DevOps Engineer - Info Apps

Role Number: 200636370-0836

Summary

The Apple Info Apps team is looking for a DevOps Engineer to drive the evolution of our CI/CD pipelines, infrastructure automation, and developer tooling. You will support large engineering teams and provide operational support for large-scale backend systems deployed across hybrid cloud environments like Kubernetes on AWS, GCP, and on-premise infrastructure. You will enjoy using technology to automate solutions and optimize outcomes, building robust internal productivity tools in Python, optimizing build systems for Java and Python applications, and providing expert support for development environments. We're also exploring how Generative AI can enhance our tool creation, build processes, and CI/CD pipelines. If you're passionate about automation, cloud-native technologies, operational excellence, and leveraging cutting-edge AI to transform software delivery, we encourage you to apply.

Description

The Apple Info Apps DevOps team provides the cloud-based infrastructure for multiple backend production systems that enable Apple News, Stocks, and Weather to serve millions of customers every day. Our team paves the way for engineering teams to iterate and roll out new features. As a DevOps Engineer, you'll play a pivotal role in designing, implementing, and maintaining this critical infrastructure and automation. You will enhance our CI/CD capabilities, manage Kubernetes deployments across multi-cloud and on-prem environments, and develop custom tools to boost developer efficiency. You'll also explore and integrate Generative AI to optimize our processes. This hands-on role requires deep technical expertise, proactive problem-solving, and a commitment to operational stability. As a member of our dynamic group, you’ll have the rare and rewarding opportunity to engage with multiple teams, applications and services that will delight and inspire millions of Apple’s customers every day. You’ll be behind the scenes as an integral part of the team that makes it all possible.

Minimum Qualifications

• At least 3+ years of hands-on experience in DevOps, infrastructure-focused, or software engineering roles

• Advanced scripting proficiency in Python, Bash, Groovy, or GoLang for automation and tool development

• Experience managing cloud platforms (AWS, GCP) including compute, networking, and storage services

• Expert-level proficiency with Kubernetes and container orchestration (EKS, GKE) for deployment, management, and troubleshooting

• In-depth knowledge of CI/CD systems (ArgoCD, Jenkins, Gradle/Maven) and advanced Git/GitOps experience

• Experience with Infrastructure as Code solutions (Pulumi, Terraform, CloudFormation)

• Strong problem-solving skills, ability to learn rapidly, and capacity to debug complex distributed systems

• Solid understanding of Linux operating systems, networking concepts (TCP/IP, DNS, load balancing), and shell scripting

• Bachelor’s degree required in Computer Science, or a related subject area, or we may consider an equivalent industry experience.

Preferred Qualifications

• Familiarity with Generative AI concepts and experience supporting AI/ML development environments and model operationalization

• Experience maintaining and debugging Spring-based Java runtime environments is a plus

• Experience with modern web services architectures is a plus

• Experience with Cassandra, Kafka, Solr, Postgres, Redis is a plus