Site Reliability Engineer, Apple Data Platform

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 43 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$139k most similar roles pay here $263k

This listing doesn't post a salary. Most similar roles pay $172,000–$231,150.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer, Apple Data Platform

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Site Reliability Engineer, Apple Data Platform joins the Data Platform Site Reliability Engineering team to manage infrastructure and applications on bare-metal and cloud computing platforms. This role involves delivering data processing, governance, and storage for global products while ensuring high availability and performance across geographically distributed data centers. The engineer will collaborate with partner teams to implement consistent incident management processes, automate deployments, and establish user journey based SLOs derived from observability metrics. Key technical requirements include proficiency in Go, Python, or Java, along with experience in Kubernetes, Linux operating systems, containers, and standard networking protocols. Candidates should possess expertise in managing distributed systems, capacity planning, and disaster recovery. Preferred skills include experience with Flink, Hive, Hadoop/HDFS, Trino, Druid, and cloud providers such as AWS, GCP, and Ali Cloud to manage large-scale data analytics.

What does a Site Reliability Engineer earn?

Median $186200 from 131 postings across 36 companies.

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Skills

Kubernetes Go Python Java AWS GCP Ali Cloud Linux Flink Hive Hadoop HDFS Trino Druid Containers Virtualization Site Reliability Engineering Distributed Systems

What you'll do

Manage infrastructure and applications on bare-metal and cloud computing platforms for global data processing.
Maintain high availability, performance, and scalability for distributed systems across geographically dispersed data centers.
Develop and release code in Go, Python, or Java to manage configuration and software delivery.
Implement automated deployment processes and eliminate manual toil through automation.
Monitor and improve system performance using observability metrics and user journey-based SLOs.
Execute incident management processes and perform troubleshooting for large-scale production applications.
Optimize and troubleshoot open-source data analytics and governance technologies like Flink, Hive, or Trino.
Perform capacity planning and disaster recovery testing for distributed systems on Kubernetes and public clouds.

What we're looking for

BS/MS in Computer Science or equivalent degree.
5+ years of software development or production operations experience in a large-scale environment.
Proficiency in authoring and releasing code in Go, Python, or Java using configuration management and delivery platforms.
Experience operating production applications at scale including performance testing, HA, disaster recovery, and capacity planning.
Experience managing distributed systems on internal and public cloud infrastructure, specifically Kubernetes.
Understanding of Linux OS, containers, virtualization, and standard networking protocols.
Proficiency in troubleshooting and tuning open source data analytics or governance technologies like Flink, Hive, Hadoop/HDFS, Trino, or Druid.
Proficiency in managing applications and infrastructure on AWS, GCP, and Ali Cloud.

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