Job Title : AI / ML SDET
Job Location : Fort Mill, SC OR Austin, TX
Interview : Virtual
Job Duration : 6 months C2H
Job Summary :
We are looking for a Senior SDET with strong automation experience and a passion for cutting-edge technology, especially in the AI / ML space. This role will focus on building robust test automation frameworks and leveraging AI / ML capabilities to improve software quality across platforms. The ideal candidate will be hands-on with Java and Python , REST API testing, and experienced in integrating intelligent testing strategies into modern CI / CD pipelines.
Key Responsibilities :
- Develop and maintain automation frameworks for web, API, and data services using Selenium , Playwright , or similar tools.
- Build intelligent testing solutions leveraging AI / ML models for anomaly detection and test case optimization.
- Collaborate with cross-functional teams to ensure end-to-end product quality across Advisor, Investor, and Teammate platforms.
- Perform REST API testing using tools like Postman , RestAssured , or Karate .
- Drive shift-left testing by embedding quality checks early in the CI / CD pipeline (Jenkins, GitHub Actions, Azure DevOps).
- Write and execute complex SQL queries for data validation and integrity checks.
- Participate and lead Agile ceremonies including PI Planning, Sprint Reviews, and Retrospectives.
- Mentor junior SDETs and conduct code reviews to ensure best practices in automation.
- Lead testing strategy and delivery across multiple releases and high-impact projects.
Required Skills :
6+ years of experience in test automation and quality engineering.Strong hands-on programming skills in Java and Python .Experience with Selenium , Playwright , or Cypress .Expertise in REST API testing and integration validation.Solid knowledge of CI / CD pipelines and DevOps integration.Proficiency in SQL and working with large datasets.Familiarity with AI / ML frameworks and applying them in testing workflows.Strong debugging and analytical skills.Preferred Qualifications :
Experience with cloud platforms like AWS, Azure, or GCP.Understanding of data pipelines, ETL testing , and data quality monitoring.Exposure to generative AI , prompt engineering , or AI-driven test optimization tools.Contributions to open-source testing or AI projects are a plus.