Key skills: Test automation, Healthcare background, AI
- Excellent written and verbal communication skills for effective collaboration with technical and business stakeholders.
- Practical experience using AI-assisted engineering tools or a demonstrated ability to adopt them effectively.
Preferred Qualifications
Familiarity with life-sciences business processes, applications, data, or system integrations.
Experience with cloud-based applications, distributed systems, or microservices architectures.
Experience with performance, security, or data-validation testing.
Familiarity with containerization, cloud platforms, and DevOps tooling.
Experience developing testing strategies for complex enterprise integrations.
Experience mentoring engineers or providing technical leadership in quality engineering.
Familiarity with test reporting, observability, and automated quality metrics.
Personal Attributes
Strong ownership and accountability for software quality and testing outcomes.
Collaborative and effective when working across technical and business teams.
Proactive in identifying risks, resolving blockers, and communicating quality concerns.
Adaptable and effective when requirements, technologies, or priorities change.
Curious and innovative, with a willingness to recommend improvements and new approaches.
Committed to continuous learning and the responsible use of AI-assisted engineering tools.