
Embed quality throughout discovery, design, development, release and production rather than treating testing as a separate phase.
Ensure automation is effective, reliable and maintainable and provides meaningful confidence in the areas that matter most.

Use Data to Drive Improvement

Establish a small set of trusted quality metrics linked to material customer, business and operational risks.
Use data to identify weaknesses, prioritise investment and demonstrate measurable improvements in release quality, automation effectiveness, delivery predictability and engineering effectiveness.
Set clear expectations for each metric and ensure results below the agreed level lead to ownership and action.
Avoid reporting for its own sake. Metrics must support decisions, reveal risk and improve outcomes.

Build a High-performing QA Team

Set clear expectations for QA leaders and engineers and hold them accountable for outcomes.
Develop capability in risk-based testing, quality engineering, technical judgement and leadership.
Create an environment where QA is a credible, proactive partner that helps teams prevent problems and make better decisions.
Give QA leaders appropriate autonomy while maintaining clear standards and consistent expectations across Engineering.
Build a strong team culture based on ownership, constructive challenge, continuous improvement and delivery.

Influence Across the Organisation

Work closely with Engineering, Product, Design, Risk and other teams to improve quality and delivery outcomes.
Operate as a peer to senior leaders, helping to shape decisions rather than acting solely as an assurance or approval function.
Communicate risks and recommendations clearly, challenge weak assumptions and make pragmatic trade-offs.
Ensure quality is considered early in product, technical and operational decisions.
Build trust through clear evidence, sound judgement and transparent ownership of risks and actions.

Prepare the Function for the Future

Evolve the QA operating model, skills and tooling as Moneybox grows.
Ensure the approach remains appropriate for the size, complexity and risk profile of the business.
Identify how emerging technology, including AI, can improve testing efficiency, quality insights and team productivity.
Develop the capabilities and leadership needed to support future products, technologies and regulatory expectations.

Experience & Skills

Essential

Experience leading QA or Quality Engineering in a technology organisation
Strong understanding of quality engineering across the software development lifecycle
Technical credibility across software testing, test architecture, automation and modern delivery practices
Experience defining and delivering quality and automation strategies
Ability to connect quality priorities, standards and controls to company risks
Strong judgement around risk, quality, delivery speed and proportionate control
Experience establishing clear, traceable and auditable quality processes
Experience using metrics to drive measurable improvement
Track record of leading and developing QA leaders and engineers
Ability to influence and challenge senior technical and non-technical stakeholders
Experience operating in a regulated or high-accountability environment
Clear ownership, strong execution and the ability to turn ambiguity into action

Desirable

Experience in financial services, fintech or another regulated industry
Experience with systems where correctness, reliability and traceability are business-critical
Experience improving quality across multiple engineering teams
Experience defining ownership across QA, Engineering and other technical functions

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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