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- Tasks: Ensure quality and reliability of healthcare software through automation and data testing.
- Company: Leading enterprise software firm revolutionising UK healthcare with innovative solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic role with a focus on AI tools and real-world clinical scenarios.
- Why this job: Join a mission-driven team making a real impact in healthcare technology.
- Qualifications: Experience in QA engineering, automation, and strong collaboration skills required.
The predicted salary is between 40000 - 50000 £ per year.
Company Description
Our client is an enterprise software business delivering Electronic Document Management Systems and Agentic AI-driven care pathway solutions into UK healthcare. They hold a market-leading position in EDMS and are at the forefront of advancing digital maturity across NHS Trusts.
Role
This is a hands-on QA engineering role focused on automation, data quality, and real-world clinical scenarios. You will be responsible for ensuring the reliability and quality of systems that ingest, process, and surface large and complex clinical documentation at scale.
You will:
- Build and maintain robust automated test coverage across UI, API, and data pipelines
- Apply risk-based exploratory testing to complex real-world healthcare scenarios
- Use AI tools such as Cursor and agents to accelerate test creation, analysis, and defect investigation
- Ensure clinical relevance and signal quality in testing, not just technical correctness
This is not a test execution role. You are expected to think like an engineer, a user, and a risk owner.
Responsibilities
Automation and Engineering Quality
- Design, build, and maintain automated test suites across UI, API, integration, and regression within CI/CD pipelines
- Ensure test suites are fast, reliable, and provide high-quality signal
- Reduce flaky tests and improve failure diagnostics
Clinical Data and Scenario Based Testing
- Validate system behaviour against real-world NHS data patterns, including:
- Large patient records
- Mixed structured and unstructured clinical content
- Variable document quality and formats
AI First QA Practices
- Use AI tools such as Cursor and agents to:
- Generate and refactor test code
- Create edge case scenarios based on real data patterns
- Accelerate defect triage and root cause analysis
- Support generation of release evidence
Essential:
- Proven experience in modern QA engineering with strong automation ownership
- Hands-on experience with JavaScript or TypeScript testing frameworks such as Cypress or Playwright
- Experience testing APIs and backend services
- Experience integrating automated tests into CI/CD pipelines
- Experience working with large and complex datasets, ideally document-heavy systems
- Practical experience using AI coding assistants or tools in delivery workflows
- Strong defect investigation and root cause analysis skills
- Ability to define, measure, and communicate quality effectively
- Strong cross-functional collaboration skills
Desirable:
- Experience in healthcare, NHS, or regulated environments
- Understanding of unstructured data, document management, or EDMS systems
- Experience with risk-based testing and traceability models
- Familiarity with test data management and environment strategy
- Exposure to performance, security, or accessibility testing
- Experience with Jira, test management tools, and quality dashboards
Quality Assurance Engineer in Maltby employer: EPR RESOURCING LTD
Contact Detail:
EPR RESOURCING LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quality Assurance Engineer in Maltby
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the healthcare tech scene. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automation projects, especially if you've worked with JavaScript or TypeScript frameworks. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for those interviews by diving deep into real-world clinical scenarios. Brush up on your knowledge of NHS data patterns and be ready to discuss how you’d tackle testing in complex environments. It’s all about showing you can think like an engineer and a user!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better shot at landing that Quality Assurance Engineer role. Let’s get you started on this exciting journey!
We think you need these skills to ace Quality Assurance Engineer in Maltby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Quality Assurance Engineer. Highlight your experience with automation, data quality, and any relevant tools like JavaScript or TypeScript frameworks. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects where you've built automated test suites or worked with large datasets. This helps us understand your hands-on experience and how you tackle real-world scenarios, especially in healthcare.
Be Clear and Concise: When writing your cover letter, get straight to the point! Explain why you're a great fit for the role and how your background aligns with our mission. We appreciate clarity and directness in communication.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at EPR RESOURCING LTD
✨Know Your Tools
Familiarise yourself with the specific automation tools mentioned in the job description, like Cypress or Playwright. Be ready to discuss your hands-on experience with these frameworks and how you've used them in past projects.
✨Understand Real-World Scenarios
Since this role involves testing complex clinical documentation, brush up on real-world NHS data patterns. Think about how you would validate system behaviour against large patient records and mixed content types, and be prepared to share examples from your experience.
✨Showcase Your AI Savvy
Highlight any experience you have with AI tools like Cursor. Discuss how you've used AI to enhance your testing processes, whether it's generating test code or accelerating defect triage. This will show that you're not just technically proficient but also forward-thinking.
✨Communicate Quality Effectively
Be ready to explain how you define and measure quality in your work. Use specific examples to illustrate your defect investigation skills and how you've communicated quality metrics to cross-functional teams. This will demonstrate your ability to collaborate effectively.