QA Engineer

Job Title - QA Engineer
Location - Austin, TX (Onsite role)
Experience - 5+ Years

We 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"