Site Reliability Engineering, Radar Engineering

Do you want to have a significant impact on how work is done at Apple? Radar is used by
every major organization across Apple to help teams organize and track their work. As
Apple’s primary tool for defining, tracking, and testing issues, Radar has been used for
decades across various teams, including hardware and software engineering. It serves as a
unified platform for bug tracking, test case management, and product management, facilitating seamless coordination among team members. The Radar Engineering team at Apple seeks an early-career Site Reliability Engineer to help build and maintain the infrastructure that services Radar.

Description

As a Site Reliability Engineer for Radar, you will help keep Apple’s platform for product development, bug tracking, and work management available, fast, and healthy. Radar is a high-
traffic, business-critical system used by teams across all of Apple, and when it is down, engineering across the company feels it. Reliability is the job.

You will join a growing team distributed across California, Texas, and Ireland. In our highly
collaborative environment, you will work closely with a team of passionate builders to deliver
end-to-end features critical to Apple’s engineering workflows. You will receive structured
mentorship, comprehensive training in Apple’s development practices, and the support to
learn and develop your skills quickly.

You will monitor, troubleshoot, and improve the infrastructure behind a complex microservices ecosystem. You will respond to incidents, build alerting and dashboards, and learn how
a platform at this scale stays stable while it constantly evolves. As you ramp up, you will take
on increasing ownership of services, help drive root cause analysis, and automate away the
work that keeps the platform running.

Minimum Qualifications

Solid scripting or programming skills in Python, Bash, Java, or similar language.
Working knowledge of networking fundamentals.
Experience with version control (Git) and a working understanding of the software development lifecycle.

Preferred Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Exposure to monitoring and logging tools such as Splunk, Grafana, or Prometheus.
Exposure to cloud infrastructure, containers, or Kubernetes.
Familiarity with relational databases and SQL.
Interest or experience in agentic workflows, MCP integrations, or AI-assisted operations
tools.
Ability to triage problems, prioritize accordingly, and propose a resolution.