CDN Site Reliability Engineer - L4/L5

March 6

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Netflix

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Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

Revolutionizing the way people watch TV shows and movies!

10,000+ employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

📋 Description

• 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.

🎯 Requirements

• 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.