DevOps Engineer - Info Apps

Cupertino, California, United States Software and Services

The Apple Info Apps team is looking for a Dev Ops 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.

The Apple Info Apps Dev Ops 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 Dev Ops 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.

• Hybrid Cloud Architecture :
  Lead and architect our growing hybrid cloud footprint, ensuring scalability, reliability, and cost-effectiveness across AWS, GCP and on-premise environments.
• CI/CD Pipeline Optimization:
  Design, implement, and optimize robust and scalable CI/CD pipelines for Java (Spring Boot) and Python applications, leveraging Enterprise Git Hub, ArgoCD, Jenkins, and other build/release tools.
• Infrastructure & Kubernetes Orchestration:
  Develop Infrastructure as Code solutions using Pulumi, Terraform, or Cloud Formation. Manage and optimize Kubernetes clusters (EKS, GCP, on-prem) with security best practices integrated throughout.
• Developer Productivity & AI Integration:
  Architect and develop Python-based tools and scripts to enhance developer workflows and enable teams to work egrate Generative AI capabilities into development tooling and pipelines, including support for AI IDEs and model operationalization.
• Runtime & Framework Support:
  Support and optimize Java (Spring-based) and Python runtime environments for build, deployment, and delivery processes.
• Collaboration:
  
  Partner with engineering, quality, and management teams to provide technical guidance and leadership. Mentor team members and drive knowledge sharing across the organization.

• At least 3+ years of hands-on experience in Dev Ops, 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/Git Ops experience
• Experience with Infrastructure as Code solutions (Pulumi, Terraform, Cloud Formation)
• 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,…