SDET / Automation Engineer (AI / Automation)

Hybrid Onsite at Washington, DC.

Must be local to DMV area.
Contract to Hire- Must be eligible to convert in future

Looking for Software Development Engineer in Test (SDET) - AI/Automation Focus

Position OverviewWe are 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.Key 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 Technical Skills
• 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

Key Qualifications
• 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
Preferred Skills
• Experience with modern testing frameworks beyond Selenium
• Background in machine learning or AI applications
• Experience with microservices and containerized applications
Soft Skills
• 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
What We Offer
• Opportunity to work with cutting-edge AI and automation technologies
• Collaborative environment focused on innovation
• Professional development in AI/ML and cloud technologies

EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."