SDET / Automation Engineer (AI / Automation)
Mindlance
Job-ID27907761Reference26-09600Remote30% Remote 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 Overview We 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
- Experience with modern testing frameworks beyond Selenium
- Background in machine learning or AI applications
- Experience with microservices and containerized applications
- 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
- Opportunity to work with cutting-edge AI and automation technologies
- Collaborative environment focused on innovation
- Professional development in AI/ML and cloud technologies EEO:
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