Company
Technology
SeniorQualityEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Quality Engineer. Skills: Automated testing, AI-assisted testing, Quality assurance. Own manual testing activities. Execute manual testing”
Industry & Context.
Debugging; Problem-solving; Critical thinking about AI outputs
What They're Looking For.
Must Have
3+ years experience testing applications, Experience with version control systems, Ability to think critically about AI-generated outputs, Experience working in an Agile environment
Nice to Have
Exposure to automation frameworks and tools, Familiarity with AI-assisted development tools, Exposure to testing AI/ML products, Understanding of CI/CD and DevOps concepts, Bachelor’s degree in Computer Science
What You'll Do.
Own manual testing activities
Execute manual testing
Validate new features
Collaborate with engineers
Collaborate with product managers
Define acceptance criteria
Define test strategies
Build automated tests
Maintain automated tests
Reduce regression risk
Support test environments
Evolve test environments
Support test frameworks
Evolve test frameworks
Use AI-assisted engineering tools
Use test generation techniques
Review AI-generated test artifacts
Validate business outcomes
Validate system behavior
Validate failure modes
Communicate test results
Champion quality improvements
Champion delivery speed improvements
How You'll Work.
Team & Collaboration
Agile process collaboration; Collaborate with engineers; Collaborate with product managers
Process & Methodology
Agile environment
Full Job Description
## 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,
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