Senior DevOps Engineer, AI, Automation, & Data Engineering

Boston University; Boston (MA); Hybrid; USD 150,000 - 211,000; Full time

Benefits offered by this job

Time Off

Tuition Assistance Program

Retirement Plan

Job summary

Boston University IS&T is seeking a Senior DevOps Engineer to contribute to a hybrid AI/data engineering team. You will design and maintain scalable AI and data platforms across cloud, on-premise, and hybrid environments, leading DevOps strategies and automation.

Join a dynamic team delivering cutting-edge AI applications and models, collaborating with faculty and industry partners to push innovation in higher education.

Qualifications

• 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.

Responsibilities

• 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.

Skills

DevOps practices

Cloud architectures

CI/CD pipelines

Python

AI frameworks

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Docker

AWS EKS/ECS

CI/CD tools

Job description

Category

Job Location

Salary Grade

Grade 52

Expected Hiring Range Minimum

$150,400.00

Expected Hiring Range Maximum

$210,600.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Type

Full-Time/Regular

Are you ready to challenge the status quo and help shape the future of higher education and beyond? At Boston University, we are assembling a world-class AI and Data Engineering team to transform operations, drive innovation, and deliver innovative AI applications and agents. This is your chance to work on cutting-edge technologies—Agentic AI frameworks, LLMs, RAG, MCP, scalable AI architectures—and develop solutions at the frontier of modern artificial intelligence. Join us as a Senior DevOps Engineer. As a member of the AI and Data Engineering team, you will tackle some of the university's highest priority initiatives while collaborating with our renowned faculty, brilliant students, and industry-leading technical teams. You'll bring your expertise to a vibrant environment that values ingenuity, agility, and impact, where your ideas can make a difference on a global scale. Together, we'll deliver AI solutions that not only revolutionize university operations but also become models 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.

Required Skills

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.

Boston University offers an excellent benefits package including:

• 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!

Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at 617-353-6474. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color , natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.