Sr. DevOps Engineer, Info Apps
DevOps engineer on Apple's Info Apps team, building the CI/CD pipelines, infrastructure automation, and developer tooling behind Apple News, Stocks, and Weather at massive scale across hybrid cloud. Expect ~70% automation/tooling work with Kubernetes, AWS, GitOps, and IaC, plus 30% operational support.
- Compensation
- Not disclosed
- Location
- Cupertino
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 3+ years in a DevOps or infrastructure-focused engineering role, including large-scale systems (millions of concurrent users)
- Expert-level Kubernetes and container orchestration, including EKS or equivalent managed platforms
- Advanced scripting in Python, Bash, Groovy, or Java for automation and custom tooling
- Deep expertise in CI/CD systems (ArgoCD, Jenkins, Gradle/Maven) and advanced Git/GitOps workflows
- Proven experience managing cloud platforms (AWS and/or GCP): compute, networking, storage, managed services
- Hands-on Infrastructure as Code experience (Terraform, Pulumi, or CloudFormation)
- Solid understanding of Linux, shell scripting, and networking (TCP/IP, DNS, HTTP, load balancing)
- Ability to debug complex distributed systems and ambiguous infrastructure problems in production
Nice to have
- Familiarity with Generative AI concepts and supporting AI/ML environments or platforms such as SageMaker
- Experience maintaining and debugging Spring-based Java runtime environments
- Strong background in web services architectures: REST APIs, microservices, service mesh
- Proficiency with data infrastructure such as Cassandra, Kafka, Solr, Postgres, or Redis at large scale
- Track record of working with product engineering and SRE teams to define deployment standards
Full description
The Info Apps DevOps team provides the infrastructure backbone for Apple News, Stocks, Weather, and Apple Creator Studio, powering experiences used by millions of users worldwide and fueling capabilities like Siri AI's World Knowledge Answers. This team owns CI/CD pipelines, infrastructure automation, developer tooling, and operational support for large-scale backend systems deployed across hybrid cloud environments. Join us to shape how software is built, deployed, and scaled across some of Apple's most beloved consumer products.
In this role, you will design and build infrastructure that serves millions of concurrent users across multi-cloud and on-premises environments, with a primary focus on development tooling, deployment automation, and CI/CD pipeline improvements. You will partner closely with engineering and SRE teams to architect scalable solutions using Kubernetes, AWS, and GitOps workflows. Day-to-day work is roughly 70% automation and tooling development and 30% operational support, giving you deep hands-on ownership across the full software delivery lifecycle.
Minimum Qualifications
- 3+ years of experience in a DevOps or infrastructure-focused engineering role, including work on systems at large scale (millions of concurrent users)
- Expert-level proficiency with Kubernetes and container orchestration, including deployment, lifecycle management, and troubleshooting on EKS or equivalent managed Kubernetes platforms
- Advanced scripting skills in Python or Java , applied to automation workflows and custom tool development
- Deep expertise in CI/CD systems including ArgoCD, Jenkins, and Gradle/Maven, paired with advanced Git and GitOps workflow experience
- Proven experience managing cloud platforms (AWS and/or GCP), covering compute, networking, storage, and managed services
- Hands-on experience with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation to manage resources and build reusable abstractions
- Solid understanding of Linux operating systems, shell scripting, and core networking concepts including TCP/IP, DNS, HTTP, and load balancing
- Demonstrated ability to debug complex distributed systems and solve ambiguous infrastructure problems under production conditions
- Bachelors degree in a related field or we may consider an equivalent experience
Preferred Qualifications
- Familiarity with Generative AI concepts and experience supporting AI/ML development environments, model operationalization, or platforms such as SageMaker
- Experience maintaining and debugging Spring-based Java runtime environments in a DevOps or platform engineering context
- Strong background in modern web services architectures including REST APIs, microservices, and service mesh patterns