NVIDIA
Distinguished Site Reliability Engineer- Cloud
Rol remoto de Site Reliability Engineering con fit claro de ubicación del candidato.
Publicado13 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Distinguished Site Reliability Engineer- Cloud
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
What you'll be doing:
- Lead, 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
What we need to see:
- BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
- 16+ 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
Ways to stand out from the crowd:
- 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
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