Quality Engineer

Quality Engineer

Full-Time 56700 - 69300 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Own test automation and enhance our existing automated test suite for impactful software.
  • Company: Join Artificial, a pioneering tech firm transforming the specialty insurance market.
  • Benefits: Enjoy private medical insurance, generous holiday allowance, and a vibrant team culture.
  • Other info: Be part of a diverse team committed to innovation and continuous learning.
  • Why this job: Make a real difference in a collaborative environment while shaping the future of insurance technology.
  • Qualifications: Strong experience in test automation frameworks and familiarity with Playwright or similar tools.

The predicted salary is between 56700 - 69300 £ per year.

About Artificial

At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.

About the Role

We are looking for a Quality Engineer to own test automation across Artificial's product platform. This is a hands-on technical role: we already have a substantial automated test suite - roughly 680 Playwright tests alone, plus extensive backend coverage - but it's grown quickly without a dedicated owner, and needs real structure, consolidation, and meaningful metrics built on top of it. You'll start on Platform, bringing structure to what exists and establishing standards for what gets added next, then extend automation into Transform/customer-configuration testing over time - an area with no automated coverage today, only manual execution by our existing testers, in work that's highly specific to each client.

Key Responsibilities

  • Reorganisation and consolidation: Bring coverage, completeness, and integrity to our existing ~680-test Playwright suite (plus extensive backend coverage) - identifying and removing duplication, fixing or removing flaky tests, and establishing clear structure and naming conventions where the suite has outgrown its original organisation.
  • Meaningful metrics: Build real, trustworthy metrics off the back of the existing suite - coverage mapped to actual product routes and features, pass/fail trends over time, and flaky-test tracking.
  • Ongoing addition and maintenance: Own the suite as a living asset, not a one-off clean-up - adding new automated coverage as features ship, maintaining existing tests as the product changes, and keeping the suite healthy on an ongoing basis.
  • CI pipeline scaling: Work collaboratively with the QA Lead and Engineering on a real scaling plan for our existing CI pipeline (Buildkite).
  • Clarifying automation boundaries: Work with Engineering and FDE teams to establish a clear, documented relationship between platform-level automated tests and FDE

Quality Engineer employer: Artificial Labs

At Artificial Labs, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work at the forefront of technology in the specialty (re)insurance market. Located in a vibrant area, we offer a dynamic environment where your contributions directly impact our mission of advancing governance, risk, and compliance capabilities.

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Contact Details:

Artificial Labs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quality Engineer

✨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 Artificial Labs 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 Artificial Labs.

✨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 Artificial Labs.

✨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 Artificial Labs 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 Quality Engineer

Test Automation Frameworks
Playwright
Cypress
Selenium
CI/CD Integration
Flaky Test Diagnosis
Test Coverage Visibility

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 Artificial Labs.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Artificial Labs 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 Artificial Labs

✨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 Artificial Labs 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.