Site Reliability Engineer, Apple Data Platform

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
56 days ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $185k
$134k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $143,812–$226,600.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer, Apple Data Platform

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As a Site Reliability Engineer (SRE) at Apple Services Engineering, you will join the Data Platform team responsible for managing large-scale infrastructure and applications on bare-metal and cloud platforms. Your primary focus will be ensuring seamless data processing, governance, and storage for global products like Apple Music, TV, Maps, and News. You will collaborate closely with software developers to maintain high availability and performance across geographically distributed data centers. Key responsibilities include solving complex problems using empirical data, improving open-source and proprietary tools, and implementing consistent incident management processes. The role requires proficiency in Go, Python, or Java, experience with Kubernetes, and a deep understanding of Linux, containers, virtualization, and networking protocols. You will work on planetary-scale systems, applying long-term optimal solutions while balancing business priorities.

Skills

Kubernetes AWS GCP Ali Cloud Python Go Java Terraform CI/CD Prometheus Grafana PostgreSQL Hadoop HDFS Flink Hive Trino Druid Linux Docker

What you'll do

  • Solve complex problems using empirical data and teamwork for Apple's global services infrastructure.
  • Manage and improve a mix of open source, vendor licensed, and proprietary tools in large-scale environments.
  • Ensure consistent incident management and user journey-based SLOs through exhaustive observability metrics and automation.
  • Collaborate with partner engineering teams to deliver seamless customer experiences across various platforms.
  • Balance long-term optimal solutions with business priorities while operating production applications at scale.

What we're looking for

  • BS/MS in Computer Science or Equivalent
  • 5+ years of software development or production operations experience in a large-scale environment
  • Proficiency in Go, Python, or Java for code authoring and releasing using configuration management platforms
  • Experience operating production applications at scale with performance testing, HA concepts, capacity planning, and managing distributed systems on Kubernetes
  • Understanding of Linux OS, containers, virtualization, standard networking protocols, and components
  • Strong troubleshooting skills and a scientific approach to problem-solving
  • Demonstrated ownership and integrity through clear communication and collaboration

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