At a Glance
- Tasks: Build automation and validation systems to ensure product reliability in complex environments.
- Company: Join a dynamic tech startup focused on innovative software solutions.
- Benefits: Flexible work hours, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by improving software quality with cutting-edge AI tools.
- Qualifications: Experience in QA automation, strong scripting skills, and a passion for reliability engineering.
The predicted salary is between 50000 - 70000 £ per year.
This role is ideal for someone who understands product quality and reliability deeply, writes scripts and automation fluently, and is excited by the opportunity to use modern AI and agentic tools to improve how software quality work gets done.
- Experience in QA automation, reliability engineering, test engineering, software engineering, or a closely related role.
- Strong scripting and automation skills, with the ability to write clean, practical code to automate repetitive or complex workflows.
- Experience building automated tests, validation frameworks, regression suites, or internal reliability tooling.
- Experience with CI/CD, release validation, observability, or production reliability workflows.
- Strong understanding of software quality, product behaviour, and how complex systems fail in practice.
- Experience working closely with engineering teams in fast-moving technical environments.
- Comfort using modern AI coding tools or agentic workflows to improve testing, debugging, or development velocity.
- Strong debugging instincts, attention to detail, and ability to turn ambiguous issues into clear technical problems.
- Ability to operate independently, prioritise high-impact reliability work, and build systems that scale with the team.
- (Desirable) Experience testing developer tools, infrastructure products, EDA tools, ML systems, or other complex technical software.
- (Desirable) Experience using LLMs or agents to generate tests, validate outputs, reproduce bugs, or automate QA workflows.
- (Desirable) Experience working in a startup or small engineering team where ownership spans multiple areas.
As a Product Reliability Engineer, you will build the automation, validation workflows, and quality systems that help ensure our products work reliably in complex technical environments. You will work closely with engineering and product teams to understand key workflows, identify failure modes, and turn manual validation into automated systems.
You may spend one day building automated test coverage for a critical user workflow, another day using agents to accelerate regression testing, and another day partnering with engineers to debug and operationalise reliability improvements.
We’re hiring someone who can bring structure, automation, and strong engineering judgement to the way Normal validates and ships software.
- Build automated validation and reliability systems across key product workflows.
- Translate repetitive manual validation workflows into scalable automation.
- Partner with product engineers to understand user workflows, define expected behaviour, and identify reliability gaps.
- Develop tooling that improves regression testing, release validation, and issue reproduction.
- Use AI and agentic tools to accelerate testing, debugging, validation, and quality workflows.
- Create lightweight systems that help engineering teams ship quickly with higher confidence.
- Investigate bugs, reproduce issues, document failure patterns, and convert recurring problems into durable automation.
- Collaborate with engineers across frontend, backend, ML, and infrastructure to improve product reliability.
Product Reliability Engineer in London employer: Normal Computing
At our company, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Product Reliability Engineer, you will have the opportunity to work with cutting-edge AI tools and collaborate closely with talented engineering teams, all while enjoying a supportive environment that prioritises professional growth and development. Located in a vibrant tech hub, we offer competitive benefits and a commitment to work-life balance, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Product Reliability Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your automation scripts and reliability projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to QA automation and reliability engineering. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Product Reliability Engineer in London
Some tips for your application 🫡
Show Your Passion for Quality:When you're writing your application, let us see your enthusiasm for product quality and reliability. Share specific examples of how you've tackled challenges in QA automation or reliability engineering, and how you’ve used modern tools to enhance software quality.
Highlight Your Scripting Skills:Make sure to showcase your scripting and automation skills in your application. We want to know about the clean, practical code you've written to automate workflows. If you've built automated tests or validation frameworks, don’t hold back—tell us all about it!
Demonstrate Your Team Spirit:We love collaboration! In your application, mention any experiences where you worked closely with engineering teams. Highlight how you contributed to improving product reliability and how you tackled complex systems together.
Keep It Relevant and Concise:While we appreciate detail, make sure your application is focused and relevant to the role. Tailor your experiences to align with the job description, and don’t forget to apply through our website for a smoother process!
How to prepare for a job interview at Normal Computing
✨Know Your Automation Tools
Make sure you’re well-versed in the scripting and automation tools relevant to the role. Brush up on your coding skills and be ready to discuss how you've used automation to solve complex problems in the past. Being able to demonstrate your fluency in writing clean, practical code will definitely impress.
✨Understand Product Reliability
Dive deep into the principles of product quality and reliability. Be prepared to talk about your experience with QA automation and how you’ve tackled reliability issues in previous roles. Showing that you can identify failure modes and turn them into automated solutions will set you apart.
✨Showcase Your Collaboration Skills
This role involves working closely with engineering teams, so highlight your experience in collaborative environments. Share examples of how you’ve partnered with product engineers to improve workflows or resolve issues. Emphasising your ability to communicate effectively will resonate well.
✨Be Ready for Technical Challenges
Expect to face some technical questions or challenges during the interview. Prepare by reviewing common debugging scenarios and think about how you would approach them. Demonstrating strong debugging instincts and a methodical approach to problem-solving will showcase your suitability for the role.
