Data Platform SRE, AI & Data Platforms

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
13 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $192k
$141k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $154,800–$229,400.

Based on 239 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 · Data Platform SRE, AI & Data Platforms

As a Data Platform SRE within the AI & Data Platforms team, you will develop and operate large-scale big data platforms using open source solutions to support critical analytics, reporting, and AI/ML applications. Your daily responsibilities include optimizing platform performance and cost efficiency, automating operational tasks for big data systems, and resolving production errors to ensure reliability. You will work with technologies including Java, Scala, Python, or Go, while leveraging Apache Spark, Apache Iceberg, and various data lake technologies. The role requires proficiency in Unix/Linux systems, cloud platforms like AWS and GCP, and potentially managing Kubernetes clusters. You will navigate the complexities of distributed data processing to support generative AI initiatives and large-scale infrastructure, utilizing tools such as Airflow or DBT while ensuring high availability and fault tolerance across complex production environments.

What you'll do

  • Develop and operate large-scale big data platforms using open source and other technologies.
  • Support critical analytics, reporting, and AI/ML applications.
  • Optimize platform performance and cost efficiency for high-scale operations.
  • Automate routine operational tasks for big data systems.
  • Identify and resolve production errors to ensure platform reliability and user experience.
  • Manage and debug distributed data processing systems with a focus on Apache Spark.
  • Maintain and optimize data lake technologies such as Apache Iceberg.
  • Orchestrate workflows and data pipelines using tools like Airflow or DBT.

What we're looking for

  • 3+ years of professional software engineering experience with large-scale big data platforms.
  • Strong programming skills in Java, Scala, Python, or Go.
  • Proven expertise in operating large-scale distributed data processing systems with a focus on Apache Spark.
  • Hands-on experience with table formats and data lake technologies such as Apache Iceberg.
  • Strong background in incident management, troubleshooting, root cause analysis, and performance optimization.
  • Proficiency with cloud technologies including AWS and GCP.
  • Experience with Unix/Linux systems and command-line tools for debugging and operational support.
  • Experience with multi-tenant Kubernetes clusters, workflow orchestration (Airflow, DBT), and the AI/ML stack.

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