{"id":2746470,"url":"https://alion.io/job/apple-senior-site-reliability-engineer-apple-data-platform-sre-apple-services-engineering-2","title":"Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":95,"open_postings":497,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":191,"computed_at":"2026-10-20T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":193000,"max_usd":368000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1716},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"GCP","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"AWS","optional":true},{"name":"Helm","optional":true},{"name":"Spinnaker","optional":true}],"status":"live","first_seen_at":"2026-07-28T23:50:13Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-20T15:30:45Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"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 efficient at scale.\nDescription\nWe 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:\nStrong critical thinking and a high degree of individual accountability\nEffective communication and collaboration skills\nA genuine passion for Infrastructure as a Service (IaaS)\nA commitment to automation and operational efficiency\nOwnership of projects from design through delivery\nA solutions-oriented approach, coupled with the ability to gain alignment on technical direction\nConsistent and timely execution of design implementations aligned with project objectives\nThe ability to provide constructive technical feedback, fostering team-wide growth and continuous improvement\nMinimum Qualifications\n5+ years experience in building, operating and scaling a large application in a\nprivate, public or hybrid cloud environment\nDeep expertise in Kubernetes, with hands-on experience using platforms such\nas Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service\n(EKS)\nProficient in designing, developing, and releasing code in languages such as\nPython, Go, or Rust\nPractical experience with object storage technologies, including Amazon S3\nor Google Cloud Storage (GCS)\nStrong background in designing and troubleshooting complex networking\nissues in both public and private cloud infrastructures\nSolid understanding of Linux internals, standard networking protocols, and\ndistributed systems architecture\nPreferred Qualifications\nPreferred Qualifications\nProven drive to automate manual operations and enhance processes through\ncontinuous iteration\nStrong understanding of best practices for deploying large-scale, distributed\napplications\nHands-on experience managing diverse system environments using\nconfiguration management tools or software delivery platforms such as\nSpinnaker, Helm, or Flux\nDemonstrated expertise in deploying, supporting, and monitoring both new\nand existing services, platforms, and application stacks\nSolid familiarity with container orchestration and management 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