Summary
Apple is a place where extraordinary people gather to do their best work. Together we build products and experiences people once couldn’t have envisioned and now can’t imagine living without. If you’re excited by the idea of making an impact, joining a team where we pride ourselves in being one of the most diverse and expansive companies in the world.
Marcom Product and Services keeps Apple.com, one of the most visited websites in the world, running seamlessly and at scale. We are the engineering team that partners with creatives, designers, and cross-functional stakeholders to bring Apple’s most iconic product launches, campaigns, and experiences to life.
Description
We are seeking an experienced and highly motivated Senior DevOps Engineer to play a pivotal role in designing, building, and maintaining resilient, scalable, and secure infrastructure. The ideal candidate will have deep expertise in Kubernetes, AWS, Linux, automation, and observability, with a proven track record of driving infrastructure improvements, mentoring peers, and collaborating across engineering teams.
Minimum Qualifications
- 10+ 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)
- In-depth knowledge of Linux systems administration including performance optimization
- Strong programming and scripting in Python (automation, tooling, infrastructure pipelines)
- Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or equivalent)
- 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
Preferred Qualifications
- 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.
