CDN Site Reliability Engineer (SRE) L4/L5
Description For CDN Site Reliability Engineer (SRE) L4/L5
Netflix is seeking a CDN Site Reliability Engineer (SRE) L4/L5 to join their Engineering team. This role involves designing, scaling, operating, automating, and analyzing Netflix's globally distributed Content Delivery Network (CDN). The ideal candidate will have 3+ years of Service Reliability/Operational experience, strong knowledge of networking concepts, and expertise in Unix/Linux systems. Responsibilities include driving improvements in resiliency, observability, and automation, analyzing performance data, and providing technical assistance to ISP partners. The role offers the opportunity to work on Netflix's Open Connect CDN, which is responsible for delivering 100% of Netflix's video traffic worldwide. This position combines technical challenges with the exciting mission of entertaining millions of people globally. Netflix offers a unique culture, values diversity, and provides competitive compensation based on skills and experience.
Responsibilities For CDN Site Reliability Engineer (SRE) L4/L5
- Drive continual improvement in resiliency, observability, monitoring, instrumentation, and automation of the CDN platform
- Aggregate, analyze, and correlate large amounts of server and application performance data
- Provide technical design and engineering assistance to ISP partners to integrate Open Connect Appliances
- Handle Tier 3 escalation and participate in an on-call rotation for CDN platform production issues
Requirements For CDN Site Reliability Engineer (SRE) L4/L5
- 3+ years Service Reliability/Operational experience running large scale, high performance systems & internet services
- Strong working knowledge of networking concepts and application protocols (TCP/IP, BGP, DNS, TLS, HTTP/S)
- Skilled in designing, creating and maintaining automation written in a programming language such as Python
- Expert-level knowledge managing and debugging Unix/Linux systems at scale
- Experience with distributed analytic processing technologies (Hive, Presto/Trino, Spark SQL, etc)
- Strong understanding of applied statistics and ability to code systems that identify outlier behavior
- Some experience with container and container orchestration technologies (Docker, Kubernetes)
- Ability to work in a highly collaborative environment and communicate cross-functionally
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