Keeping people safe and organizations running. Faster.
Senior Quality Engineer
Location
New Zealand
Posted
11 days ago
Salary
0
Seniority
Senior
Job Description
Senior Quality Engineer
Everbridge
• Own and execute manual testing activities during the development lifecycle, ensuring new features are thoroughly validated as part of the agile process. • Collaborate closely with engineers and product managers to define acceptance criteria, test strategies, and edge cases early in the development cycle. • Contribute to building and maintaining automated tests for API and UI layers, helping to expand coverage and reduce regression risk. • Support and evolve test environments, frameworks, and tools to improve test efficiency and reliability. • Use AI-assisted engineering tools, coding agents, and test generation techniques to accelerate test creation, improve coverage, debug failures, and support faster feedback loops. • Review AI-generated or AI-assisted test artifacts critically, ensuring tests validate business outcomes, system behavior, edge cases, and failure modes rather than only basic technical responses. • Monitor and communicate test results, escalate risks, and champion continuous improvements in quality practices and delivery speed.
Job Requirements
- 3+ years of experience testing enterprise-grade, scalable, and distributed applications, products, and services.
- Exposure to automation frameworks and tools (e.g., Pytest, Selenium, Playwright …) is beneficial, though specific technologies are less important than your ability to apply the right approach to the problem.
- Experience with version control systems such as Github or GitLab.
- Familiarity with AI-assisted development tools, coding agents, or AI-assisted test automation is a plus.
- Exposure to testing products that incorporate large language models, AI/ML technologies, agentic workflows, recommendation systems, automation, or decision-support capabilities is a plus.
- Strong debugging and problem-solving skills, with the ability to quickly learn new tools and technologies.
- Ability to think critically about AI-assisted outputs, including identifying gaps, validating assumptions, testing edge cases, and ensuring business outcomes are correctly verified
- Experience working in an Agile environment.
- Understanding of CI/CD and DevOps concepts is preferred.
- Bachelor’s degree in Computer Science or a related field is preferred.
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