Senior Systems Engineer, Storage – DGX Cloud

🕒 5 dias atrás

🏄 California, Colorado, +3 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote

💵 $208.000 - $414.000 / ano

⏰ Tempo Integral

🟠 Sênior

⚙️ Engenheiro de Sistemas

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them. • Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations. • Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable. • Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure. • Work closely with peers and partner teams to improve the lifecycle of services, from inception and design through deployment, operation, and refinement. • Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity. • Support services before they go live through activities such as deployment automation, capacity planning, and launch and readiness reviews. • Practice sustainable incident response and postmortems, and participate in an on-call rotation to support production systems.

🎯 Requisitos

• BS degree (or equivalent experience) in Computer Science or related technical field involving coding. • 12+ years of practical experience. • Hands-on experience with Kubernetes – deploying, configuring, and operating workloads and solutions on Kubernetes in production. • Experience building tools and services for storage, data, or platform infrastructure, with solid software design fundamentals (algorithms, data structures, complexity analysis) on large-scale Linux-based systems. • Experience building and operating telemetry and observability using tools such as Prometheus, InfluxDB, Grafana, and the Elastic stack. • Strong analytical troubleshooting skills with a systematic, root-cause-driven approach to identifying and resolving complex problems. • Proficiency in one or more of the following: Python, Go, or Java. • Good knowledge of infrastructure configuration management and infrastructure-as-code tools such as Ansible, Chef, Puppet, ArgoCD, Git Pipelines, and Terraform.

🏖️ Benefícios

• Equity • Health insurance • Retirement plans • Paid time off • Professional development opportunities