The Synthetic Data Group Cloud Infrastructure team at Apple is focused on building secure, high-performance cloud services to support machine learning and synthetic data initiatives. This role involves architecting and developing the cloud infrastructure for Apple's Machine Learning and Synthetic Data Platform. The position requires tackling complex distributed system challenges while ensuring security and reliability. Collaboration with machine learning engineers and data scientists is essential to integrate new algorithms and data sources into the platform.

• BS and a minimum of 10 years relevant industry experience
• 5+ years of software engineering experience building and operating cloud infrastructure or distributed systems at scale
• Hands-on experience with AWS services including EC2, EKS, S3, ELB and SQS
• Experience with Kubernetes-based container orchestration and production operations
• Proficiency with Infrastructure-as-Code tools such as Terraform
• Strong programming skills in Go (Golang) for systems and service development
• Proficiency in at least one additional language used for full-stack services development (JavaScript, Python)
• Experience designing and building microservices-based architectures in production
• Experience with relational databases (e.g., Postgres) and NoSQL datastores in production environments
• Demonstrated ability to use a quantitative approach to architect and develop robust, secure, high-performance cloud services
• Track record of influencing cross-functional architects and high-performance teams to define architecture
• Exposure to Agile development methodologies
• Experience designing and building applications using container and serverless technologies
• Good exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC), Continuous Integration, and automated deployment
• Experience with CI tools (e.g., Jenkins)
• Strong practical application development experience on Linux systems
• Excellent communication and collaboration skills
• Experience with film and game development pipelines (plus)

• Architect and develop the cloud infrastructure powering Apple's Machine Learning and Synthetic Data Platform
• Design scalable services and pipelines to process and manage large volumes of data
• Collaborate closely with machine learning engineers, data scientists, and other engineering teams
• Implement back-end services and deploy infrastructure as code
• Drive for clean, maintainable designs and use data-driven insights to improve performance and scalability
• Mentor other engineers and set technical direction
• Explore alternative technologies and prototype new solutions

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.