Requirements:

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
5+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production
Experience in one or more of the following: Python, Go, Perl or Ruby
In depth knowledge on Linux, Networking and Containers

What you'll be doing:

Design, implement and support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting
Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement
Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews
Maintain services once they are live by measuring and monitoring availability, latency and overall system health
Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity
Practice sustainable incident response and blameless postmortems
Be part of an on call rotation to support production systems

Interest in crafting, analyzing and fixing large-scale distributed systems
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
Ability to debug and optimize code and automate routine tasks
Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack, and Docker

NVIDIA is widely considered to be one of the technology world’s most desirable employers
Forward-thinking and hard-working team
Creative and autonomous work environment
Challenging opportunities