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# Sr. DevOps Engineer, Info Apps

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Bash Shell, Cloud Computing, Continuous Integration, Data Infrastructure, Software Debugging, Linux, DevOps, Distributed Systems, Domain Name System (DNS), Gradle, Groovy, Hypertext Transfer Protocols (HTTP), Python (Programming Language), PostgreSQL, Machine Learning, Apache Maven, Octopus Deploy, Redis, Shell Script, Amazon Simple Notification Service (SNS), Apache Solr, TCP/IP, Web Services, Pulumi, Scripting, Load Balancing, Computer Network Technologies, Amazon ElastiCache, Istio, System Availability, Concurrency, Generative AI, Backend, Git, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Cassandra, Apache Kafka, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Jenkins, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-devops-engineer-info-apps-cupertino-ca--6cc5a1b3-1f4b-4541-a6f7-e18f9a0b2d66

## About the Role

DevOps, Git, High Availability, Concurrency, Machine Tool, Load Balancing, Product Engineering, Cloud Computing, Automation, Apple, infrastructure health and contribute to operational support, ensuring high availability for consumer-facing products with millions of active users Evaluate and help adopt new cloud technologies and platform strategies as the team expands beyond current environments3+ 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 conditionsFamiliarity 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

## Description

support, giving you deep hands-on ownership across the full software delivery lifecycle.Design, build, and continuously improve CI/CD pipelines using Jenkins, ArgoCD, and GitOps principles to accelerate delivery across News, Stocks, Weather, and Apple Creator Studio Manage and scale large Kubernetes deployments on EKS and on-premises clusters, handling provisioning, upgrades, and complex troubleshooting Develop custom internal tooling and automation scripts in Python, Bash, Groovy or Java to measurably improve developer productivity and deployment reliability Architect and maintain Infrastructure as Code solutions using Terraform and/or Pulumi across AWS and Apple-managed environments Leverage AWS services including EKS, S3, ElastiCache, SNS/SQS, and SageMaker to support scalable, distributed backend systems Partner with engineering and SRE teams to define deployment standards, drive software version upgrades, and resolve system and application issues across environments Monitor