About the role

What will you do at Apple?

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.

DESCRIPTION

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, Bash, Groovy
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
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 Proficiency with data infrastructure components such as
Cassandra, Kafka, Solr, Postgres, or Redis in a large-scale backend environment
Track record of working closely with product engineering and SRE teams to define
and enforce deployment standards across multi-team organizations

Which skills does this role require?

KubernetesAWSPythonBashCI/CDArgoCDJenkinsTerraformGitOpsLinuxNetworkingInfrastructure as CodeDockerDistributed SystemsCloud ComputingAutomationGroovyGradleMavenGitPulumiCloudFormationTCP/IPDNSHTTPLoad BalancingPostgreSQLGCPMachine LearningLLMs

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