Apple

DevOps Engineer

Apple Beijing, Beijing, China

Computers and Electronics Manufacturing · 10,001+ employees

7 h ago
devops Mid (2-5 yrs) Full-time China
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About the role

The DevOps Engineer is responsible for supporting and enhancing on-premises infrastructure through automation, CI/CD, and infrastructure management. They will partner with development and architecture teams to improve system reliability, operational efficiency, and deployment processes.

What they look for

Linux CI/CD Python Git Ansible Docker Jenkins Maven Networking Observability Prometheus Grafana Splunk Infrastructure as Code GitOps Automation

Requirements

Candidates must have 4+ years of experience in DevOps supporting Linux-based on-premise environments and proficiency in Python and Git. A bachelor's degree in Computer Science or equivalent work experience is required.

Full description

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.

Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer — bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep.

Description

DevOps Engineer is responsible for supporting and enhancing our on-premises infrastructure through automation, continuous integration and delivery (CI/CD), and infrastructure management. This role partners closely with development, Architects, and infrastructure teams to improve system reliability, operational efficiency, and deployment processes. The ideal candidate is self-motivated, proactive, and takes ownership of delivering secure, scalable, resillient, and maintainable solutions while continuously identifying opportunities for process improvement.

Minimum Qualifications

4+ years of experience in DevOps supporting Linux-based on-premise environments. Strong experience administering Linux operating systems. Experience building and maintaining CI/CD pipelines. Proficiency with Git and Git-based workflows. Proficiency in scripting languages such as Python Bachelor's degree in Computer Science or work related experience

Preferred Qualifications

Experience with source control management using Git, including branching, merging, pull requests, and release versioning. Experience building and maintaining end-to-end CI/CD and GitOps workflows using tools such as Git, Maven, Jenkins, Docker. Experience building Infrastructure as Code (IaC) using Ansible, and enterprise platform CLIs and SDKs for infrastructure provisioning and lifecycle management. Hands-on experience using Python to automate routine Operational tasks. Solid understanding of networking concepts, including DNS, TCP/IP, VLANs, load balancing, firewalls, and SSL/TLS. Experience with observability tools, including monitoring (Prometheus, Grafana), logging (Splunk), and alerting/incident management (Alertmanager, PagerDuty). Hands-on experience with Docker and container-based application deployment in enterprise on-premises environments is a plus. Stay current with emerging AI/ML technologies and apply relevant solutions to improve delivery velocity, automation, observability, security, scalability, and operational efficiency. Experience with Kafka, VectorDB, RDMBS and NoSQL (MongoDB, Cassandra and/or Oracle) is a Huge Plus. Strong analytical and problem-solving skills with a methodical approach to troubleshooting. Adaptable to changing priorities and evolving business requirements.

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