At a Glance
- Tasks: Lead AI quality engineering and drive automation-first strategies across global teams.
- Company: Join StarCompliance, a leader in compliance software with a focus on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on continuous improvement.
- Why this job: Make a real impact by embedding AI in quality engineering and enhancing software delivery.
- Qualifications: Strong background in Quality Engineering and hands-on experience with automation frameworks.
The predicted salary is between 63000 - 77000 £ per year.
At Star Compliance, we build software that supports critical compliance needs for global clients.
AI is now a core capability within our platform, embedded directly into our products and services.
We are looking for an experienced AI Quality Engineering Lead to drive modern, automation-first quality engineering across our global engineering organisation.
This highly technical leadership role will focus on AI-assisted testing, agentic engineering, automation strategy, performance validation, and release confidence across cloud-native and legacy platforms.
This is not a traditional QA management position.
You will partner closely with Engineering, Architecture, Dev Ops, Product, and Release Management teams to embed quality throughout the software development lifecycle and enable scalable, continuous delivery.
How We Think About AI
At Star Compliance, AI is a core part of how we build and operate modern Saa S platforms.
We expect our engineers to
- Use AI-assisted engineering tools in daily workflows.
- Apply AI to improve development speed, automation, operational insight, and engineering quality.
- Ensure AI-generated outputs remain secure, compliant, auditable, and reliable.
Key Responsibilities
- AI & Agentic Quality Engineering
- Lead adoption of AI-assisted testing tools and agentic engineering workflows.
- Design and implement autonomous and semi-autonomous testing agents.
- Develop best practices for AI-generated testing, intelligent validation, and automated quality analysis.
- Enable engineering teams to embed AI-driven quality practices into day-to-day delivery.
- Platform & Release Quality
- Own release quality strategy across products and services.
- Build scalable end-to-end, integration, and regression testing approaches.
- Improve release confidence through automation, telemetry, and quality intelligence.
- Performance & Scalability Testing
- Define and execute performance, load, stress, and scalability testing strategies.
- Validate reliability across distributed and high-volume environments.
- Identify bottlenecks and support engineering teams in improving platform resilience.
- Quality Engineering Enablement
- Establish frameworks and standards for modern quality engineering.
- Partner with development teams to strengthen automation and quality ownership.
- Mentor engineers in automation, AI-assisted testing, and agentic engineering practices.
- Metrics & Quality Intelligence
- Define meaningful quality metrics aligned to operational and customer outcomes.
- Build dashboards focused on release health, reliability, and platform performance.
- Use data-driven insights to identify risks and drive continuous improvement.
Skills and Experience
- Strong background in Quality Engineering, Software Engineering, or SDET disciplines.
- Hands-on experience with automation frameworks and modern CI/CD pipelines.
- Experience implementing AI-assisted development or testing workflows.
- Knowledge of agentic systems, autonomous workflows, or AI-driven automation.
- Strong understanding of performance and scalability testing.
- Experience testing APIs, distributed systems, cloud-native platforms, and microservices.
- Excellent analytical, communication, and technical leadership skills.
- Experience within Saa S or regulated software environments.
- Knowledge of Azure cloud platforms and Dev Ops tooling.
- Familiarity with observability, telemetry, and production monitoring.
- Understanding of modern engineering metrics including DORA and release health indicators.
- Experience leading quality transformation initiatives.
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AI Quality Engineering Lead employer: StarCompliance
StarCompliance is an exceptional employer that prioritises employee growth and collaboration in a dynamic work environment. With a strong focus on innovation and reliability, we offer our Site Reliability Engineers the opportunity to work with cutting-edge technologies while fostering a culture of inclusivity and support. Our UK-based team enjoys flexible working arrangements, comprehensive benefits, and a commitment to professional development, making it a rewarding place to advance your career in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality Engineering Lead
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at StarCompliance or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to StarCompliance.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like StarCompliance.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like StarCompliance that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Quality Engineering Lead
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 StarCompliance.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at StarCompliance 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 StarCompliance
✨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 StarCompliance 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.
