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Senior Quality Engineer

🏢 Everbridge📍 Auckland📅 16 days ago💼 Full-time🌐 Remote

👥 Human review score

65%

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📞 Interview rate

60%

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Free · no account needed

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About the role

As a member of the Everbridge Engineering team, you will be responsible for helping ensure the quality, reliability, and customer value of modern SaaS product experiences, including AI-assisted and agentic workflows. You will design, develop, and maintain modular, extensible, and reusable test cases, scripts, and validation approaches across UI, API, integration, and workflow layers. In this role, you will be embedded within an engineering team and partner closely with engineers, product managers, UX, and other quality professionals to drive quality best practices early in the application development lifecycle. You will help define acceptance criteria, validate complex user journeys, identify risks and edge cases, and promote a collaborative, proactive approach to quality. You will also be expected to use modern engineering and AI-assisted development practices, including coding agents, AI-assisted test generation, and automation tooling, to improve test coverage, accelerate feedback loops, and reduce manual regression effort. Promoting continuous improvement, you will identify opportunities to maximize the customer experience, reduce test cycle time, improve tooling and environments, eliminate waste, and support faster, more reliable delivery. As a member of the Everbridge Engineering team, you will be responsible for helping ensure the quality, reliability, and customer value of modern SaaS product experiences, including AI-assisted and agentic workflows. You will design, develop, and maintain modular, extensible, and reusable test cases, scripts, and validation approaches across UI, API, integration, and workflow layers. In this role, you will be embedded within an engineering team and partner closely with engineers, product managers, UX, and other quality professionals to drive quality best practices early in the application development lifecycle. You will help define acceptance criteria, validate complex user journeys, identify risks and edge cases, and promote a collaborative, proactive approach to quality. You will also be expected to use modern engineering and AI-assisted development practices, including coding agents, AI-assisted test generation, and automation tooling, to improve test coverage, accelerate feedback loops, and reduce manual regression effort. Promoting continuous improvement, you will identify opportunities to maximize the customer experience, reduce test cycle time, improve tooling and environments, eliminate waste, and support faster, more reliable delivery.

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