Site Reliability Engineering Intern

Job Description:

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join the Apple Services Engineering team as a site reliability engineer to help support and scale cloud services for thousands of development and operations engineers. This is a hands-on role to maintain and enhance SRE practices for a private cloud service to accelerate our ability to reliably and consistently deliver thousands of applications.
As an Intern Site Reliability Engineer, you will be responsible for maintaining, monitoring, and improving the reliability, scalability, and performance of our infrastructure. You'll work closely with senior SREs, developers, and other engineers to ensure high availability of our Platform Services. This is a fantastic opportunity for someone eager to grow their expertise in Kubernetes and cloud-native technologies.
Internship open to candidates with a minimum of 2 years completed in Bachelor's Degree in Computer Science or an engineering related field. Basic understanding of Kubernetes architecture, including Pods, Deployments, Services, and ConfigMaps. Experience with languages like Java, Python, Swift and/or Go. Strong problem-solving skills and a willingness to learn new technologies. Great organizational and communications skills.
Ideally experience / exposure to Site Reliability Engineering, DevOps, or Platform Engineering focused role Automation advocate - you truly believe in removing operational load via software. Familiarity with Infrastructure as Code (IaC) tools like Puppet A strong sense of ownership. At the same time, you're a great teammate who communicates clearly and transparently - Self-motivated, inquisitive, and always looking to learn more. Experienced with highly distributed unix systems. Managing, scaling, and troubleshooting applications Familiarity with Linux systems administration and command-line tools. Awareness of cloud platforms (AWS, GCP, or Azure) and containerization. Knowledge of monitoring tools such as Prometheus, Grafana, or similar. Exposure to CI/CD pipelines and DevOps practices