QA Engineer II

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, Dev Sec Ops  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.

• Embed quality engineering practices early in the software development lifecycle
• Collaborate with engineers and product owners during requirements and design phases
• Define test strategies and acceptance criteria before implementation begins
• Drive quality‑focused engineering practices across frontend, backend, APIs, and integrations

• Design, build, and maintain automated test frameworks and pipelines
• Develop automated unit, integration, API, UI, regression, and end‑to‑end tests
• Implement scalable test automation for Angular frontend and Node.js backend applications
• Integrate automated testing into CI/CD pipelines and deployment workflows
• Improve test reliability, coverage, execution speed, and maintainability

• Use AI‑assisted tools to accelerate test creation, validation, and diagnostics
• Validate AI‑generated test cases, automation scripts, and quality artifacts
• Apply AI capabilities for intelligent test selection, defect analysis, and coverage optimization
• Support emerging engineering approaches focused on specification‑driven and validation‑first delivery
• Contribute to deterministic, machine‑readable testing and validation strategies

• Support quality validation across Azure cloud environments and Kubernetes platforms
• Participate in performance, resilience, security, and operational testing activities
• Contribute to observability, monitoring validation, and production quality initiatives
  
  Help validate deployment automation and infrastructure reliability

• Validate authentication and authorization implementations using OAuth2 and JWT‑based security models
• Support secure development lifecycle practices and automated security validation
• Participate in code reviews, defect analysis, and root cause investigations
• Promote engineering standards, testing best practices, and continuous improvement

• 3–6 years of software quality engineering or test automation experience
• Strong experience with automated testing frameworks and tooling
• Experience testing Angular frontend and API/backend services
• Familiarity with Node.js applications and distributed systems
• Experience with CI/CD pipelines and automated deployment workflows
• Familiarity with Docker and Kubernetes environments
• Experience working in Azure cloud environments preferred Understanding of OAuth2, JWT tokens, and application security concepts
• Strong analytical, troubleshooting, and debugging skills
• Experience writing technical documentation and test strategies

• Passion for improving engineering quality and developer productivity
• Interest in AI‑assisted engineering and autonomous quality validation
• Ability to think in end‑to‑end systems and workflows
• Strong communication and collaboration skills
• Continuous learner who stays current with emerging quality engineering practices

The Cor So 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…