Senior CDN Solutions Engineer — Hybrid, Scale & Automation

Apple Inc.

Cupertino, Northern (CA, KY)

Hybrid

USD 185,000 - 325,000

Full time

14 days+
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Benefits offered by this job

Stock options
Medical and dental coverage
Retirement benefits
Employee stock purchase plan
Tuition reimbursement
Relocation assistance

Job summary

Apple Inc. in Cupertino, California, seeks a CDN Solutions Engineer to design and implement CDN solutions that scale for Apple TV+, Apple Music, App Store, and more. You’ll troubleshoot live production issues, analyze logs, and build tools to improve speed and reliability across the CDN stack.

You’ll work with marketing, software, and IT teams across Apple in a self-directed, lean environment. The role is hybrid, averaging 3 days in office and 2 days remote, with strong emphasis on problem

Qualifications

  • 4+ years working with Content Delivery Networks (CDN) and TLS.
  • 4+ years of production software development in Python, Go, or Node.js.
  • Ability to troubleshoot HTTP and DNS issues in live production environments.
  • Experience analyzing logs and metrics to root-cause issues under time pressure.

Responsibilities

  • Design and implement CDN solutions tailored to needs across Apple platforms.
  • Troubleshoot latency and availability issues; pull logs and run diagnostics.
  • Build tools to automate workflows and improve team efficiency.
  • Collaborate with engineering teams across Apple to deliver scalable CDNs.

Skills

CDN expertise
Python
Go
Node.js
Troubleshooting
Log analysis

Tools

VCL
Lua
EdgeWorkers
Node.js

Job description

Apple Inc. in Cupertino, California, seeks a CDN Solutions Engineer to design and implement CDN solutions that scale for Apple TV+, Apple Music, App Store, and more. You’ll troubleshoot live production issues, analyze logs, and build tools to improve speed and reliability across the CDN stack.

You’ll work with marketing, software, and IT teams across Apple in a self-directed, lean environment. The role is hybrid, averaging 3 days in office and 2 days remote, with strong emphasis on problem

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