Senior Quality Engineer

3 hours, 18 minutes ago
Full-time
Senior
Quality Assurance and Testing
Everbridge

Everbridge

Everbridge provides a comprehensive software platform that automates and enhances organizations' responses to critical events, ensuring the safety of individuals and the continuity of business operations during emergencies such as natural disasters, cy...

Internet Software & Services
1K-5K
Founded 2002

Description

  • Own and execute manual testing activities throughout the development lifecycle to validate new features.
  • Design, develop, and maintain modular test cases, scripts, and validation approaches across UI, API, integration, and workflow layers.
  • Collaborate with engineers, product managers, UX, and quality professionals to define acceptance criteria, test strategies, and edge cases early.
  • Contribute to building and maintaining automated tests for API and UI layers to expand coverage and reduce regression risk.
  • Support and evolve test environments, frameworks, and tools to improve test efficiency and reliability.
  • Use AI-assisted development tools, coding agents, and test generation techniques to accelerate test creation and improve coverage.
  • Review AI-generated test artifacts critically to ensure they validate business outcomes, system behavior, edge cases, and failure modes.
  • Monitor and communicate test results, escalate risks, and champion continuous improvement in quality practices and delivery speed.
  • Identify opportunities to improve customer experience, reduce test cycle time, eliminate waste, and accelerate feedback loops.

Requirements

  • 3+ years of experience testing enterprise-grade, scalable, and distributed applications, products, or services.
  • Experience with automation frameworks and tools such as Pytest, Selenium, or Playwright is beneficial.
  • 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 products using 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, and testing edge cases.
  • 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.

Interested in this position?

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