Job Title: SDET
Location: Atlanta GA/ onsite
Duration: 6 months
Rate: $55/c2c or $49/w2
Has to come to office for Face to Face Round of Interview.
We are seeking a highly skilled Senior SDET (Software Development Engineer in Test) with strong expertise in test automation, quality engineering, and AI-enabled testing solutions.
The ideal candidate will have extensive experience in designing and implementing automation frameworks, integrating AI-driven testing capabilities,
and driving quality engineering best practices across the software development lifecycle.
This role requires a hands-on automation professional who can leverage AI tools and intelligent automation techniques to improve test coverage, accelerate release cycles, and enhance overall product quality.
Key Responsibilities
• Design, develop, and maintain scalable test automation frameworks.
• Create and execute automated test scripts for web, API, and enterprise applications.
• Integrate AI-powered testing tools and solutions to improve test efficiency and defect detection.
• Collaborate with developers, business analysts, and product teams to define quality requirements.
• Develop automated regression, functional, integration, and end-to-end test suites.
• Analyze test results, identify root causes, and drive defect resolution.
• Implement quality engineering best practices within Agile and DevOps environments.
• Enhance CI/CD pipelines by incorporating automated testing and quality gates.
• Mentor junior QA engineers and promote automation-first testing strategies.
Mandatory Skills
• 8+ years of experience in Quality Engineering and Test Automation.
• Strong SDET background with hands-on automation expertise.
• Experience with Selenium, Playwright, Cypress, or similar automation tools.
• Strong programming skills in Java, Python, JavaScript, or C#.
• Experience with API testing tools such as Postman, Rest Assured, or Karate.
• Hands-on experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions.
• Strong knowledge of Agile, DevOps, and software testing methodologies.
AI & Automation Skills
• Experience leveraging AI tools for test case generation, test optimization, and defect analysis.
• Knowledge of AI-assisted testing platforms and intelligent automation solutions.
• Experience with Generative AI tools such as GitHub Copilot, ChatGPT, Microsoft Copilot, or equivalent.
• Understanding of AI/ML concepts and their application in Quality Engineering.
• Ability to drive AI adoption and automation enablement initiatives within QA teams.