SDET/Software Engineer; AI/Automation
Listed on 2026-09-06
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Software Development
AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software, Machine Learning/ ML Engineer
Software Engineer In Test (SDET) - AI/ML
Hybrid Onsite at Columbia, MD. Must be local to DMV area. Looking for Software Engineer in Test (SDET) - AI/ML needed Jira and Confluence MUST Position Overview We are seeking a mid-level SDET with 3+ 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 Cloud Bees, 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 Cloud Bees CI/CD pipelines
- Troubleshoot and resolve technical issues with automation infrastructure
- Create AI-based automation solutions using AWS Bedrock and frameworks like Lang Chain
- 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/Type Script, Java, SQL, Unix Shell - AI/ML Frameworks: AWS Bedrock, Lang Chain, Pandas, and other popular Machine Learning libraries
- Test Automation:
Selenium, Playwright, API testing frameworks - Cloud & Dev Ops: AWS services, Docker, Kubernetes, Git
- CI/CD:
Cloud Bees, Jenkins, pipeline automation - Infrastructure:
Test environment setup and maintenance
Key Qualifications
- Bachelor's degree in Computer Science, IT, or related field
- 3+ years of experience in software testing and test automation
- Proven experience with AI tools for test generation, refactoring, and self-healing
- Strong understanding of Dev Ops 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.
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