AI Infrastructure Engineer

🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $200.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷 Engenheiro de Infraestrutura

👻 Score fantasma 26%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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vCluster

SiteLinkedInTodas as Vagas

51 - 200 funcionários

☁️ SaaS

🏢 Corporativo

💰 $24.000.000 Series A em 2024-05

SaaS • Enterprise

vCluster é um produto de virtualização Kubernetes (da loft-sh) que cria clusters virtuais de Kubernetes sobre a infraestrutura existente de Kubernetes. Ele possibilita clusters dedicados, multi-inquilino ou de nós privados para casos de uso como padronização de plataformas internas, implantações híbridas de Kubernetes, ambientes soberanos ou dedicados a clientes, provedores de nuvem de IA e inferência distribuída. O vCluster posiciona-se como uma solução de ferramenta/produto para empresas que operam Kubernetes em grande escala, oferecendo funcionalidades gerenciadas, lançamentos e integrações para plataformas internas K8s e fluxos de trabalho cloud-native.

Descrição

• Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. • Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand. • Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s. • Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently. • Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start. • Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap. • Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value.

🎯 Requisitos

• Production K8s Mastery: 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments. • GPU Fluency: Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes. • Networking Fundamentals: Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered environments. • Storage Expertise: Experience with persistent volume configuration, CSI drivers, and distributed systems like Ceph, Rook, Weka, or Longhorn. • Operational Agility: Comfort operating in ambiguous, fast-moving environments where you are often writing the playbook in real time. • Modern Tech Mindset: You thrive in environments that reject legacy tech and prefer a modern stack where you can solve a variety of problems from pipelines to internal services. • Bonus points for: Automation Skills: Experience writing automation scripts with Bash, Python, or Go. • Kubernetes Depth: Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators. • AI/ML Familiarity: Experience with inference serving, GPU scheduling, and the tooling around LLM deployment. • Documentation: Experience building AI Automation in documentation to contribute to a shared knowledge base.

🏖️ Benefícios

• Competitive Salary: We offer a competitive compensation package, including equity. • Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country). • Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. • Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.