Senior Quality Assurance Automation Engineer
About the Role:
As a Senior QA Automation Engineer at webAI, you will lead the design, implementation, and optimization of our automated testing infrastructure. You’ll take a proactive role in improving product quality, setting testing standards, and mentoring others on automation best practices. You’ll work cross-functionally with engineering, DevOps, and product teams to ensure high confidence in every release of our distributed AI platform.
This is a highly technical, hands-on role suited for someone who thrives in fast-paced environments, takes ownership of quality initiatives, and enjoys solving complex engineering challenges with a test-first mindset.
Key Responsibilities:
AI-Enhanced Automation: Build, maintain, and optimize end-to-end test suites using AI tools to reduce flakiness and accelerate development.
Generative AI & Simulation: Use AI tools (e.g., Cursor, GitHub Copilot) to generate test cases and leverage LLMs to simulate complex user behaviors.
Intelligent Testing & Reporting: Implement AI-driven static analysis, anomaly detection, and automated defect triage within CI/CD pipelines.
Collaborate with product owners, developers, and data engineers to define and implement comprehensive AI-first test strategies and plans that align with business requirements and project goals
Identify, document, and track bugs through resolution using tools like Jira
Develop and maintain QA documentation, including test plans, test cases, and test data
Contribute to overall quality initiatives by identifying inefficiencies and proposing automation-based solutions
Monitor product quality metrics and proactively suggest process improvements
Ensure testing of AI models and edge-deployed systems aligns with privacy and performance expectations
Mentor junior QA engineers, conduct code reviews, and promote a culture of quality, accountability, and best practices across the engineering teams
Collaborate with remote QA team
Required Skills & Qualifications:
• Experience: 4–6+ years in QA with 2+ years specifically focusing on AI/ML applications in test automation.
• AI/Technical Skills: Proficiency with tools like Cursor, Copilot, and Testim, alongside coding skills (Python, JavaScript, or Java).
• Frameworks & DevOps: Strong experience with Playwright, Cypress, or Selenium and CI/CD tools (Jenkins, GitHub Actions).
• AI Understanding: Ability to validate AI-driven features and interpret model outputs.
• Bachelor’s degree in Computer Science, Engineering, or related technical field
• Expertise in one or more programming/scripting languages (e.g., Python, Go, JavaScript)
• Deep experience with automation tools like Selenium, Playwright, or similar frameworks
• Strong understanding of CI/CD tooling (e.g., Gitlab runners, Jenkins, GitHub Actions) and version control systems (e.g., Git)
• Proficiency in API testing tools and methodologies (e.g., Postman, REST-assured, Swagger)
• Experience testing cloud-based or distributed systems
• Excellent problem-solving skills and a detail-oriented, analytical approach
Preferred Qualifications:
Experience automating tests for distributed systems, edge computing, or AI/ML workflows
Knowledge of Docker, Kubernetes, or other container/orchestration technologies
Experience with performance, load, or security testing
Experience with configuring gitLab runners
Background in startup environments or agile product teams
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.