Site Reliability Engineer L5 – Live SRE
Job Description:
• Support live streaming events by focusing on cloud traffic (API Gateway, IPC between microservices).
• Prepare and execute various load tests to ensure infrastructure can handle sudden API traffic increases.
• Implement end-to-end observability and visualize data to achieve desired availability at scale.
• Drive continual improvement in observability, monitoring, and scalability.
• Implement, automate, execute, and analyze results from live streaming delivery focused tests.
• Write and review code, develop documentation, and debug complex problems.
• Coordinate and collaborate across multiple stakeholders for smooth event execution.
• Participate in an on-call rotation and work flexible hours based on event schedules.
Requirements:
• 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).
Benefits:
• Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
• We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
Apply Now
Apply Now
• Support live streaming events by focusing on cloud traffic (API Gateway, IPC between microservices).
• Prepare and execute various load tests to ensure infrastructure can handle sudden API traffic increases.
• Implement end-to-end observability and visualize data to achieve desired availability at scale.
• Drive continual improvement in observability, monitoring, and scalability.
• Implement, automate, execute, and analyze results from live streaming delivery focused tests.
• Write and review code, develop documentation, and debug complex problems.
• Coordinate and collaborate across multiple stakeholders for smooth event execution.
• Participate in an on-call rotation and work flexible hours based on event schedules.
Requirements:
• 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).
Benefits:
• Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
• We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
Apply Now
Apply Now