DevOps & AI Engineering Intern - Undergraduate

## About the Team/Role: We are seeking a highly motivated undergraduate student in Computer Science, Software Engineering, Information Technology, or a related field to join our Engineering teams as an intern. In this role, you will work at the intersection of Developer Enablement and AI Infrastructure—supporting teams that build enterprise developer velocity, cloud migration, SDLC security, and state-of-the-art Model Context Protocol (MCP) servers, agentic frameworks, and AI observability tools across WEX. Working alongside experienced platform engineers, architects, and product managers, you will solve real-world platform challenges using technologies like Python, Git, AWS, Azure, Terraform, GitHub Actions, Artifactory, and modern GenAI developer tools. ## How You’ll Make an Impact: - Build & Support AI Infrastructure: Assist in developing, deploying, and maintaining MCP (Model Context Protocol) servers, agentic infrastructure, and AI observability capabilities for the Software Development Life Cycle (SDLC). - Modernize CI/CD & Pipelines: Audit, upgrade, and test GitHub Actions dependencies, converting legacy steps into documented, reusable workflow templates for the internal developer marketplace. - Automate Infrastructure with Code: Write and refactor production-ready Terraform modules to automate Artifactory repository setups, RBAC policies, lifecycle rules, and cloud infrastructure. - Support Enterprise Developer Workflows (OPEX): Provide front-line assistance to internal developers by investigating, triaging, and resolving incoming GitHub, Artifactory, and CI/CD support tickets while maintaining team SLAs. - Integrate GenAI & Agent Frameworks: Evaluate and implement Generative AI tools (e.g., Cursor, Augment, Claude, LangChain, LlamaIndex) to automate engineering workflows and build practical backend services. - Enforce SDLC Security & Metadata Standards: Help implement automated compliance tagging (e.g., FABRIC_ID), native Secret Push Protection, and security guardrails against AI-era threats. - Author Technical Documentation & Starter Guides: Create clear README files, sample developer starter repositories, and step-by-step documentation showcasing secure pipeline patterns and AI tool integration. - Collaborate & Engage in Daily Agile Syncs: Participate actively in daily standups and engineering design sessions. ## Experience You’ll Bring: - Educational Foundation: Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field. - Core Programming Skills: Foundational proficiency in Python or other modern programming/scripting languages (Bash, JavaScript/TypeScript, Java, Go). - Command-Line Git & GitHub: Hands-on experience navigating GitHub and executing CLI workflows. - Networking & System Fundamentals: Core understanding of networking concepts and systematic technical troubleshooting skills. - Proactive Communication & Service Mindset: Clear written and verbal communication skills. - Self-Drive & Resourcefulness: High curiosity, initiative to independently research and troubleshoot technical issues.