What you’ll do at Jamf:

At Jamf, we empower people to be their best selves and do their best work. As a Software Engineer II on a new team enabling secure, governed adoption of autonomous and agentic workflows, you'll help build production systems where AI agents do real work on real code - authoring changes inside deterministic gates, with independent verification and a full audit trail. This is a greenfield build inside a mature platform, starting with Security.

Must-have:

3+ years building enterprise-grade software commercially, with a solid grasp of testing and QA.
3+ years of commercial experience in Java or Python.
Hands-on experience building with LLM APIs and agentic frameworks – tool calling, multi-step execution, structured output – well beyond using AI coding assistants.
Hands-on experience with AI-driven coding assistants (GitHub Copilot, Cursor, Claude Code) to speed up your own work.
Sound judgment about where automation should and shouldn't act on its own – and the ability to articulate exactly where that line sits.
You think in trust boundaries, blast radius, and least privilege by default.
You treat vulnerability management as a discipline: severity and exploitability, SLAs, and exception handling.
Experience in an agile organization and with build systems like Jenkins or Bamboo.
You build trust and rapport across all levels, and do your best work collaboratively in a fast-paced environment.

Nice-to-have:

Software supply chain security – SBOMs, provenance and attestation, image signing and verification, policy-as-code.
Experience running AI coding agents at repository scale, and building the harness that makes their output trustworthy.
Familiarity with AI governance in a security context – model-use policy, data handling, and the audit questions that follow an agent-initiated production change.
Experience in a regulated environment (SOC 2, FedRAMP, or similar) and a feel for what auditors actually ask for.

17 openings across locations