Sr. DevOps Engineer

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.
Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Description

Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers. The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.

Minimum Qualifications

9-13 years of experience in DevOps, Site Reliability Engineering, or Systems Engineering roles.
Strong expertise in Kubernetes (scaling, performance tuning, troubleshooting at scale).
Proven experience with AWS services (EC2, S3, RDS, EKS, IAM, VPC networking).
Strong programming and scripting in Python (automation, tooling, infrastructure pipelines).
Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or equivalent).

Preferred Qualifications

In-depth knowledge of Linux systems administration including performance optimization.
Solid background with Infrastructure as Code (Terraform, Ansible)
Strong understanding of networking (DNS, TCP/IP, Load Balancing, Firewalls, VPNs)
Hands-on experience designing and implementing observability frameworks (Prometheus, Grafana, ELK, Splunk, Datadog)
Excellent problem-solving and cross-team collaboration skills.
Experience with multi-cloud or hybrid cloud deployments.
Exposure to serverless architectures (AWS Lambda, API Gateway).
Familiarity with container security and supply chain security best practices.
Experience with AI-driven automation for infrastructure (predictive scaling, anomaly detection, self-healing systems).
Strong leadership skills with ability to mentor and guide junior engineers.