Demo

QA

Nitor Infotech
Austin, TX Full Time
POSTED ON 3/27/2026 CLOSED ON 4/26/2026

What are the responsibilities and job description for the QA position at Nitor Infotech?

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"

Salary : $60 - $70

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