Job Title - QA Engineer Location - Austin, TX (Onsite role)Experience - 5+ YearsWe are redefining quality engineering by integrating AI-powered testing and intelligent automation into our development lifecycle. We're looking for a Software Development Engineer in Test (SDET) with 5+ years of experience who can go beyond traditional QA and help build scalable, intelligent, and high-impact test systems.
This role is ideal for someone who enjoys owning quality end-to-end, designing robust frameworks, and leveraging AI to drive productivity gains in testing efficiency.
Key Responsibilities- Own end-to-end quality strategy for features and services
- Design and develop scalable test automation frameworks from scratch
- Balance manual testing, automation, and AI-driven testing approaches
- Integrate AI tools for test case generation, defect prediction, and test optimization
- Contribute to test architecture and engineering best practices
- Build and maintain CI/CD-integrated test pipelines
- Collaborate with developers, product managers, and DevOps teams
- Drive shift-left testing and continuous quality improvements
- Evaluate and implement AI/ML-based testing frameworks and tools
Must-Have Skills (Non-Negotiable)- 5+ years in Quality Engineering / SDET role
- Strong programming skills in Java, Python, JavaScript or TypeScript
- Hands-on experience with automation tools such as Selenium, Playwright, or Cypress
- Solid understanding of test design, test architecture, and automation frameworks
- Experience with API testing, UI testing, and integration testing
- Exposure to CI/CD pipelines (e.g., Jenkins, GitHub Actions)
- Hands-on experience with test management and defect tracking tools (Jira, TestRail)
- Practical experience using AI tools for testing (e.g., test generation, analysis, optimization)
- Strong problem-solving and debugging skills
- Ability to own quality strategy and drive execution independently
- Experience in building or contributing to AI/ML-based testing frameworks
- Knowledge of LLM-based testing use cases (prompt-based test generation, validation, etc.)
Good-to-Have Skills (Bonus)- Exposure to performance testing tools (e.g., JMeter, k6)
- Experience with cloud platforms (AWS preferred)
- Understanding of microservices architecture and distributed systems
- Familiarity with containerization (Docker, Kubernetes)
- Experience in test data management and service virtualization
- Contributions to open-source QA/automation projects
What Makes This Role Exciting- Be at the forefront of AI-driven quality engineering
- Opportunity to design next-gen testing frameworks, not just use them
- High ownership with visibility across teams
- Hybrid work model with strong engineering culture
Who You Are- You think like an engineer, not just a tester
- You are curious about how AI can transform QA
- You challenge inefficiencies and automate relentlessly
- You can balance speed, quality, and scalability"