Boston University

Security Automation Engineer II, BU Info Security

Boston University Boston, Massachusetts, United States · $120K–$169K/yr

Higher Education · 51-200 employees

Yesterday
Mid (2-5 yrs) Full-time United States
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About the role

You will secure IT systems by implementing security controls and automating workflows using code, version control, and CI/CD pipelines. Additionally, you will act as a technical mentor to colleagues and evaluate the security risks of emerging AI technologies.

What they look for

Security engineering Automation Python Go Java C# PowerShell CI/CD pipelines Git AI-assisted development Large language models Security architecture Identity protocols Network administration System administration DevSecOps

Requirements

Candidates must have at least 3 years of experience in security or infrastructure engineering and proficiency in a general-purpose programming language. A bachelor's degree is required, with a preference for a master's degree and experience in higher education environments.

Benefits

Tuition remission Paid intersession break 13 paid holidays University-funded retirement plan Professional development opportunities Online course library

Full description

Help secure a major research university's IT systems, and automate as much of that work as you can. You'll work with technologists and business units across Boston University to define, implement, and evaluate security risks and controls, and to make sure what we build matches our enterprise architecture standards and Information Security policy. You'll deploy and maintain security services, both commercial and home-grown, and help refine the policies and standards that govern them. What makes this role different is how we expect the work to be done. Security delivered as code, with version control, automated tests, and pipelines — and automated security checks living inside the pipelines our IS&T colleagues already use. We also want real fluency with current AI tooling: working in AI-assisted development environments day to day, using AI to help generate and validate tests and review code, building AI-assisted security tooling and MCP integrations, and being the engineer who can look hard at the AI systems other units want to deploy and say something useful about them. Raising everyone else's capability is a permanent part of this job, not a side project. You'll pair with colleagues, build patterns they reuse, run working sessions, and be the person others come to with a question about doing this safely — and you'll keep doing it, because the tooling keeps moving. Collaborative team, real problems, and strong benefits including tuition remission.