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Netflix

Netflix

Big Tech

Currently tracking 50 active AI roles, with 144 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $131k–$1500k (avg $604k).

Hiring
50 / 50
Momentum (4w)
↓-4 -3%
144 opens last 4w · 148 prior 4w
Salary range · avg $604k
$131k–$1500k
USD · disclosed roles only
Tracked since
Jan '25
last role today
Hiring velocityscroll left for older weeks
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Jobs (252)

50 AI · 596 total active
FilteredFunctionEngineering×
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Active onlyAI only (≥ 7)
Stage
AllData · 6Pretrain · 1Post-train · 10Serve · 7Agent · 26Eval Gate · 4Ship · 29
Function
AllProduct · 326Engineering · 252Research · 18
Country
AllUnited States · 390Japan · 30Mexico · 24Poland · 21South Korea · 20Singapore · 18Canada · 13Netherlands · 13Philippines · 11United Kingdom · 11Finland · 10Australia · 9Brazil · 8India · 7Thailand · 4Argentina · 3Colombia · 3France · 3Germany · 3Sweden · 2Taiwan · 2Indonesia · 1
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Distributed Systems Engineer 4 - Content & Business Products
Netflix is seeking a Distributed Systems Engineer 4 to join their Content & Business Products (CBP) Engineering team. This role focuses on building and operating robust, scalable, and highly available infrastructures to optimize and automate the content creation process. The engineer will work with distributed systems features, microservices, and ensure developer experience, observability, and operational excellence. Experience with Java, C#, OO programming, multithreading, parallelism, and software observability is required. Nice-to-haves include experience in building infrastructure, platforms, API design, and areas like data platforms or workflow orchestration.
—EngineeringLos Gatos, CA +1Jul '240
Distributed Systems Engineer (L4) - Data Platform
Netflix is seeking a Distributed Systems Engineer to join their Data Platform team. This role will focus on evolving and innovating the core infrastructure for data storage, movement, and processing at Netflix, supporting various business functions and enabling data-driven decisions. The engineer will work on platforms for schema management, fleet management, control planes, security, and reliability, as well as distributed data processing with Spark.
251–252 of 252← Prev123456Next →
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Engineering
United States · Remote
Mar '24
0