Partner with engineering teams to define service-level objectives, error budgets, and supporting indicators for their services, and help them use those measures to inform prioritization and reliability investment.
Investigate complex production issues end-to-end across application, data, infrastructure, and network layers, using AI to correlate logs, metrics, and code and to pressure-test hypotheses before acting.
Produce clear technical documentation, runbooks, architecture notes, postmortems and proofs of concept for both technical and non-technical audiences, in a form that engineers and AI tools can re-use.
Identify systemic sources of toil and lead the work to eliminate them through automation, AI agents, tooling, and process change.
Set the conditions for AI agents to do reliable work in our environment, including repository context, well-specified tasks, integrations such as MCP servers that give AI safe access to the systems it needs, and the tests and guardrails needed for AI-authored change to be trusted.
Participate in team ceremonies to identify and refine work, communicate findings, and drive opportunities to collaborate.
Drive cross-team and cross-department collaboration on reliability initiatives, including reviewing designs, influencing roadmaps, and mentoring engineers on SRE practices, including effective AI use in their reliability work.
Advise senior leadership and stakeholders during critical customer escalations, translating between technical reality and business impact.
Contribute to scaling the SRE practice itself: improving our standards, our tooling, and how we partner with product engineering teams.
Requirements
Minimum of 5 years experience in software engineering, SRE or production operations roles. (Required)
Strong production troubleshooting skills across the stack. Ability to diagnose issues from first principles using the tools available (profilers, heap and thread dumps, query plans, traces, logs, metrics). (Required)
Experience working within a form of the Agile development framework process. (Required)
Hands-on experience operating production services on AWS (e.g. EC2, S3, EKS, RDS/Aurora, CloudFront). (Required)
Experience creating clear and concise technical documentation that is targeted at both technical and non-technical audiences. (Required)
Experience writing infrastructure as a code. (Required)
Experience writing automation in a general-purpose language (e.g. Python, Go, Java, or similar) to a production standard. (Required)
Strong judgement about how to apply AI effectively across the full range of SRE work, including high-stakes areas such as production access and sensitive data, knowing how to scope and verify work to make it safe. (Required)
Hands-on experience using agentic development tools (e.g. Claude Code, Cursor, Copilot) to deliver engineering and operational work, scoping and delegating bounded tasks, verifying the output, and shipping with confidence. (Required)
Experience improving how a team works with AI, for example authoring reusable skills, repository context files, or prompt patterns that others adopt. (Required)
Experience optimizing SQL queries and database engine tuning. (Preferred)
Experience with CI/CD Tooling (e.g. Github Actions, Jenkins). (Preferred)
Exposure to chaos engineering, fault injection and disaster recovery exercises. (Preferred)
Familiar with FinOps practices. (Preferred)
2 year / Associates (Required)
4 year / Bachelor's Degree (Preferred)
A combination of relevant experience and education may be considered
Tech Stack
AWS
EC2
Grafana
Java
Jenkins
Prometheus
Python
SQL
Go
Benefits
Named a 2025 Best Companies to Work For by U.S. News
Named a 2024 Best Technology Company to Work For by U.S. News
Named one of Forbes Most Trusted Companies in 2024
Named a 2024 Best Companies to Work For by U.S. News
Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings.
You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world.
We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple.
Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software.
You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect.
We offer a clear career path that enables you to grow under supportive leadership and management
Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering
22 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes).
Over 100,000 Jamf Nation users, the largest online IT community in the world.