Systems Engineer, MAPS

Cloudflare, Inc

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Posted
75 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $160k
$121k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $130,500–$188,950.

Based on 240 similar postings.

Employer

About Cloudflare, Inc

Cloudflare is a prominent cloud services and security company that provides content delivery network (CDN), DDoS mitigation, and Zero Trust security services to millions of internet properties.

Cloudflare, Inc currently has 128 open roles on FindRole.

Listed pay typically runs $234,000–$292,000 across 47 roles with salary data.

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At a glance

TL;DR · Systems Engineer, MAPS

As a Systems Engineer at Cloudflare’s MAPS team, you will work on building and maintaining highly granular resource usage instrumentation for the company's global edge platform. Your day-to-day responsibilities include developing distributed systems, creating data pipelines, and collaborating with various teams to ensure accurate attribution of all resource usage. You’ll need strong programming skills in languages like Go or Rust, experience with large-scale data processing tools such as ClickHouse, and a deep understanding of TCP/IP networking fundamentals. The role requires effective communication across multiple engineering teams to deliver robust tooling for testing needs and support enterprise customers’ synthetic testing products. This position demands ownership over long-term sustainable systems and the ability to balance technical specifics with broader organizational goals in a fast-paced environment.

What you'll do

  • Develop and maintain distributed systems for Cloudflare's global edge platform.
  • Build data pipelines and measurement tools to track resource usage across the network.
  • Collaborate with cross-functional teams to ensure accurate attribution of resource consumption.
  • Design sustainable, long-term systems that support real-time load balancing and capacity planning.
  • Troubleshoot performance issues in large-scale distributed systems and optimize server infrastructure.

What we're looking for

  • Experience as a software engineer with focus on latency and efficiency sensitive server infrastructure.
  • Strong knowledge of TCP/IP networking fundamentals, routing basics, and distributed systems.
  • Track record in building large-scale data pipelines using technologies like ClickHouse or BigQuery.
  • Proven ability to collaborate effectively across multiple teams for complex projects.
  • Demonstrated ownership of problems, goals, and outcomes beyond specific software pieces.
  • Expertise in programming languages such as Go, Rust, or C for system development.

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