Site Reliability Engineer L5 - Open Connect
Netflix
Netflix is one of the world's leading entertainment services, with 283 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.
How do you spark joy in hundreds of millions of people? It starts with a vision - that technology can give voice to stories around the world. In delivering those much-loved stories, Netflix is responsible for a significant portion of global internet traffic. To steward that responsibility, we work collaboratively with ISPs to deploy Open Connect (https://media.netflix.com/en/company-blog/how-netflix-works-with-isps-around-the-globe-to-deliver-a-great-viewing-experience) , Netflix’s Content Delivery Network (CDN), our in-house custom-built network and server infrastructure responsible for delivering 100% of Netflix's video traffic.
In addition to streaming video delivery, Open Connect Appliances (OCAs) are ideally situated to also improve the latency between clients and the Netflix services running on AWS. The Open Connect Edge Accelerator is taking advantage of the highly geo-distributed nature of Open Connect to improve the quality of experience. It is the entry point for device and website traffic, putting it on the critical path to delivering and monitoring our product experiences.
We are seeking a seasoned Reliability Engineer with extensive experience in *nix, networking, data analysis, and large-scale service operations experience to design, scale, operate, automate, and analyze our globally distributed CDN, with a focus on the Edge Accelerator services. You will be working on reliability, resilience, performance, latency measurement, steering solutions, low-latency reverse proxy, failover mechanisms, protocol optimizations, and DDoS protection to name a few.
Qualifications
+ Knowledge of and proven experience with CDNs and HTTP cache/proxy technologies
+ Deep understanding of Internet protocols like TCP, TLS, HTTP/S, and DNS
+ Experience building and maintaining highly distributed, scalable, low-latency, fault-tolerant production systems with a focus on security and reliability
+ Proficient in a programming language such as Go, C, or Python
+ Experience with distributed analytic processing technologies (Hive, Presto/Trino, Spark SQL, etc)
+ Great communication and documentation skills targeted at cross-team collaboration
+ Motivated by “the art of possible” and able to balance idealism and pragmatism
+ Cool-headed during production issues, able to focus on problem resolution
+ Preferred - BS in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent professional experience)
Responsibilities
+ Drive continual improvement in resilience, security, observability, quality of experience (QoE), monitoring, instrumentation, and automation with the primary goal of maintaining highly scalable and reliable CDN services 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 for service delivery optimization and system reliability improvements
+ Participate in on-call rotation and handle escalations for service delivery production issues
+ Have lots of discussions about all the great content and your favorite movies and series
Things that show how we think
+ Netflix Networking: Beating the Speed of Light with Intelligent Request Routing (https://www.infoq.com/presentations/intelligent-request-routing/)
+ FreeBSD optimization used by Netflix to serve 800 Gb/s from a single server
+ Resiliency Practices in Managing CDN (https://www.youtube.com/watch?v=0G5BolDEwvw)
+ Measuring Real-Life Latency of the Internet: A Netflix Story
+ Mastering Near-Real Time Telemetry and Big Data (https://youtu.be/nHG8d14FWxY)
Does this sound interesting? Or does it sound interesting but intimidating? Please don’t self-select; let’s figure it out together. Come join us and play a meaningful role in our journey to entertain the world! 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 (https://jobs.netflix.com/culture) .
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.
Inclusion (https://about.netflix.com/en/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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