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.
DATA QUALITY , AZURE , PYTHON , CI/CD , SELENIUM , DEVOPS , AWS , API , AI , JAVA , ML , POSTMAN