Site Reliability Engineer L4/L5 - Cloud Platform SRE
USA - Remote, United States
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.
Netflix has been changing how people watch shows and movies, enabling on-demand access to thousands of movies and TV shows. Recently, Netflix has expanded its entertainment offering to include Live content and Games. Bringing entertainment and engagement to 260+ million users around the world is a hard challenge, demanding exceptional levels of stability and reliability from multiple domains.
About the role
In this role, you will help build our Cloud Platform SRE foundations. You will partner closely with our observability team to apply business logic on top of the capability they developed to empower service owners and SREs to gain more insights about their services and domains. You will develop tools to help them prevent incidents from happening and enable them to do near real-time detection of failures and more efficient troubleshooting. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of business via continuous improvement of our Cloud Platform reliability.
Responsibilities
Drive continual improvement in observability, monitoring, and scalability, with the primary goal of helping service owners and SREs gain more insight and making troubleshooting and debugging more efficient.
Develop toolings for automation, execution, and data analysis to equip service owners and SREs to apply reliability and resilience in their services and domains.
Discovery and fill gaps in the end-to-end reliability, all the way from Netflix clients, cloud gateway, microservices to CDN, etc.
Write and review code, develop documentation, and debug the hardest problems on some of the largest and most complex distributed systems in the world.
Coordination, collaboration, and partnership across multiple stakeholders to implement reliability at scale.
Qualifications
5+ years of service reliability/operational experience running large-scale, high-performance systems & internet services with a focus on traffic at scale.
Knowledge of and proven experience with AWS Cloud Platform including API Gateway and Microservices.
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, HTTP(s), GRPC etc.
Proficient in a programming language such as Go, Javascript, Python etc.
Experience with using real-time and BigData analytic 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)
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here. Netflix has a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.
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.
ApplyJob Profile
Remote
Benefits/Perks401(k) with employer match Annual salary Collaborative environment Disability Programs Family-forming Benefits Flexible Spending Flexible Spending Accounts Flexible time off Health plans Health savings Mental health support Paid leave Paid leave of absence Paid Time Off Retirement plan with employer match Stock options Unique culture
Tasks- Collaborate with stakeholders
- Collaboration
- Coordination
- Debug complex systems
- Develop
- Develop automation tools
- Enhance reliability
- Hiring
- Improve observability
API Gateway Automation AWS CDN Cloud platform Collaboration Data analysis Debugging Distributed Systems DNS Documentation Engineering Go GRPC Https Javascript Kafka Linux Microservices Monitoring Networking Observability Presto Programming Python Reliability Scalability Site Reliability Engineering Spark Spark SQL SQL SRE TCP/IP Time Series Database TLS Trino UNIX
Experience5 years
EducationB.S. B.S. in Computer Science Computer Engineering Computer Science Electrical Engineering Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9