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# Senior DevOps Engineer, AI, Automation, & Data Engineering

- **Company:** Boston University
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Continuous Integration, Information Engineering, Data Systems, DevOps, Github, Python (Programming Language), Node.Js, Software Engineering, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, AI Coding Agents, AWS ECS, Vue.js, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Management, Data Pipelines, AWS EKS, Docker, Web Api, Programming Languages, Agent2Agent Protocol
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ad7888852e004c2e

## About the Role

You Will Have:

 * Degree in Computer Science, Software Engineering, or related field. 5+ years of applicable work experience.
 * Strong understanding of DevOps practices, scalable architectures, and modern security standards.
 * Expertise in containerization (Kubernetes, Docker, AWS EKS/ECS) and multi-environment deployment (on-premise, cloud, hybrid).
 * Development experience in modern programming languages (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code, etc.) including with familiarity in AI technologies and frameworks (e.g., prompt engineering, RAG, embeddings, MCP, A2A, etc.).
 * Hands-on experience with hosting and fine-tuning LLM/SLMs.

## Description

of innovation for institutions worldwide. This hybrid role is perfect for individuals who thrive in dynamic environments, working across infrastructure, model management, and application development to bring impactful AI and Data solutions to life. Join us to make history, develop transformative technology, and work alongside some of the greatest minds in academia and technology. If you thrive in a fast-paced, high-performing environment and want to leave your mark on projects with real-world impact, we encourage you to apply for this exciting opportunity! Be part of the team that will define what's possible in AI for academia and beyond. You Will: Design and maintain scalable AI and Data platforms across cloud, on-premise, and hybrid environments. Lead DevOps architecture, deployment strategies, automation, and infrastructure standards. Build and optimize containerized environments using Kubernetes, Docker, AWS ECS, and EKS. Develop and support AI applications, agents, integrations, and
data pipelines in partnership with engineering teams. Support emerging AI technologies and workflows, including RAG, MCP, and A2A. Host, configure, and fine-tune LLM and SLM models for university use cases. Establish monitoring, observability, performance, capacity, and reliability practices for AI and Data platforms. Ensure platforms and infrastructure meet security, compliance, governance, and operational standards. Identify and implement technical improvements that strengthen reliability, scalability, efficiency, and platform maturity., * Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays.

 * Retirement: University-funded retirement plan with full vesting after 2 years of eligible service.
 * Tuition Assistance Program: Competitive tuition assistance program for yourself and family members.
 * Check out https://www.bu.edu/wellness/ and https://www.bu.edu/hr/part-time-employee-perks/ for more information!