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Netflix CDN Site Reliability Engineer SRE L4/L5 
United States, Oregon 
161021525

20.03.2025
Work Type

our in-house custom-built network and server infrastructure responsible for

Location

  • We are hiring for two open positions: one is onsite based in Los Gatos, and the other is open to US Remote.

Responsibilities

  • Drive continual improvement in resiliency, observability, monitoring, instrumentation, and automation with the primary goal to maintain a highly scalable and reliable CDN platform worldwide.

  • Aggregate, analyze, and correlate large amounts of server and application performance data. Use the innovative Netflix Big Data platform as a highly flexible, specialized and efficient toolset to identify opportunities for platform optimization, system reliability improvements as well as identifying patterns/anomalies for further investigation.

  • Provide technical design and engineering assistance to ISP partners to integrate our Open Connect Appliances.

  • Handle Tier 3 escalation and participate in an on-call rotation for the CDN platform production issues.

Qualifications

  • 3+ years Service Reliability/Operational experience running large scale, high performance systems & internet services with focus on performance and reliability.

  • Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

  • Strong working knowledge of networking concepts and application protocols, especially TCP/IP, BGP, DNS, TLS, and HTTP/S with focused experience on CDNs and HTTP cache/proxy technologies.

  • Skilled in designing, creating and maintaining automation written in a programming language such as Python.

  • Expert-level knowledge managing and debugging Unix/Linux systems (engineering fundamentals, networking, storage, operating systems) at scale.

  • Experience with distributed analytic processing technologies (Hive, Presto/Trino, Spark SQL, etc)

  • Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems.

  • Some experience with container and container orchestration technologies (Docker, Kubernetes).

  • Ability to work in a highly collaborative environment and to communicate cross functionally with internal and external partners.

Job is open for no less than 7 days and will be removed when the position is filled.