Senior Quality Engineer
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Likely real
- 27 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
What you'll do:
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.
What you'll bring:
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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