At a Glance
- Tasks: Lead QA strategy and drive automation in a dynamic insurance tech environment.
- Company: Join Hastings Direct, a forward-thinking digital insurance provider.
- Benefits: Enjoy flexible working, competitive bonuses, and comprehensive health support.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact on quality assurance using cutting-edge AI and automation.
- Qualifications: Experience in QA leadership and strong technical skills in Python and automation.
The predicted salary is between 60000 - 80000 £ per year.
Location: Bexhill/Leicester/London – Hybrid
Welcome to Hastings Direct. We’re a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. We provide insurance for over four million customers, but we know there’s even bigger opportunity out there – our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge. We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company. Pricing is more than just a number – it’s a strategic capability. At the heart of Hastings is deep risk insight – continually improving how we assess, segment and price risk through data and analytics.
The Role: We are seeking a senior, hands‑on QA leader to drive technological transformation of testing across our pricing platforms. This role is responsible for improving quality, pace, and confidence of delivery through modern testing techniques, automation, and AI‑enabled approaches, while leading and developing a high‑performing QA function. The role operates across our in‑house based rating engine and Azure/GitHub‑based engineering landscape. Working closely with pricing engineers, ML engineers, and underwriting teams, you will modernise how testing is designed, executed, and governed, reducing duplication of effort and materially lowering post‑live issues. This role combines hands‑on technical involvement, strong people leadership, and strategic ownership of testing capability, tooling, and environments.
Key Responsibilities:
- Lead end‑to‑end QA strategy and execution across all underwriting lines of business, ensuring testing supports high‑quality delivery at pace.
- Design, implement, and continuously evolve the QA strategy covering pre‑live testing, post‑release monitoring, and live issue investigation, with a focus on improving quality, pace, and confidence of delivery.
- Provide hands‑on technical leadership in reviewing test strategies, automation design, and investigation of complex or high‑impact defects, including interrogation of rating behaviour and data inputs.
- Lead the strategic and practical use of test automation, ensuring automation is targeted, maintainable, and focused on the highest‑risk areas.
- Drive improvements in automation and tooling to reduce manual effort and strengthen preventative quality controls, applying AI‑assisted techniques where they provide clear, measurable benefit.
- Work closely with pricing engineers and ML teams to apply AI‑assisted testing techniques where they add value, ensuring solutions are governed and suitable for a regulated environment.
- Own post‑release quality activities, including monitoring, alerting, and validation of controls, ensuring issues are detected early and feedback loops are effective.
- Improve the efficiency, stability, and reliability of QA test environments to enable comprehensive data testing with minimal environment‑related failures.
- Support incident RCA activity by providing testing insight, evidence, and analysis, and ensure learnings is embedded into improved testing practices.
- Line‑manage QA Leads and the Automation Manager, providing clear direction, prioritisation, coaching, and performance support.
- Ensure QA activities are focused on preventing customer harm and supporting compliance with regulatory and internal governance requirements.
- Maintain strong communication and organisational discipline to manage multiple initiatives and report progress, risks, and outcomes clearly and consistently.
- Develop and maintain QA documentation, standards, and artefacts to ensure testing practices are consistent, auditable, and aligned with internal and regulatory requirements.
- Define and track quality metrics such as defect trends, test effectiveness, automation coverage, and release readiness to support data‑driven decisions.
- Support recruitment and development of QA talent through active hiring involvement, regular one‑to‑one engagement, mentoring, and creating an environment where team members can perform and grow.
Skills, Knowledge and Expertise:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
- Strong experience leading QA or test engineering teams in complex, data‑driven or regulated technology environments.
- Hands‑on technical capability, with the ability to write, read, and review code and actively contribute to test design and automation decisions.
- Strong proficiency in Python, including writing and reviewing automated tests and debugging failures in complex rules‑based or decisioning systems.
- Proven experience designing and maintaining test automation, including API and integration testing using frameworks such as pytest, with working knowledge of UI tools such as Selenium, Playwright, or Cypress where appropriate.
- Experience applying AI‑assisted testing tools to improve coverage, efficiency, or defect detection, with clear understanding of governance and control requirements.
- Practical experience working with Git/GitHub, CI/CD pipelines, and Azure‑based engineering environments.
- Strong understanding of modern testing practices, including risk‑based testing, shift‑left quality, and end‑to‑end assurance.
- Experience working with test environments and test data, including validation of complex inputs and outputs using SQL and data comparison techniques.
- Familiarity with test management and defect tracking tools such as Azure DevOps and producing clear, meaningful quality metrics.
- Excellent leadership skills, with experience managing senior QA roles and automation specialists.
- Strong stakeholder‑management and influencing skills, with the ability to balance technical, commercial, and governance considerations.
- Excellent problem‑solving skills, with the ability to navigate complex pricing and engineering challenges and deliver robust solutions.
- Strong communication skills, able to clearly explain technical quality risks and solutions to both technical and non‑technical stakeholders.
- Experience working in Agile delivery environments and collaborating closely with engineering, data, and ML teams.
Interview Process:
- Recruiter screening call
- 1st Round – Intro call with Hiring manager
- 2nd Round – Case study round
Benefits:
- Flexible working – we champion a flexible hybrid working approach.
- Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus.
- Physical wellbeing – Hastings pay for you to receive private medical Insurance (PMI).
- Financial wellbeing – providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%.
- Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, and support groups.
- 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks.
- Access to health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, and social events throughout the year.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks. At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Lead Quality Engineer - Automation & AI employer: Dormont Manufacturing Co
Hastings Direct is an exceptional employer that champions a flexible hybrid working culture, allowing employees to balance their professional and personal lives effectively. With a strong focus on employee wellbeing, we offer comprehensive benefits including private medical insurance, a competitive bonus scheme, and extensive mental health support, all while fostering an environment of collaboration and innovation. Our commitment to nurturing talent ensures that team members have ample opportunities for growth and development within a dynamic and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Quality Engineer - Automation & AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Hastings Direct. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for your interviews by diving deep into the company culture and values. Show us how your skills align with our 4Cs culture and how you can contribute to our ambitious goals.
✨Tip Number 3
Practice your technical skills! Brush up on Python and automation tools relevant to the role. We love seeing candidates who can demonstrate hands-on expertise during technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Lead Quality Engineer - Automation & AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Quality Engineer role. Highlight your experience with automation, AI, and any relevant technologies mentioned in the job description. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality engineering and how you can contribute to our ambitious plans at Hastings Direct. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with Python, test automation tools, and any AI-assisted testing techniques you've used. We’re looking for someone who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and test automation frameworks like pytest. Be ready to discuss your hands-on experience with coding and how you've applied modern testing practices in previous roles.
✨Showcase Your Leadership Skills
As a Lead Quality Engineer, you'll need to demonstrate your ability to manage and mentor a team. Prepare examples of how you've successfully led QA initiatives, improved processes, or developed team members in the past.
✨Understand the Business Context
Familiarise yourself with Hastings Direct's business model and how quality assurance impacts pricing and customer trust. Be prepared to discuss how your role can contribute to their strategic goals and improve customer outcomes.
✨Prepare for Case Studies
Since there's a case study round in the interview process, practice solving real-world QA problems. Think about how you would approach testing strategies, automation challenges, and risk management in a regulated environment.