DevOps Engineer, Info Apps

Apple Inc.

Cupertino, CA, United States

20 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.techcareers.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Bash Shell Continuous Integration Data Infrastructure Software Debugging Linux DevOps Programming Tools Distributed Systems Domain Name System (DNS)

+34 more

Gradle Groovy Hypertext Transfer Protocols (HTTP) Python (Programming Language) PostgreSQL Apache Maven Octopus Deploy Systems Development Life Cycle Redis Shell Script Apache Solr TCP/IP Web Services Pulumi Load Balancing Computer Network Technologies Istio Multi-Cloud Generative AI HybridCloud Siri Backend Git Cloudformation Git Flow Kubernetes Infrastructure Automation Frameworks Deployment Automation Cassandra Apache Kafka Restful APIs Terraform Jenkins Microservices

Job 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.

Requirements

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, * 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