NVIDIA
Principal Site Reliability Engineer- Observability and Telemetry Platform
Vaga remota de Site Reliability Engineering com fit claro de localização do candidato.
Publicada13 de jul. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáEstados Unidos
Resumo da vaga
Principal Site Reliability Engineer- Observability and Telemetry Platform
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What you'll be doing:
- Design, implement and support operational and reliability aspects of large scale Observability & Telemetry collection platform with a 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
- 15+ 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
- 8+ years experience delivering foundational infrastructure and observability platforms.
- 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. Experience running Grafana, OpenTelemetry, Prometheus, and similar observability focused tools
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