Senior Software Engineer, AI Inference Asset Delivery Platform - Jobs - Careers at Apple
- Design and build microservices and RESTful APIs for asset intake, packaging, storage, and distribution to server nodes across data centers.
- Lead the migration from repository-based asset management to a service-oriented architecture.
- Own package build pipelines and coordinate automation with build teams.
- Provide storage endpoints and clear onboarding paths for client teams.
- Build and maintain monitoring dashboards and alerting mechanisms for pipeline health.
- Develop internal tools (CLIs, microservice, automation pipelines, front end) to enhance developer experience.
- Drive architectural decisions for the asset delivery platform, prioritizing reliability, observability, and ease of adoption.
- Collaborate cross-functionally with product, security, and engineering teams, and with client teams, to understand asset requirements and align on technical direction.
- Provide technical mentorship, elevate engineering standards, and set API and design standards for the platform.
- Act as a systems thinker who can map how changes propagate across the platform, guiding teams toward resilient and future-proof approaches.
- Navigate rapidly changing requirements and adapt plans swiftly without compromising long-term objectives.
- 7+ years of software engineering experience in building and operating production systems
- Expert-level proficiency with programming languages such as Python or Java with production web services and RESTful API design
- Experience designing and operating microservices, including services that run across multiple data centers, with the ability to reason about scale, concurrency, and failure modes
- Proven experience designing and implementing internal tools, automation, and service-level components
- Foundational understanding of machine learning and LLM concepts sufficient to work effectively with client teams
- Ability to collaborate closely across teams and influence decisions through clarity, empathy, and technical depth
- Comfortable working in dynamic, fast-changing environments where you help create structure, not wait for it
- Experience building monitoring dashboards and alerting for services you own
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or related field
- Working familiarity with containerization (Docker)
- Experience with artifact registries, package managers, or object storage
- Prior experience migrating a legacy workflow to a service-oriented architecture
- Proficiency in complementary languages (C/C++, Shell, SQL)
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🇬🇧 English