Sr. Software Engineer (Distributed System)

Apple Inc

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$181,100–$318,400 / yr
Posted
56 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 crucial role in building and operating the web crawl platform that powers Siri, Spotlight, Apple Maps, and other key products. Your responsibilities include managing the full lifecycle of web page requests from scheduling to rendering and data extraction, ensuring high operational efficiency with strict latency service level objectives. You’ll work with modern AI coding tools daily to enhance productivity and code quality while tackling complex challenges in a production environment. The ideal candidate has extensive experience building scalable distributed systems using Rust, Scala, or Go, along with hands-on expertise in Kubernetes, AWS services like SQS, S3, and EKS, and Kafka for data streaming. Additionally, familiarity with Flink or Spark pipelines over Iceberg is beneficial as you contribute to shaping the roadmap of this critical infrastructure.

What you'll do

  • Design and optimize distributed systems for large-scale web crawling.
  • Implement robust scheduling and dispatch mechanisms for efficient data fetching.
  • Develop algorithms to extract structured knowledge from billions of web pages.
  • Ensure high availability and reliability through Kubernetes and AWS deployments.
  • Define metrics, write alert rules, and build dashboards for system monitoring.

What we're looking for

  • 5+ years of experience building scalable distributed systems.
  • Strong background in systems programming with Rust, Scala, or Go.
  • Expertise in async programming models and queue-based architectures.
  • Deep knowledge of Cloud infrastructure deployments on EKS and bare-metal.
  • Hands-on Kubernetes experience including multi-cluster management.
  • Proficiency in AWS services like SQS, S3, MSK (Kafka), EKS, IAM, VPC.
  • Experience defining metrics, writing alert rules for distributed services.

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