Location: Milton Keynes/Homebased - with occasional travel to the office in Milton Keynes
Overview
Graphnet Health is one of the UK’s leading software providers of Shared Care and Health analytics solutions. A “Cloud First” organisation, we are one of Microsoft’s largest UK healthcare data customers with a variety of Azure services and technologies embedded across our suite of solutions. We are seeking a talented Senior Quality Engineer to join our QA team, responsible for validating complex end-to-end workflows across our Azure-based healthcare platforms using a combination of manual, automated, and non‑functional testing practices.
You will join an experienced and cross dimensional team operating under a Scaled Agile framework, with access to a range of industry leading tools and platforms.
If you want work at the cutting edge of technology to improve the lives of millions of individuals across the UK, then this may be the role for you.
Knowledge of Health Care systems would be beneficial but not essential.
Essential Skills and Key Responsibilities
* Practical experience in back‑end automated testing using C# (minimum 5+ years’ experience).
* Hands on testing experience using MS Azure technologies (ETL, Microservices, Messaging and Service Bus technology).
* Experience of automating front‑end applications with Typescript/Playwright.
* Solid understanding of .Net with practical experience using .Net 8+, NUnit and IDE’s like Visual Studio or Rider.
* Proficient with case management tools like JIRA and Confluence, including any plugins like XRay for test case management.
* Able to query using SQL and have a good understanding of relational databases.
* Proficiency and an eye for detail in handling and processing structured data e.g. JSON, CSV.
* Experience in design, implementation, and execution of Non‑functional tests (load, volume, stress, scalability and DR tests) using K6 or equivalent industry standard tools.
* Experience with integrating QA into CI/CD pipelines with Azure DevOps/Github Actions.
* Experience designing and managing automated and synthetic test data.
* Strong exploratory, integration, and end‑to‑end manual testing experience.
* Strong defect triage, root cause analysis, and cross‑functional collaboration skills.
* Exposure to AI‑assisted development and testing practices will be an advantage, including the use of modern AI tooling to support automation, quality engineering, and productivity workflows.
* Proficiency in handling structured healthcare data using FHIR and/or HL7.
* Experience in identifying performance bottlenecks and recommending performance optimisations for automated tests
Professional Qualifications
* Computing/IT related bachelor’s degree (desirable).
* AZ-900 (desirable) or equivalent cloud‑based certification.
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