[Hiring] Software Engineer II | AI & Agentic Systems @Jamf

Role Description

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.

• Build the production systems where AI agents do real work on real code – authoring changes that run inside deterministic gates, with independent verification and a full audit trail behind every one.
• Take customer and platform problems, break them into workable pieces with your agile team, and own most of them end to end.
• Design the trust boundaries, blast radius, and least-privilege model for the automation itself, which holds elevated access to production.
• Build the evaluation and observability that keeps non-deterministic systems honest – measuring accuracy and catching silent degradation before anyone else does.
• Produce evidence that a control worked, not just the claim that it did.
• Work shoulder to shoulder with security engineering and PDD developers, and explain the tricky parts clearly to the rest of the organization.
• Bring engineering best practices to the table: ask the sharp questions, solve the hard problems, and help others level up.

Qualifications

• 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.
• 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.
• Experience in an agile organization and with build systems like Jenkins or Bamboo.
• Build trust and rapport across all levels, and do your best work collaboratively in a fast-paced environment.

Requirements

• 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.

Benefits

• 30 days of paid time off.
• 3 paid days to volunteer.
• Multisport Card.
• Luxmed packages and more.