Data Platform SRE, AI & Data Platforms (AiDP)

Apple Inc

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $147,400–$220,900 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $184k

$136k most similar roles pay here $231k

This role pays more than 52% of similar roles. Most pay $145,417–$217,725 — the shaded band above. At the midpoint, this role pays about $184k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

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 · Data Platform SRE, AI & Data Platforms (AiDP)

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As a Data Platform SRE on the AI & Data Platforms (AiDP) team at senior level, you will develop and maintain large-scale big data platforms using open-source solutions to support critical applications such as analytics, reporting, and AI/ML. Your daily tasks include optimizing platform performance and cost efficiency, automating operational tasks, and resolving production issues to ensure reliability and user satisfaction. You should have extensive experience with Java, Scala, Python, or Go, expertise in Apache Spark, hands-on knowledge of data lake technologies like Apache Iceberg, and proficiency in Unix/Linux systems for debugging and support. Additionally, familiarity with Kubernetes, workflow orchestration tools such as Airflow, and the AI/ML stack is beneficial, along with a commitment to continuous improvement and best software engineering practices.

Skills

Java Scala Python Go Apache Spark Apache Iceberg Unix/Linux Kubernetes Airflow DBT MLFlow CI/CD

What you'll do

Develop and operate large-scale big data platforms using open source solutions.
Optimize performance and cost efficiency for critical applications like analytics and AI/ML.
Automate operational tasks to enhance the reliability of big data systems.
Identify and resolve production errors to ensure high platform reliability.
Troubleshoot complex issues in distributed data processing environments.

What we're looking for

3+ years of professional experience in large-scale big data platforms with expertise in Apache Spark.
Strong programming skills in Java, Scala, Python, or Go for developing resilient data pipelines.
Hands-on experience with table formats and data lake technologies like Apache Iceberg for optimized performance.
Proficient in incident management, troubleshooting, root cause analysis, and performance optimization in complex environments.
Skilled in Unix/Linux systems and command-line tools for debugging and operational support.
Experience with workflow and data pipeline orchestration tools such as Airflow or DBT.

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