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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

live streamingvideo transport protocolsRTPRTMPSRTUDPZixiRISTHLSMPEG-DASH

Soft Skills

collaborationleadershipcommunicationproblem-solvinginnovation

Certifications

B.S. in Computer ScienceB.S. in Electrical EngineeringB.S. in Computer Engineering