Cloud Infrastructure Engineer

The Synthetic Data Group (SDG) Cloud Infrastructure team at Apple is responsible for building the next generation of secure high-performance cloud services to support machine learning/GenAI and synthetic data initiatives. We are a multi-functional team solving challenging engineering problems across distributed systems large-scale data infrastructure and cloud services.

In this role you will architect and develop the cloud infrastructure powering Apples Machine Learning and Synthetic Data Platform. You will design scalable services and pipelines to process and manage large volumes of data enabling cutting-edge ML applications. This role involves tackling complex distributed system challenges from optimizing data storage andnretrieval to ensuring low-latency high-throughput computations all while maintaining world-class security and reliability. You will collaborate closely with machine learning engineers data scientists and other engineering teams to integrate new algorithms and data sources into our platform. Your work will involve full-stack ownership of cloud services: from defining system architecture and APIs to implementing back-end services and deploying infrastructure as code. We use a broad range of technologies including AWS services Kubernetes Terraform Golang and modern databases. We value simplicity and rigor: you will drive for clean maintainable designs and use data-driven insights to continuously improve performance and scalability. You will also mentor other engineers and play a key role in setting technical direction. Youll have the opportunity to innovate exploring alternative technologies prototyping new solutions and influencing product direction to better serve our internal customers. If you are excited by the prospect of building critical cloud infrastructure for AI/ML at a large scale this role will allow you to do the best work of your life at Apple.

Architect build and operate secure scalable cloud infrastructure and services supporting ML and synthetic data platformsnDesign and implement microservices and APIs from system design through production deployment and operationsnBuild and optimize data storage messaging and service-to-service communication patterns for high throughput and low latency (e.g. S3 Postgres SQS)nDevelop and maintain Infrastructure-as-Code (Terraform Helm Charts Kubernetes Manifest) and automation for reliable repeatable environmentsnApply quantitative approaches (modeling iterative prototyping analysis tooling) to optimize performance cost and reliability while meeting demanding experience goalsnDrive cross-functional architecture alignment; influence partner teams and senior technical stakeholders through design reviews and technical proposalsnMentor engineers and establish engineering best practices for robustness security testing and operational excellencenParticipate in Agile development workflows and contribute to continuous improvement across planning execution and delivery

BS and a minimum of 10 years relevant industry experiencen5 years of software engineering experience building and operating cloud infrastructure or distributed systems at scalenHands-on experience with AWS services including EC2 EKS S3 ELB and SQSnExperience with Kubernetes-based container orchestration and production operationsnProficiency with Infrastructure-as-Code tools such as TerraformnStrong programming skills in Go (Golang) for systems and service developmentnProficiency in at least one additional language used for full-stack services development (JavaScript Python)nExperience designing and building microservices-based architectures in productionnExperience with relational databases (e.g. Postgres) and NoSQL datastores in production environmentsnDemonstrated ability to use a quantitative approach to architect and develop robust secure high-performance cloud services (modeling iterative prototyping analysis tools)nTrack record of influencing cross-functional architects and high-performance teams to define architecturenExposure to Agile development methodologies

Experience designing and building applications using container and serverless technologiesnGood exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC) Continuous Integration and automated deploymentnExperience with CI tools (e.g. Jenkins)nStrong practical application development experience on Linux systemsnExcellent communication and collaboration skillsnExperience with film and game development pipelines (plus)