B2B Site Reliability Engineer

jamf; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

jamf is seeking a remote Site Reliability Engineer to partner with product engineering and support teams in Poland. The role blends hands-on production operations with automation design and AI-enabled tooling to improve reliability across services.

You'll work across architecture, data, and infrastructure, setting SLOs, conducting postmortems, and driving automation while collaborating with leadership on critical customer issues. Occasional in-person events may occur.

Qualifications

• 5+ years in software eng, SRE, or prod ops.
• Strong troubleshooting across the stack with logs, metrics and traces.
• Hands-on prod ops on AWS (EC2, S3, EKS, RDS/Aurora).
• Experience with observability tools and IaC automation.
• Judgement in applying AI for reliability and secure access.

Responsibilities

• Define SLOs, error budgets, and success indicators with teams.
• Troubleshoot complex prod issues end-to-end across layers.
• Create docs, runbooks, and postmortems for reuse.
• Reduce toil via automation and AI agents.
• Mentor engineers and advise on critical escalations.

Skills

SRE practices

AWS experience

Troubleshooting

AI tooling

Documentation

Mentoring

Tools

Grafana

Prometheus

LogicMonitor

AWS

Terraform

GitHub Copilot

Job description

Role overview

A remote Site Reliability Engineer role based in Poland, partnering with product engineering teams to balance delivery speed with the reliability of customer-facing services. The position sits at the intersection of engineering, product, customer success, and technical support, blending hands-on production operations with the design of automation and agentic tooling that improves reliability across the organization. Occasional in-person collaboration at a local office may be required for team events.

Responsibilities

• Partner with engineering teams to define service-level objectives, error budgets, and supporting indicators, and use these measures to guide prioritization and reliability investments.
• Investigate complex production issues end-to-end across application, data, infrastructure, and network layers, using AI to correlate logs, metrics, and code and to validate hypotheses.
• Produce clear technical documentation, runbooks, architecture notes, postmortems, and proofs of concept aimed at both technical and non-technical audiences and structured for reuse by engineers and AI tools.
• Identify systemic sources of toil and lead efforts to eliminate them through automation, AI agents, tooling, and process improvement.
• Establish the conditions for AI agents to operate reliably, including repository context, well-specified tasks, integrations such as MCP servers, and the tests and guardrails needed to trust AI-authored changes.
• Drive cross-team collaboration on reliability initiatives, mentor engineers on SRE practices, and advise senior leadership during critical customer escalations.

Requirements

• At least 5 years of experience in software engineering, SRE, or production operations roles.
• Strong production troubleshooting skills across the stack, using tools such as profilers, heap and thread dumps, query plans, traces, logs, and metrics to diagnose issues from first principles.
• Hands-on experience operating production services on AWS (EC2, S3, EKS, RDS/Aurora, CloudFront).
• Working knowledge of observability tooling such as Grafana, Prometheus, or LogicMonitor.
• Practical experience writing infrastructure as code and automation in a general-purpose language such as Python, Go, or Java to a production standard.
• Demonstrated judgement about applying AI across SRE work, including high-stakes areas like production access and sensitive data, and experience using agentic development tools such as Claude Code, Cursor, or GitHub Copilot.
• Experience working within an Agile development framework and producing documentation for varied audiences.

Benefits and work setup

• Fully remote role open to candidates based in and with the legal right to work in Poland.
• Occasional in-person collaboration at a nearby office for events that benefit from face-to-face work.
• Culture described as flexibility-oriented, trust-based, and supportive of work-life balance, with an emphasis on continuous learning and personal growth.