Site Reliability Engineer, Apple Data Platform

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $196k
$137k $277k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,825–$231,100.

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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer, Apple Data Platform

The Site Reliability Engineer, Apple Data Platform joins the Apple Services Engineering team to maintain a massive, multi-cloud platform supporting internal engineers building data and AI products. You will operate and support a diverse portfolio including ML/AI platform services, big data engines, and catalog governance layers. Daily responsibilities include monitoring and triaging production environments, participating in on-call rotations, and serving as a primary technical point of contact for internal customers. You will build automation and self-healing tooling to reduce manual toil while ensuring the reliability of critical services. Required skills include proficiency in Shell and Python, Kubernetes, AWS services like EKS and S3, and big data technologies such as Spark, Flink, Airflow, and Trino. You must also implement observability practices using Prometheus, Grafana, and Splunk.

What does a Site Reliability Engineer earn?

Median $180200 from 121 postings across 36 companies.

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What you'll do

  • Monitor, screen, and triage production and non-production environments for data processing and multi-cloud infrastructure.
  • Participate in a rotating on-call schedule to provide coverage for supported services.
  • Serve as the primary technical point of contact for internal customers to resolve issues and communicate status.
  • Own the operational health and reliability of big data platform services like Spark, Flink, and Trino.
  • Build automation and self-healing tooling to reduce manual toil and increase operational capacity.
  • Identify, escalate, and resolve production issues to maintain platform reliability and customer experience.
  • Establish observability benchmarks and partner with development teams to improve service architecture.

What we're looking for

  • Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
  • 3+ years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
  • Proficiency in handling production databases and distributed-SQL engines with experience in Query Tuning and Optimizations.
  • Proficiency in scripting languages such as Shell and Python.
  • Deep understanding of one or more Big Data technologies including Spark, Flink, Airflow, Trino, or Notebooks.
  • Strong experience with Kubernetes and AWS services including IAM, EKS, RDS, S3, and cloud networking fundamentals.
  • Strong experience implementing observability systems using tools like Prometheus, Grafana, Splunk, and PagerDuty.
  • Solid grounding in SRE principles with prior on-call, production-support, or customer-facing support experience.

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