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Description
This role owns the end-to-end asset integration pipeline that moves assets from client teams to server nodes across Apple data centers. You will lead the transition from a repository-based workflow to microservices and RESTful APIs, own package builds and build-team automation, provide storage endpoints, and maintain the dashboards and alerts that keep the pipeline healthy. You will partner with client teams building on Large Language Models, so you need working fluency in ML concepts.The ideal candidate is a systems thinker who can navigate fast-moving requirements while maintaining a long-term vision for resilient and scalable solutions.
Minimum Qualifications
7+ years of software engineering experience in building and operating production systemsExpert-level proficiency with programming languages such as Python or Java with production web services and RESTful API designExperience designing and operating microservices, including services that run across multiple data centers, with the ability to reason about scale, concurrency, and failure modesProven experience designing and implementing internal tools, automation, and service-level componentsFoundational understanding of machine learning and LLM concepts sufficient to work effectively with client teamsAbility to collaborate closely across teams and influence decisions through clarity, empathy, and technical depthComfortable working in dynamic, fast-changing environments where you help create structure, not wait for itExperience building monitoring dashboards and alerting for services you ownBachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or related field
Preferred Qualifications
Working familiarity with containerization (Docker)Experience with artifact registries, package managers, or object storagePrior experience migrating a legacy workflow to a service-oriented architectureProficiency in complementary languages (C/C++, Shell, SQL)
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