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Senior DevOps Engineer, AI, Automation, & Data Engineering

Boston University

Boston, MA · HybridFull-time$150–211K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$150–211K/yr
Location
Boston, MAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Boston University is assembling a world‑class AI and Data Engineering team and seeks a Senior DevOps Engineer to design and maintain scalable AI and data platforms across cloud, on‑premise and hybrid environments, lead DevOps architecture, build containerized solutions, support AI applications and ensure security, compliance and reliability.

Skills & qualifications

RequiredNice to have

Skills

DevOps PracticesScalable ArchitecturesModern Security StandardsKubernetesDockerAWS EKSAWS ECSPythonReactVueNode.jsTypescriptAPIsDatabasesGit/GitHubCI/CDAI Coding AssistantsInfrastructure as CodePrompt EngineeringRAGEmbeddingsMCPA2ALLM Fine‑Tuning

Qualifications

Degree in Computer Science or Software Engineering or Related Field5+ Years Applicable Work Experience

Benefits

Paid Time Off
401(k) Match
Tuition Assistance

Full job description

Senior DevOps Engineer, AI, Automation, & Data Engineering

Job Description

Senior DevOps Engineer, AI, Automation, & Data Engineering

Category

Charles River Campus --> Information Technology

Job Location

Boston, MA, United States

Tracking Code

26501068661020

Posted Date

10/26/2026

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 forefront 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:

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.

Required Skills

Job Location: Boston, MA

Position Type: Full-Time/Regular

Salary Grade: $150,400.00-$210,600.00

To apply, visit https://jobs.silkroad.com/BU/External/jobs/317485 (https://apptrkr.com/9921265)

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How this job compares

Set against the 2,409 open DevOps Engineer jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This posting$150–211K/yr
  • Massachusetts median$119–187K/yr50 salary ranges
  • US median$117–187K/yr1,789 salary ranges

This range's midpoint, $181K, is 17% above the Massachusetts median midpoint ($154K) — in the top quarter of DevOps Engineer salary ranges in Massachusetts.

Openings
Olive Jobs lists 65 open DevOps Engineer jobs in Massachusetts and 2,409 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
This posting asks for at least 5 years of experience; DevOps Engineer postings that state a minimum ask for 5 years at the median (2,143 postings).
Education
This posting asks for a bachelor's degree; 931 of the 2,409 open DevOps Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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