Senior Software Development Engineer (AI & Agentic Systems)

Jamf is a company focused on enhancing the Apple experience in the workplace. The Senior Software Development Engineer will lead agile teams to develop tools that help organizations succeed with Apple, while mentoring others and ensuring high-quality product delivery.

Responsibilities:

• Break down customer problems into work you and the team can execute on
• Independently complete tasks from start to finish with high quality
• Ability to communicate technical concepts to stakeholders
• Use your knowledge of Engineering best practices to ask the right questions, solve problems and build great software with a high level of quality
• Produce designs for new and existing features
• Clearly communicate technical concepts with others in the organization (Technical Communication, Support, Product and Cloud)
• Performs all job responsibilities in alignment with the core values, mission and purpose of the organization
• Adheres to the highest moral, ethical and legal standards to deliver and environment that promotes respect, innovation and creativity
• Supports and promotes a positive, inclusive workplace one in which the talents and strengths of our increasingly diverse workforce are welcomed, further developed and manifested in our work
• Build and operate agentic workflows that act on production systems - a model planning and executing multi-step work against real infrastructure, not assisting in an editor
• Design their guardrails: blast-radius limits, rollback, CI as a mandatory gate, and confidence thresholds deciding what runs automatically versus what queues for approval

Requirements:

• Minimum of 5 years of experience developing enterprise grade software with understanding of testing and quality assurance processes
• Minimum of 5 years of demonstrated experience in current programming language and tools based on position requirements
• Hands-on experience building with LLM APIs and agentic frameworks: tool calling, multi-step execution, structured output (Beyond AI coding assistants)
• Thinks in terms of trust boundaries, blast radius, and least privilege — including about the automation itself, which holds elevated access to production
• Understands vulnerability management as a discipline: severity and exploitability, SLAs, exception handling, and why an unpatched system with a documented exception differs from one nobody noticed
• 2 year / Associates
• AI coding agents at repository scale (Claude Code or equivalent) - running them across many repos and building the harness that makes their output trustworthy
• Evaluation and observability for non-deterministic systems: measuring accuracy, catching silent degradation
• AI governance in a security context - model-use policy, data handling, and the audit questions that follow an agent-initiated production change
• General Experience performance and load testing applications
• 4 year Bachelors Degree