Sr DevOps Engineer, Retail and Marcom Engineering

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apples Information Systems and Technology (ISu0026T) organization. ISu0026T is the engine behind everything Apple does for customers and for the people who build for them. Its Apples 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 ISu0026T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale Imagine what you could do and Marcom Engineering an ISu0026T team builds and operates the systems and experiences that connect Apples products with its customers. The team owns the technology behind both Apples 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.

In this role you will operate as a technical owner within a highly collaborative environment that balances rapid execution with technical excellence. You will 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.

Independently architecting building and owning robust CI/CD pipelines and automation systems from design through long-term and leading development of secure Go automation full-stack internal tooling (integrating Vue React or Svelte UIs with Go services) Kubernetes resources and container images with security embedded at every the reliability scalability and performance of high-availability globally distributed cloud infrastructure powering Apple digital implementing and continuously improving observability and alerting strategy across services including defining SLOs/ technical standards and best practices and mentoring engineers on infrastructure design security and operational closely with development operational and security teams listening to feedback resolving complex technical trade-offs and driving to resolution with flawless independent security best practices across all environments leading hardening initiatives and maintaining clear comprehensive technical identifying systemic risks or inefficiencies and driving cross-team initiatives to resolve them without being asked.

5 years of hands-on experience in infrastructure engineering DevOps or software coding skills in Go or Python to build and extend Kubernetes ecosystems (custom controllers operators admission webhooks or cloud-native tooling).nExperience building full-stack internal tools integrating modern frontends (Vue React or Svelte) with Go or Python backends and operating infrastructure on AWS GCP and/or with Infrastructure as Code tools such as Terraform Pulumi and building and maintaining CI/CD to 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).nHands-on experience with Splunk Prometheus and or MS in Engineering Computer Science or equivalent education/experience.

8 years of hands-on experience in infrastructure DevOps or software engineering with a proven track record of independently owning complex systems or initiatives from start to in writing idiomatic production-grade Go or Python to build and extend Kubernetes ecosystems independently designing these experience architecting and operating multi-region high-availability infrastructure across AWS GCP and Azure with ownership of cloud cost resilience and scaling ability to operate with minimal direction: scoping ambiguous problems proposing architecture executing and being accountable for experience architecting and delivering full-stack internal tools owning the system from design through experience in Terraform Pulumi and Helm including designing reusable modules and adopting organizational-level IaC ownership of build/release systems and CI/CD pipelines at scale including designing pipeline architecture improving reliability and reducing release -on experience designing and building AI-powered automation for DevOps including LLM-powered runbooks autonomous remediation agents anomaly detection pipelines and AI-assisted code/infra review tools with a proven track record of team adoption.