Sr. Software Engineer (Distributed System)

Apple Inc

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$181,100–$318,400 / yr
Posted
64 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k
This role $250k
$114k most similar roles pay here $340k

This role pays more than 93% of similar roles. Most pay $139,000–$203,200 — the shaded band above. At the midpoint, this role pays about $250k versus about $171k 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 · Sr. Software Engineer (Distributed System)

As a Senior Software Engineer on Apple’s distributed system team, you will play a pivotal role in building and maintaining the web crawl platform that powers Siri, Spotlight, Apple Maps, and other critical services. Your daily responsibilities include designing and implementing scalable systems for fetching, rendering, and extracting structured data from billions of web pages, ensuring high operational efficiency with strict latency Service Level Objectives (SLOs). You will work extensively with Rust, Scala, or Go, leveraging Kubernetes, AWS services like SQS, S3, MSK, EKS, IAM, VPC, and Transit Gateways, as well as Kafka for topic management and consumer group lag. Your expertise in async programming models, queue-based architectures, and metrics definition will be crucial in shaping the roadmap of this high-impact system that underpins Apple’s most-used products.

What you'll do

  • Design and implement critical components of large-scale distributed web crawling systems.
  • Optimize scheduling, dispatching, fetching, rendering, and data extraction processes for efficiency.
  • Ensure structured data extraction meets strict latency Service Level Objectives (SLOs).
  • Manage complex failure domains and high operational stakes in production environments.
  • Develop and maintain Kubernetes multi-cluster configurations and resource tuning strategies.

What we're looking for

  • 5+ years of experience building scalable distributed systems
  • Proficient in Rust, Scala, or Go for systems programming
  • Expertise in asynchronous programming and queue-based architectures
  • Hands-on Kubernetes management including multi-cluster operations
  • Deep knowledge of AWS services like SQS, S3, MSK, EKS, IAM, VPC
  • Experience with Kafka topic management and consumer group lag
  • Strong understanding of metrics definition and alert rule writing

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