SDET with AI/ML - W2 Only

Washington, DC, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • SDET
  • AI/ML
  • Java
  • Selenium
  • AWS

Summary

***Candidates MUST BE located in DC (or) Maryland (or) Virginia

**No C2C/OPT-EAD Candidates please!

Title: SDET with AI/ML

Terms of Employment

W2 Contract-to-Hire, 6 Months

This is a hybrid schedule at Washington, DC (Must be local to DMV area)

Overview

Our Client is seeking a Mid-level SDET with 5+ years of experience to join our team and drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS and CloudBees, with emphasis on self-healing scripts and AI-driven testing solutions. This is an opportunity to work with cutting-edge AI and automation technologies and collaborative environment focused on innovation. Be a Professional development in AI/ML and cloud technologies.

Responsibilities

Design, develop, and maintain automated test scripts and frameworks.

Deploy and configure reliable automation assets in CloudBees CI/CD pipelines

Troubleshoot and resolve technical issues with automation infrastructure.

Create AI-based automation solutions using AWS Bedrock and frameworks like LangChain.

Integrate AI agents and solutions with existing automation platforms.

Implement self-healing test scripts and Intelligent Test Automation (ITA) strategies.

Apply context engineering to ensure AI-driven testing relevance and coverage.

Required Skills & Experience

Bachelor's degree in Computer Science, IT, or related field

5+ years of experience in software testing and test automation

Proven experience with AI tools for test generation, refactoring, and self-healing

Strong understanding of DevOps practices and CI/CD pipelines

Experience building and scaling testing agents

Knowledge of context engineering for AI-driven testing

Programming Languages: Python, JavaScript/TypeScript, Java, SQL, Unix Shell

AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries

Test Automation: Selenium, Playwright, API testing frameworks

Cloud & DevOps: AWS services, Docker, Kubernetes, Git

CI/CD: CloudBees, Jenkins, pipeline automation

Infrastructure: Test environment setup and maintenance.

Strong analytical and problem-solving abilities

Excellent communication and collaboration skills

Adaptability to rapidly evolving AI and automation technologies

Strategic thinking with focus on testing efficiency and coverage

Self-motivated with ability to work independently

Preferred Skills & Experience

Experience with modern testing frameworks beyond Selenium

Background in machine learning or AI applications

Experience with microservices and containerized applications.

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: 10300723
  • Position Id: 23252-GSK
  • Posted 3 hours ago
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