Senior Quality Assurance Automation Engineer

webAI•Austin, TX

35d

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical field
5+ years of experience in test automation or software QA, with at least 2 years in a senior or lead capacity
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

Nice To Haves

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

Responsibilities

Design, develop, and maintain advanced automation frameworks and test suites, leveraging AI/ML for smarter, more resilient, and self-healing testing.
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
Define testing strategies, edge cases, and automation goals
Monitor product quality metrics and proactively suggest process improvements
Ensure testing of AI models and edge-deployed systems aligns with privacy and performance expectations
Integrate automated tests into CI/CD pipelines and ensure test coverage across new and existing features
Mentor junior QA engineers, conduct code reviews, and promote a culture of quality, accountability, and best practices across the engineering teams
Contribute to overall quality initiatives by identifying inefficiencies and proposing automation-based solutions