Senior QA Automation Engineer – AI Applications
New
RomaniaFull-TimeSenior
SalaryCompetitive compensation package aligned with experience and location, including potential bonuses and equity components.
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonAgileJenkinsSoftware ArchitectureAPI testingCI/CDGitHub Actions
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of experience in software QA, test automation, or software engineering roles.
- Strong programming skills in Python with hands-on experience building test automation frameworks.
- Experience working with CI/CD systems and modern development workflows.
- Practical use of AI-powered tools or coding assistants to enhance testing productivity.
- Solid understanding of software architecture, design patterns, and scalable system design.
- Experience designing QA frameworks or platforms used across multiple teams or services.
- Strong analytical thinking, problem-solving ability, and attention to detail.
- Excellent communication and collaboration skills in Agile, distributed environments.
Responsibilities
- Design, build, and maintain automated test suites, evaluation scenarios, datasets, and metrics for AI-powered features and systems.
- Develop scalable QA automation frameworks and test harnesses for APIs, backend services, and AI applications using Python.
- Automate QA workflows within CI/CD pipelines (e.g., GitHub Actions, Jenkins), integrating AI-assisted testing tools.
- Define QA strategy, test plans, and acceptance criteria across functional, integration, API, and AI/ML-specific testing domains.
- Evaluate AI/ML model outputs for correctness, consistency, bias, and expected product behavior using structured rubrics.
- Build and maintain automated regression and validation pipelines embedded in deployment workflows.
- Participate in cross-team engineering initiatives, code reviews, and ensure QA best practices are consistently applied.
- Mentor peers and help elevate QA maturity across engineering teams.
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