QA

Austin, TX, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
$60 - $70/hr
Fitment

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Job Details

Skills

  • Selenium
  • Java
  • JavaScript
  • PYTHON
  • Playwright
  • Cypress
  • Use Cases
  • API Testing

Summary

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"
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90932951
  • Position Id: 8924754
  • Posted 4 hours ago
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