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About the Role

Operate as a technical owner in a highly collaborative environment, balancing rapid execution with technical excellence. Independently drive initiatives from concept to production, gain deep exposure to cutting-edge cloud architectures and modern tooling, and directly shape the technical direction of the team.

Responsibilities

• Build and operate systems and experiences that connect Apple's products with its customers.
• Own the technology behind both Apple's online and physical stores.
• Drive interactive marketing experiences and tools that keep creative operations moving.
• Deliver the technology behind every product story Apple tells and every purchase a customer makes.
• Build and extend Kubernetes ecosystems (custom controllers, operators, admission webhooks, or cloud-native tooling).
• Build full-stack internal tools, integrating modern frontends (Vue, React, or Svelte) with Go or Python backends and APIs.
• Operate infrastructure on AWS, GCP, and/or Azure.
• Use Infrastructure as Code tools such as Terraform, Pulumi, and Helm.
• Build and maintain CI/CD pipelines.
• Utilize AI-assisted or AI-infused automation in DevOps workflows (e.g., using LLM-based tools, copilots, or intelligent agents for scripting, incident triage, or pipeline optimization).
• Use Splunk, Prometheus, and Grafana.
• Independently own complex systems or initiatives from start to finish.
• Design Kubernetes ecosystems.
• Architect and operate multi-region, high-availability infrastructure across AWS, GCP, and Azure.
• Manage cloud cost, resilience, and scaling strategy.
• Scope ambiguous problems, propose architecture, execute, and be accountable for outcomes.
• Architect and deliver full-stack internal tools, owning the system from design through production.
• Design reusable IaC modules and adopt organizational-level IaC standards.
• Own build/release systems and CI/CD pipelines at scale.
• Improve CI/CD pipeline reliability and reduce release friction.
• Design and build AI-powered automation for DevOps, including LLM-powered runbooks, autonomous remediation agents, anomaly detection pipelines, and AI-assisted code/infra review tools.
• Drive team adoption of AI-powered automation.

Requirements

• 5 years of hands-on experience in infrastructure engineering, DevOps, or software engineering.
• Solid coding skills in Go, or Python.
• Experience building full-stack internal tools.
• Experience operating infrastructure on AWS, GCP, and/or Azure.
• Experience with Infrastructure as Code tools such as Terraform, Pulumi, and Helm.
• Experience building and maintaining CI/CD pipelines.
• Exposure to AI-assisted or AI-infused automation in DevOps workflows.
• Hands-on experience with Splunk, Prometheus, and Grafana.
• BS or MS in Engineering, Computer Science, or equivalent education/experience.
• 8 years of hands-on experience in infrastructure, DevOps, or software engineering.
• Proven track record of independently owning complex systems or initiatives from start to finish.
• Expert in writing idiomatic, production-grade Go or Python.
• Extensive experience architecting and operating multi-region, high-availability infrastructure across AWS, GCP, and Azure.
• Proven ability to operate with minimal direction.
• Proven experience architecting and delivering full-stack internal tools.
• Proven experience in Terraform, Pulumi, and Helm.
• Proven ownership of build/release systems and CI/CD pipelines at scale.
• Hands-on experience designing and building AI-powered automation for DevOps.
• Proven track record of team adoption of AI-powered automation.

Skills

• Go
• Python
• Kubernetes
• Vue
• React
• Svelte
• AWS
• GCP
• Azure
• Terraform
• Pulumi
• Helm
• CI/CD
• AI-assisted automation
• AI-infused automation
• LLM-based tools
• Copilots
• Intelligent agents
• Splunk
• Prometheus
• Grafana
• Infrastructure engineering
• DevOps
• Software engineering
• Full-stack development
• Cloud architecture
• Modern tooling
• Infrastructure as Code (IaC)
• Build/release systems
• AI-powered automation
• Autonomous remediation agents
• Anomaly detection pipelines
• AI-assisted code review
• AI-assisted infra review

Location

• Remote

Work Type

• Full-time

Experience Level

• 5 years of hands-on experience
• 8 years of hands-on experience

Education Level

• BS or MS in Engineering, Computer Science, or equivalent education/experience

About the Company

• Apple’s Information Systems and Technology (IS&T) organization is the engine behind everything Apple does for customers and for the people who build for them.
• IS&T is 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.
• Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers.
• The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving.
• Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.