AI-native QA Engineer
New
Based in the United States, ESTContractMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years of QA engineering experience, including at least 2+ years focused on automation.
- Required Skills
- PostgreSQLPythonClickhouseCI/CDRESTful APIsDistributed Systems
Requirements
- 3+ years of QA engineering experience, including at least 2+ years focused on automation.
- Proven hands-on experience using LLMs (e.g., GPT, Claude, Llama) as part of QA or engineering workflows.
- Strong programming skills in Python and experience with PyTest or similar frameworks.
- Solid understanding of REST APIs, client-server architecture, and distributed systems.
- Experience working with SQL databases such as PostgreSQL or ClickHouse.
- Hands-on experience integrating automated tests into CI/CD pipelines.
- Ability to work independently on complex systems and ambiguous business logic.
- Comfortable working in an EST timezone environment.
Responsibilities
- Design and build AI-assisted testing frameworks and pipelines covering functional, regression, integration, and performance testing.
- Develop and maintain automated test suites integrated into CI/CD pipelines using modern engineering practices.
- Leverage LLMs and AI tools to generate test cases, analyze defects, and accelerate QA workflows.
- Perform root cause analysis of bugs and production incidents, identifying patterns and preventing regressions.
- Collaborate closely with developers, product managers, and R&D teams to validate releases and ensure system reliability.
- Improve test coverage, QA processes, and automation frameworks continuously through data-driven insights.
- Support validation of agent-based or AI-driven systems and ensure robustness of complex workflows.
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