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Site Reliability Engineer 5 – Live Encoding SRE

Worldwide Salaried Open

Job Description:

  • Support our live streaming pipeline team and day-to-day live-streaming operations for Netflix
  • Responsible for the reliability of our live streaming pipeline (transmission, encoding, packaging, origin)
  • Instrumenting end to end observability and visualizing the data to achieve the desired availability at scale
  • Working with cross functional teams in the preparation, validation, and execution of live streaming focused initiatives
  • Impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days
  • Lead innovation initiatives, driving new features that will enhance our live streaming services, encoding & content delivery
  • Drive continual improvement in resilience, observability, monitoring, instrumentation, and automation with the primary goal to maintain highly scalable and reliable services worldwide
  • Implement, automate, execute, and analyze results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing
  • Coordinate, collaborate, and partner across multiple stakeholders for the smooth execution of live-streaming events
  • 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 for service delivery optimization and system reliability improvements
  • Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

Requirements:

  • 5+ years service reliability/operational experience running large scale, high performance systems & internet services with focus on live-streaming and video-on-demand (VOD) delivery
  • Experience with video transport protocols such as RTP, RTMP, SRT, UDP, Zixi, RIST, HLS, MPEG-DASH
  • Knowledge of and proven experience with HTTP cache/proxy technologies
  • Experience supporting live-streaming delivery at scale
  • Expert-level knowledge of Unix or Linux system engineering fundamentals (networking, storage, operating systems) at scale
  • Proficient understanding of networking principles, transport, and application protocols, especially TCP/IP, BGP, DNS, TLS, and HTTP/S
  • Experience with using distributed analytic processing technologies (Hive, Presto/Trino, Spark SQL, etc)
  • Proficient in a programming language such as Python or Go
  • Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

Benefits:

  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
  • Full-time salaried employees are immediately entitled to flexible time off

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