Senior Cloud Engineer - Special Projects

Apple's intelligent systems connect hardware, software, and services in ways that feel effortless and deeply personal. We're looking for an engineer who thrives at this intersection - someone who can design robust cloud infrastructure and services, build intelligent data pipelines, and turn complex, multi-modal data into clear and actionable insights.

You'll architect and operate the systems that power Apple's distributed AI experiences - from data pipelines processing large-scale device and server logs, to inference platforms hosting models for live and offline evaluation. Your work will help teams understand, optimize, and elevate the intelligence that drives Apple products.

Description

Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple's next generation of AI-driven experiences - from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end-to-end solutions that are performant, intuitive, and deeply integrated into Apple's ecosystem.

The work is hands-on, highly cross-disciplinary, and central to shaping how Apple's intelligent systems evolve.

Minimum Qualifications

Proven experience building distributed backend systems, web services, and data pipelines

Strong proficiency in one or more modern languages such as Python, Go, or Swift

Experience deploying, managing, and optimizing scalable cloud infrastructure on AWS, Google Cloud Platform, or other modern cloud platforms

Experience architecting and orchestrating resilient, distributed applications using Kubernetes or similar container orchestration frameworks

Deep understanding of cloud infrastructure, containerization, and CI/CD automation

Experience designing and operating ETL/ELT pipelines that transform diverse, large-scale data, including device telemetry, logs, or model outputs

Familiarity with data warehousing, SQL/No

SQL systems, and scalable storage architectures

Hands-on experience with data visualization, dash boarding, or metric evaluation frameworks

Strong focus on system reliability, observability, and performance tuning

Ability to collaborate effectively with hardware, user experience, AI, and robotics teams to shape system behavior end-to-end

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field, and 5+ years of industry experience

Preferred Qualifications

Experience with multi-modal data systems

Background in robotics or simulation pipelines

Familiarity with distributed computation frameworks for workflow orchestration and large-scale data processing

Understanding of model lifecycle management and inference serving architectures

Knowledge of observability tooling and best practices for cloud infrastructure

Strong intuition for data quality metrics, evaluation design, and experiment analysis