Netflix Site Reliability Engineer L4/L5 - Live Cloud Platform SRE 

United States, Oregon 

915004526

About the role

In this role, you will support our live streaming events by focusing on cloud traffic (API Gateway, IPC between microservices). You will prepare and execute various load tests to ensure both individual critical applications and overall cloud infrastructure can handle sudden increases in API traffic, especially at the start of events. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days.

Responsibilities

• Drive continual improvement in observability, monitoring, and scalability, with the primary goal of solving the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming.

• Implement, automate, execute, and analyze the results from a wide range of live streaming delivery-focused functional, performance, resilience, and fault injection testing.

• Write and review code, develop documentation, and debug complex problems between systems and components.

• Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events

• Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

Qualifications

• 5+ years of service reliability/operational experience running large-scale, high-performance systems & internet services with a focus on traffic at scale.

• Knowledge of and proven experience with L4 Load Balancer, HTTP cache, and reverse proxy technologies.

• Expert-level knowledge of Unix or Linux systems and TCP/IP network fundamentals.

• Proficient understanding of networking principles, transport, and application protocols, especially DNS, TLS, and HTTP(s) etc.

• Proficient in a programming language such as Go, Python, Rust etc.

• Experience with using real-time and BigData analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc)

• Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners

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

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000-$720,000.

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