Sr DevOps Engineer, Retail and Marcom Engineering
- Austin, United States
Posted 6 days ago
About the role
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.","responsibilities":"Independently architecting, building, and owning robust CI/CD pipelines and automation systems, from design through long-term maintenance.
Designing 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 layer.
Owning the reliability, scalability, and performance of high-availability, globally distributed cloud infrastructure powering Apple digital properties.
Designing, implementing, and continuously improving observability and alerting strategy across services, including defining SLOs/SLIs.
Setting technical standards and best practices, and mentoring engineers on infrastructure design, security, and operational excellence.
Partnering closely with development, operational, and security teams, listening to feedback, resolving complex technical trade-offs, and driving to resolution with flawless, independent execution.
Championing security best practices across all environments, leading hardening initiatives, and maintaining clear, comprehensive technical documentation.
Proactively identifying systemic risks or inefficiencies and driving cross-team initiatives to resolve them without being asked.
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.
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.