Big Data Systems Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
49 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $171k
$121k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $130,249–$211,200.

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 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 · Big Data Systems Engineer

As a Big Data Systems Engineer on the Infrastructure Systems Engineering team within Fleet Operations Engineering, you will design, build, and operate large-scale Linux systems that power critical internal experiences. You will deploy, configure, and maintain a massive fleet of Linux systems across production and non-production environments while partnering with various engineering teams to solve complex problems. Your daily work involves developing automation and configuration management solutions using Puppet or Ansible, writing operational tooling in Python or Go, and debugging issues from the application layer down to the kernel. You will also manage CI/CD pipelines, enforce security hardening, and promote service democratization. Required skills include experience with RHEL, Oracle Linux, or CentOS; Bash scripting; networking concepts like TCP/IP and DNS; Git version control; and familiarity with Docker or Kubernetes.

What you'll do

  • Deploy, configure, and maintain large-scale Linux systems across production and non-production environments.
  • Develop and maintain automation and configuration management solutions using Puppet or Ansible.
  • Write and maintain operational tooling in Python or Go to reduce manual intervention.
  • Debug complex system issues ranging from the application layer down to the kernel.
  • Contribute to CI/CD pipelines, revision control workflows, and configuration management practices.
  • Develop self-service tools to promote service democratization across the organization.
  • Enforce security best practices, OS hardening, and compliance standards across the fleet.

What we're looking for

  • Experience with enterprise Linux distributions such as RHEL, Oracle Linux, or CentOS.
  • Proficiency in Bash shell scripting for automation and system operations.
  • Solid understanding of Linux fundamentals including file systems, process management, and package management.
  • Working knowledge of networking concepts like TCP/IP, DNS, DHCP, and firewall configuration.
  • Proficiency in Python or Go for developing operational tooling.
  • Experience with version control systems such as Git.
  • Familiarity with configuration management tools like Puppet or Ansible and CI/CD pipelines.
  • A Bachelor's degree or equivalent experience in Computer Science, Information Systems, or a related field.

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