Platform Engineer: AI Infra for Hybrid Cloud & Kubernetes

Meibel

Washington (District of Columbia)

Sur place

USD 120 000 - 180 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Meibel is seeking a Platform Engineer to design, deploy, and maintain the core infrastructure powering our AI platform. You will work across cloud and on-premises environments, building scalable, observable systems in collaboration with AI and data teams.

You will leverage Kubernetes, Pulumi, Argo Workflows/CD, and Temporal to enable reliable deployments and efficient data workflows, while strengthening security and resilience.

Qualifications

  • 4+ years in platform engineering, DevOps, or SRE roles.
  • Hands-on Kubernetes in hybrid cloud/on-prem environments.
  • Experience with GitOps and CI/CD tooling.
  • Familiarity with data systems and observability practices.

Responsabilités

  • Design, deploy, and manage Kubernetes environments in cloud and on-premises settings.
  • Build infrastructure-as-code to automate provisioning and configuration.
  • Support Argo Workflows and Argo CD for CI/CD and orchestration.
  • Architect scalable systems using Temporal for long-running workflows.
  • Manage data systems including vector, graph, and relational databases.
  • Monitor, troubleshoot, and optimize performance across infra layers.
  • Partner with engineers to build highly available, secure, observable systems.
  • Contribute to internal tooling for development, deployment, and data workflows.

Connaissances

Kubernetes
DevOps
Pulumi
Argo Workflows
Argo CD
Temporal
GitOps
Hybrid cloud

Outils

Terraform
Argo
CI/CD tooling

Description du poste

Meibel is seeking a Platform Engineer to design, deploy, and maintain the core infrastructure powering our AI platform. You will work across cloud and on-premises environments, building scalable, observable systems in collaboration with AI and data teams.

You will leverage Kubernetes, Pulumi, Argo Workflows/CD, and Temporal to enable reliable deployments and efficient data workflows, while strengthening security and resilience.

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