Distributed Systems Engineer L5, Data Platform

Netflix

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$388,000–$619,000 / yr
Posted
55 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $504k
$60k $679k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $141,600–$213,250 — the blue band above. At the midpoint, this role pays about $504k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 179 open roles on FindRole.

Listed pay typically runs $436,000–$700,000 across 123 roles with salary data.

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At a glance

TL;DR · Distributed Systems Engineer L5, Data Platform

The Distributed Systems Engineer (L5) - Data Platform joins the Data Platform Organization to evolve and innovate infrastructure for global data utilization. Working within the Big Data Compute or Online DataStores teams, the engineer builds cloud-native platforms for distributed data processing and high-performance, cost-efficient storage solutions. Day-to-day responsibilities include developing features, performance enhancements, and novel caching architectures for mission-critical services like the streaming Catalog and CDN metadata. The role requires solving complex problems involving data at scale, including ETL processes and large-scale analytics for A/B testing and machine learning. Candidates must demonstrate proficiency in Java, C++, Golang, or Python, with expertise in multi-threading, memory management, and distributed database systems. Specific experience with Spark, Presto, Trino, Druid, and Iceberg is required to support exabytes-scale data warehouses.

What you'll do

  • Architect and build robust, scalable, and highly available distributed data infrastructure.
  • Develop and maintain high-performance, cost-efficient, and reliable data storage solutions at extreme scale.
  • Build and optimize cloud-native platforms for distributed data processing using Spark.
  • Create secure abstraction layers on top of base storage systems to enhance developer productivity.
  • Implement low-latency, high-throughput in-memory and distributed data storage solutions for mission-critical services.
  • Solve complex problems regarding data processing at scale for batch ETL and large-scale analytics.
  • Contribute to and shape open-source projects and the Netflix open-source community.
  • Lead cross-functional initiatives to solve real business needs through software engineering and analytical problem-solving.

What we're looking for

  • 7+ years of experience in crafting complex, scalable distributed data infrastructure.
  • Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management.
  • Proven track record of developing and maintaining high-impact systems.
  • Experience building and operating scalable, fault-tolerant, distributed systems.
  • BS in Computer Science or a related field.
  • Experience with Spark, Presto / Trino, Druid, Iceberg, and distributed database systems.

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