Sr. Software Engineer (Distributed System)

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $171,600–$302,200 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $237k

$116k most similar roles pay here $322k

This role pays more than 89% of similar roles. Most pay $139,000–$203,200 — the shaded band above. At the midpoint, this role pays about $237k 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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View all roles at Apple Inc

At a glance

TL;DR · Sr. Software Engineer (Distributed System)

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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 and dispatching to rendering and extracting structured data for downstream delivery. You’ll work with modern AI coding tools to enhance your productivity and code quality while tackling complex challenges in a high-stakes environment with strict latency service level objectives. 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, MSK (Kafka), EKS, IAM, and VPC, as well as defining metrics and writing alert rules for distributed services.

Skills

Kubernetes AWS EKS SQS S3 MSK IAM VPC Transit Gateways Kafka Rust Scala Go async programming queue-based architectures Hadoop CI/CD Prometheus Grafana

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 asynchronous programming models and queue-based architectures.
Hands-on Kubernetes experience including multi-cluster management.
Proficient in AWS services like SQS, S3, MSK (Kafka), EKS, IAM, VPC.
Experience defining metrics, writing alert rules, and building dashboards.
Deep understanding of cloud infrastructure deployments across heterogeneous clusters.

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