Senior Site Reliability Engineer - Apple Information Security

Summary

Imagine what you could accomplish here. Bring your passion, creativity, and dedication, and there will be no limit to what you can achieve. This is not just another SRE role — it’s a chance to help redefine how reliability engineering is practiced at hyper-scale. Our team is building the platforms that will autonomously operate Apple’s core information security systems, setting a new bar for how critical services are managed.

Description

We are seeking exceptional engineers who thrive at the intersection of reliability, software development and automation — individuals driven to push the boundaries of what’s possible. The ideal candidate has a strong foundation in modern SRE practices and a proven ability to design and implement software that solves operational challenges. You’ll break new ground using the most advanced tools and approaches available, developing automation that doesn’t just keep pace with scale but anticipates, reacts and stays ahead of it. You will work closely with Security Engineering, Threat Detection, Incident Response and other internal functions to ensure the scalability, availability and security of the tools and infrastructure that support Apple’s cybersecurity mission. Join us, and help build the future of self-managing systems at one of the most innovative companies in the world. Our team is highly collaborative, working closely with partner teams to deliver the best results for Apple. We strive to find the best solution while also considering the need to get things done efficiently for each engineering challenge we face. Good ideas are valued and rewarded.

Minimum Qualifications

Proven experience in Site Reliability Engineering or a related field Strong programming skills : Python, Go or Swift Experience working with cloud compute environments like AWS, GCP or Azure Experience with infrastructure as code (IaC), configuration management, CI/CD, and automation, e.g., Terraform, Pulumi, CloudFormation, Ansible, Chef, Puppet, Jenkins Cloud deployment and CI/CD problem diagnosis and troubleshooting

Preferred Qualifications

Experience or experimentation building systems that leverage Agentic AI principles, tools, platforms and frameworks Strong understanding and experience in implementing monitoring and observability tools like Splunk, Grafana, Prometheus Building and operating container orchestrating systems (Docker, Kubernetes, Vagrant and micro-services) Experience administering and troubleshooting Linux systems including the usage of standard Linux utilities Experience in shell scripting (e.g., bash/zsh) and system administration Experience with measuring, analyzing, and optimizing system performance Passion for high-quality code, tests, documentation and production services Participation in an on-call rotation Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience