About
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"
Languages
- English
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