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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon S3, Data Analysis, Computing Platforms, Systems Engineering, Data Infrastructure, Distributed Systems, Infrastructure as a Service (IaaS), Python (Programming Language), Network Troubleshooting, Linux Kernel, Machine Learning, Network Architecture, Network Protocols, Open Source Technology, Reliability Engineering, Spinnaker, Multi-Cloud, HybridCloud, AWS ECS, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies, Machine Learning Operations - **Published:** October 18, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-site-reliability-engineer-apple-data-platform-sre-apple-services-engineering-cupertino-ca--2f6e5e25-52e8-45cb-a48c-049c110bd24f ## About the Role nodes to the complete network architecture - ensuring our platform remains highly available, resilient, and ecient at scale. We are seeking an experienced Software and Systems Engineer to join our dynamic team. This role demands a proactive mindset, technical excellence, and a collaborative spirit. The ideal candidate will demonstrate: * Strong critical thinking and a high degree of individual accountability * Eective communication and collaboration skills * A genuine passion for Infrastructure as a Service (IaaS) * A commitment to automation and operational eciency * Ownership of projects from design through delivery * A solutions-oriented approach, coupled with the ability to gain alignment on technical direction * Consistent and timely execution of design implementations aligned with project objectives * The ability to provide constructive technical feedback, fostering team-wide growth and continuous improvementParticipates in a rotating on-call schedule, including occasional weekend coverage when necessary Currently headquartered in Cupertino, with active expansion in Bangalore to support global operations across time zones Leverages a diverse stack including open-source tools, commercial solutions, and internally developed systems Encourages open dialogue, values strong ideas, and recognizes impactful results5+ years experience in building, operating and scaling a large application in a private, public or hybrid cloud environment Deep expertise in Kubernetes, with hands-on experience using platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS) Proficient in designing, developing, and releasing code in languages such as Python, Go, or Rust Practical experience with object storage technologies, including Amazon S3 or Google Cloud Storage (GCS) Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures Solid understanding of Linux internals, standard networking protocols, and distributed systems architecturePreferred Qualifications Proven drive to automate manual operations and enhance processes through continuous iteration Strong understanding of best practices for deploying large-scale, distributed applications Hands-on experience managing diverse system environments using configuration management tools or software delivery platforms such as Spinnaker, Helm, or Flux Demonstrated expertise in deploying, supporting, and monitoring both new and existing services, platforms, and application stacks Solid familiarity with container orchestration and management using Kubernetes ## Description At Apple, we don't just build products - we create transformative experiences that have reshaped entire industries. Our innovation is driven by the diversity of our people and their ideas, inspiring everything we do. Imagine the impact you could make. Join Apple and help us leave the world better than we found it. The ML Infrastructure team is responsible for managing Apple's largest ML compute platform, multi-cloud storage abstraction and caching platform, which supports critical machine learning training workloads that power user-facing features across the Apple ecosystem. Operating across both first-party and third-party cloud environments brings complex and unique challenges. As a Site Reliability Engineer (SRE) on the ML Infrastructure team, you'll be expected to address these challenges through a strong foundation in cloud object storage, data analysis, automation, collaboration, and advanced expertise in Kubernetes. Our team oversees the full infrastructure stack - from low-level nodes to the complete network architecture - ensuring our platform remains highly available, resilient, and ecient at scale. We are seeking an experienced Software and Systems Engineer to join our dynamic team. This role demands a proactive mindset, technical excellence, and a collaborative spirit. The ideal candidate will demonstrate: * Strong critical thinking and a high degree of individual accountability * Eective communication and collaboration skills * A genuine passion for Infrastructure as a Service (IaaS) * A commitment to automation and operational eciency * Ownership of projects from design through delivery * A solutions-oriented approach, coupled with the ability to gain alignment on technical direction * Consistent and timely execution of design implementations aligned with project objectives * The ability to provide constructive technical feedback, fostering team-wide growth and continuous improvementParticipates in a rotating on-call schedule, including occasional weekend coverage when necessary Currently headquartered in Cupertino, with active expansion in Bangalore to support global operations across time zones Leverages a diverse stack including open-source tools, commercial solutions, and internally developed systems Encourages open dialogue, values strong ideas, and recognizes impactful results5+ years experience in building, operating and scaling a large application in a private, public or hybrid cloud environment Deep expertise in Kubernetes, with hands-on experience using platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS) Proficient in designing, developing, and releasing code in languages such as Python, Go, or Rust Practical experience with object storage technologies, including Amazon S3 or Google Cloud Storage (GCS) Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures Solid understanding of Linux internals, standard networking protocols, and distributed systems architecturePreferred Qualifications Proven drive to automate manual operations and enhance processes through continuous iteration Strong understanding of best practices for deploying large-scale, distributed applications Hands-on experience managing diverse system environments using configuration management tools or software delivery platforms such as Spinnaker, Helm, or Flux Demonstrated expertise in deploying, supporting, and monitoring both new and existing services, platforms, and application stacks Solid familiarity with container orchestration and management using Kubernetes