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Apple

engineering opportunity

Sr DevOps Engineer, Retail and Marcom Engineering

You will operate as a technical owner, driving initiatives from concept to production while balancing rapid execution with technical excellence. You will shape the technical direction of the team by building and operating systems that support Apple's global retail and marketing infrastructure.

Austin, Texas, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

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. 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.

DESCRIPTION

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.
  • MINIMUM QUALIFICATIONS
  • 5 years of hands-on experience in infrastructure engineering, DevOps, or
  • software engineering. Solid coding skills in Go, or Python to build and extend
  • Kubernetes ecosystems (custom controllers, operators, admission webhooks, or
  • cloud-native tooling). Experience building full-stack internal tools,
  • integrating modern frontends (Vue, React, or Svelte) with Go or Python backends
  • and APIs. 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 (e.g., using LLM-based
  • tools, copilots, or intelligent agents for scripting, incident triage, or
  • pipeline optimization). Hands-on experience with Splunk, Prometheus, and
  • Grafana. BS or MS in Engineering, Computer Science, or equivalent
  • education/experience.
  • PREFERRED QUALIFICATIONS
  • 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 finish. Expert in writing idiomatic,
  • production-grade Go or Python to build and extend Kubernetes ecosystems,
  • independently designing these systems. Extensive experience architecting and
  • operating multi-region, high-availability infrastructure across AWS, GCP, and
  • Azure, with ownership of cloud cost, resilience, and scaling strategy. Proven
  • ability to operate with minimal direction: scoping ambiguous problems, proposing
  • architecture, executing, and being accountable for outcomes. Proven experience
  • architecting and delivering full-stack internal tools, owning the system from
  • design through production. Proven experience in Terraform, Pulumi, and Helm,
  • including designing reusable modules and adopting organizational-level IaC
  • standards. Proven ownership of build/release systems and CI/CD pipelines at
  • scale, including designing pipeline architecture, improving reliability, and
  • reducing release friction. Hands-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.

Which skills does this role require?

Infrastructure EngineeringSplunkPrometheusGrafanaCloud ArchitectureCloud-nativeVueReactSvelteAPIScalabilityEnterprise systemsRetail engineeringVue.jsLLMs

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