> Markdown version of [/jobs/ext/3859155-senior-qa-engineer-software-engineering](https://www.wearedevelopers.com/jobs/ext/3859155-senior-qa-engineer-software-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior QA Engineer - Software Engineering - **Company:** Hewlett Packard Enterprise - **Location:** Widnes, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Code Coverage, Software Quality, Information Systems, Computer Programming, Continuous Integration, Software Debugging, Python (Programming Language), Log Analysis, Regression Testing, E2e Testing, Software Engineering, Software Systems, Software Testing Automation Framework, Test Execution Engine, Strategies of Testing, Virtualization Technology, Google Cloud, Cloud Platform System, Test Scripts, Containerization, Kubernetes, Information Technology, Restful APIs, Golang, Vmware - **Published:** October 22, 2026 - **Apply:** https://www.totaljobs.com/job/senior-software-engineer/hewlett-packard-limited-job108218353 ## About the Role * Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline. * Typically, 5+ years experience Knowledge and Skills: * Functional, integration, regression, and end-to-end testing * Test automation frameworks and infrastructure * Strong programming skills in Python, Java, Golang, or JavaScript. * Evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools. * Excellent written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels. * AI-assisted testing and software quality engineering Advantageous to have experience with any of the following: * Cloud environments, including Azure, AWS, or Google Cloud * Virtualization technologies, including VMware * Containers and Kubernetes * REST APIs * Storage and networking ## Description This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office., The Software Quality Engineer is responsible for ensuring the quality, reliability, and functionality of software products throughout the development lifecycle. Works closely with software developers, product managers, and other QA engineers to define test strategies, design and execute tests, develop test automation, investigate defects, and improve overall product quality., * Own QA activities for assigned features, from requirements and design through implementation and release. * Review product requirements and technical designs to identify test scenarios, risks, dependencies, and edge cases. * Define test strategies and develop detailed test plans and test cases for complex software features. * Perform hands-on manual testing, including functional, integration, regression, negative, and end-to-end testing. * Design, develop, and maintain automated tests to increase test coverage and improve testing efficiency. * Integrate automated tests into Continuous Integration (CI) pipelines and analyze test execution results. * Investigate test failures and product defects, perform root-cause analysis, and work closely with developers to resolve issues. * Analyze logs, test results, system behaviour, and configurations to troubleshoot complex issues across multiple components. * Perform regression testing and assess the potential impact of product changes across the system. * Collaborate closely with Software Engineers, Product Managers, and other QA engineers throughout the development lifecycle. * Identify quality risks and proactively communicate issues, dependencies, and potential release risks. * Work with complex cloud, virtualization, distributed-system, and containerized environments. * Leverage AI-based tools and technologies to improve test design, automation, test analysis, troubleshooting, and overall QA efficiency