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Tech Stack
Tools & technologiesAWSCloudJavaJavaScriptNode.jsPackerPythonReactTerraform
About the role
Key responsibilities & impact- Design, develop, and maintain front-end web applications using modern web technologies
- Build and style responsive user interfaces for an effective user experience
- Develop and maintain backend REST services and business logic supporting platform capabilities and agentic AI workflows
- Contribute to agentic AI components using frameworks such as LangChain, LangGraph, and LangSmith
- Support development and deployment of cloud-based services and infrastructure on AWS using OpenSearch, SageMaker, Lambda, and SQS
- Develop and maintain Infrastructure as Code using Terraform, Packer, and Terragrunt
- Collaborate with AI/ML engineers, architects, and product owners to translate requirements into scalable, production-ready solutions
- Support testing, debugging, and performance optimization
- Maintain documentation for system architecture, APIs, and development processes
- Provide feedback and mentoring to junior developers
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or a related field and 5 years of experience, or Master's degree and 3 years of experience
- 5–8 years of professional software development experience
- Pass CompTIA Security Plus Examination within 270 days of employment
- Must be a U.S. Citizen with no dual citizenship
- Ability to obtain a secret security clearance
- Experience building front-end web applications using HTML, CSS, and JavaScript
- Experience developing backend services and APIs, including RESTful service design and complex business logic implementation, using Python, Java, or NodeJS
- Strong problem-solving skills and ability to work effectively in a fast-paced, collaborative agile environment
- Preferred: ReactJS, LangChain, LangGraph, LangSmith, multi-agent orchestration, autonomous workflow design, LLM integration patterns, AWS, OpenSearch, SageMaker, Lambda, SQS, Terraform, Packer, Terragrunt, and DevSecOps practices