About the Role
You are a Quality Engineer with strong experience in modern software delivery environments and a passion for building fully automated, AI-enhanced quality engineering practices.
You believe quality is engineered into systems from the beginning — not validated at the end — and you actively promote shift-left testing, automation-first thinking, and continuous validation throughout the software lifecycle.
You work closely with software engineers, product owners, DevSecOps engineers, and architects to ensure applications are scalable, secure, resilient, and production-ready. You are comfortable working across frontend, backend, APIs, cloud-native platforms, and CI/CD pipelines.
You are excited by emerging AI-assisted engineering capabilities and understand how AI can improve test generation, validation, diagnostics, coverage analysis, and operational quality insights.
Responsibilities
Shift-Left Quality Engineering
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Embed quality engineering practices early in the software development lifecycle
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Collaborate with engineers and product owners during requirements and design phases
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Define test strategies and acceptance criteria before implementation begins
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Drive quality-focused engineering practices across frontend, backend, APIs, and integrations
Test Automation Engineering
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Design, build, and maintain automated test frameworks and pipelines
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Develop automated unit, integration, API, UI, regression, and end-to-end tests
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Implement scalable test automation for Angular frontend and Node.js backend applications
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Integrate automated testing into CI/CD pipelines and deployment workflows
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Improve test reliability, coverage, execution speed, and maintainability
AI-Enhanced QA & Validation
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Use AI-assisted tools to accelerate test creation, validation, and diagnostics
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Validate AI-generated test cases, automation scripts, and quality artifacts
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Apply AI capabilities for intelligent test selection, defect analysis, and coverage optimization
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Support emerging engineering approaches focused on specification-driven and validation-first delivery
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Contribute to deterministic, machine-readable testing and validation strategies
Cloud, Platform & Operational Quality
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Support quality validation across Azure cloud environments and Kubernetes platforms
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Participate in performance, resilience, security, and operational testing activities
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Contribute to observability, monitoring validation, and production quality initiatives
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Help validate deployment automation and infrastructure reliability
Security & Quality Governance
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Validate authentication and authorization implementations using OAuth2 and JWT-based security models
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Support secure development lifecycle practices and automated security validation
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Participate in code reviews, defect analysis, and root cause investigations
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Promote engineering standards, testing best practices, and continuous improvement
Required Experience & Capabilities
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3–6 years of software quality engineering or test automation experience
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Strong experience with automated testing frameworks and tooling
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Experience testing Angular frontend and API/backend services
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Familiarity with Node.js applications and distributed systems
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Experience with CI/CD pipelines and automated deployment workflows
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Familiarity with Docker and Kubernetes environments
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Experience working in Azure cloud environments preferred Understanding of OAuth2, JWT tokens, and application security concepts
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Strong analytical, troubleshooting, and debugging skills
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Experience writing technical documentation and test strategies
Growth Potential Signals
- Strong automation-first mindset
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Passion for improving engineering quality and developer productivity
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Interest in AI-assisted engineering and autonomous quality validation
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Ability to think in end-to-end systems and workflows
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Strong communication and collaboration skills
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Continuous learner who stays current with emerging quality engineering practices
About the Team
The CorSo Accident and Health team is building innovative, cloud-native insurance technology platforms designed for the future.
We operate with a startup mentality, move quickly, challenge conventional approaches, and leverage modern engineering and AI-assisted capabilities to deliver differentiated solutions in a competitive marketplace
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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