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Principal Systems Test and Automation Engineer
Albus Health. Develop a deep understanding of the Albus platform and interactions among its cloud, data-processing and software components .
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Develop a deep understanding of the Albus platform and interactions among its cloud, data-processing and software components
- Apply systems-engineering and V-model principles to define verification across component, subsystem and system levels
- Translate product requirements, intended use and technical knowledge into robust, measurable test cases
- Design, implement and maintain automated tests primarily using Python
- Improve automated test infrastructure, datasets, reporting and coverage
- Design and implement component, integration and system-level testing
- Test cloud services, APIs, backend components, data flows and processing pipelines, including interactions and failure modes
- Collaborate with software engineers, data scientists and research scientists to define expected behaviour and verification approaches
- Investigate test failures and product defects, identify root causes and support developers in resolving issues
- Integrate testing into development, CI/CD and release processes
- Use AI-assisted tools to improve test design, automation, analysis, reporting and engineering productivity
- Contribute to Albus's testing strategy, processes and quality system
Requirements
What you’ll need- Significant professional experience in software, systems or product testing at a senior level
- Strong experience designing and implementing test automation
- Strong Python programming ability sufficient to independently design, write and maintain high-quality automated test code and supporting tools
- Strong hands-on experience testing cloud-based systems, services and data flows, ideally on AWS
- Experience testing complex products comprising multiple interacting components or subsystems
- Strong systems thinking and practical experience applying systems-engineering principles and the V-model, including verification at component, subsystem and system levels
- Strong analytical and investigative skills, including identifying risks, weaknesses and failure modes and determining where testing effort should be concentrated
- Experience working autonomously in a small company, start-up or similarly fast-moving environment
- Practical experience using AI-assisted tools as part of day-to-day testing or software-engineering work
- Hands-on experience integrating automated tests into CI/CD pipelines and release workflows, including automated execution, reporting and investigation of failures
- Strong communication skills and ability to work effectively with software engineers, data scientists, scientists and other technical specialists
- Ability to manage multiple testing workstreams and priorities while maintaining technical depth
- Desirable but not essential: quantitative or statistical acceptance criteria and data-driven testing
- Desirable but not essential: biomedical, healthcare or digital-health experience
- Desirable but not essential: regulated medical technology experience
- Desirable but not essential: familiarity with IEC 62304, ISO 13485 or related medical-device standards
Benefits
Comp & perks- Employee share option scheme
- 22 days' annual leave plus UK bank holidays
- Company pension scheme
- Generous maternity and paternity leave in accordance with our company policy
- Monthly company lunch and regular informal team activities
- Flexible working hours, with core collaboration hours of 11am–4pm
- Hybrid working, combining regular time working with the team in our Oxford office with flexibility to work from home