Job Details

Weekly Hours: 40

Role Number: 200646169-3543

Summary

Do you love building and scaling infrastructure that delights millions of customers? At Apple, we believe reliability is a feature. We are looking for a Site Reliability Engineer to join our team in overseeing the performance and availability of our core backend services in News, Stocks, Weather, Books and Creator Studio applications.

Description

As a SRE, you won’t just be responding to alerts; you will be shaping the evolution of our observability strategy, a mentor for incident management, and a champion for automation. You will help us refine our "Golden Signals" and ensure our Kubernetes-based ecosystem remains world-class.

Minimum Qualifications

• Experience: 5+ years in SRE, DevOps, or Infrastructure roles with a proven track record of managing high-traffic, internet-facing production environments.

• Kubernetes Expertise: Deep experience building and operating container orchestration systems (EKS/GKE/Vanilla K8s). You should be comfortable troubleshooting from the networking layer up to the application pod.

• Observability Champion: Expert knowledge of the 4 Golden Signals (Latency, Traffic, Errors, and Saturation). Proficiency with tools like Prometheus, Grafana, and Splunk is essential.

• Cloud Proficiency: Hands-on experience designing and maintaining resilient infrastructure on public cloud providers (AWS, GCP, or Azure).

• Scripting & Automation: Strong ability to code at a scripting level (Python or Go preferred) to automate toil and build self-healing systems.

• Incident Leadership: Experience leading incident response, performing Root Cause Analysis (RCA), and implementing blameless post-mortems to improve system resilience.

• Infrastructure as Code: Proficient in Terraform, CloudFormation, or Pulumi to manage immutable infrastructure.

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)

Preferred Qualifications

• Search & Data: Specialized experience operating and tuning Solr or Elasticsearch at scale.

• Networking: Strong understanding of TCP/IP, Load Balancing (ELB/ALB), and Service Mesh (Istio/Linkerd).

• Data Systems: Experience with Kafka, Cassandra, or Postgres in a distributed environment.