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Site Reliability Engineer L5 - Live SRE

Roles & Responsibilities

  • 5+ years service reliability/operational experience running large scale, high performance internet services with focus on traffic at scale
  • Proficient in a programming language such as Go, Python, Rust etc
  • Knowledge of and proven experience with L4 Load Balancer, HTTP cache, and reverse proxy technologies
  • Experience with using real time and BigData analytics processing technologies (Kafka, time series database and Presto/Trino, Spark SQL etc)

Requirements:

  • Drive continual improvement in observability, monitoring, and scalability with the primary goal to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming
  • Implement, automate, execute, and analyze the results from a broad 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
  • Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

Job description

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix has been changing how people watch shows and movies, enabling on-demand access to thousands of movies and TV shows. Recently, Netflix has expanded its entertainment offering to include Live content, like Chris Rock Comedy Special, the SAG Awards ceremony or The Netflix Slam tennis match. Bringing stories in real-time to 260+ million viewers around the world is a hard challenge, demanding exceptional levels of stability and reliability from dozens of services and systems between camera and device screens.


 

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 to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming.

  • Implement, automate, execute, and analyze the results from a broad 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 service reliability/operational experience running large scale, high performance systems & internet services with 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 analytics 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)

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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

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