Site Reliability Engineer L5/L6 - Live Streaming Pipeline

Key Skills

Apache Hive, Big Data Technology, Data Analysis, Docker, HTTP acceleration, Kubernetes-K8s, Linux Operating system, Presto, Python Programming, Site Reliability Engineering (SRE), SPARK Programming, SQL, Unix Operating system

Job Description

We are seeking a seasoned Reliability Engineer with extensive experience in *nix, networking, data analysis, and large-scale platform operations experience to design, scale, operate, automate, and analyze our globally distributed CDN. Come join us and play a meaningful role in our journey to entertain the world!

Responsibilities

• Drive continual improvement in resiliency, observability, monitoring, instrumentation, and automation with the primary goal of maintaining a highly scalable and reliable CDN platform worldwide.
• 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 to identify opportunities for platform optimization and system reliability improvements, as well as identifying patterns/anomalies for further investigation.
• Provide technical design and engineering assistance to ISP partners to integrate our Open Connect Appliances.
• Handle Tier 3 escalation and participate in an on-call rotation for the CDN platform production issues.

Qualifications

• 5+ years of Service Reliability/Operational experience running large-scale, high-performance systems & internet services with a focus on performance and reliability.
• Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)
• Strong working knowledge of networking concepts and application protocols, especially TCP/IP, BGP, DNS, TLS, and HTTP/S with focused experience on CDNs and HTTP cache/proxy technologies
• Skilled in designing, creating, and maintaining automation written in a programming language such as Python
• Expert-level knowledge of managing and debugging Unix/Linux systems (engineering fundamentals, networking, storage, operating systems) at scale.
• Experience with distributed analytic processing technologies (Hive, Presto/Trino, Spark SQL, etc)
• Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems
• Some experience with container and container orchestration technologies (Docker, Kubernetes)
• Ability to work in a highly collaborative environment and to communicate cross-functionally with internal and external partners

Things that show how we think

• FreeBSD optimization used by Netflix to serve 800 Gb/s from a single server
• Resiliency Practices in Managing CDN
• Measuring Real-Life Latency of the Internet: A Netflix Story
• Mastering Near-Real Time Telemetry and Big Data

Does this sound interesting? Or does this sound interesting but intimidating? Please don’t self-select out, let’s figure it out together. We’d love to talk to you!

Netflix is a global company with a diverse member base, which is why the content we produce reflects that: global perspectives and global stories. As we grow globally, we must have the most talented employees with diverse backgrounds, cultures, perspectives, and experiences to support our innovation and creativity. We are an equal-opportunity employer and strive to build balanced teams from all walks of life.

Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for roles in this area of Netflix is typically $100,000 - $720,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy.