Cloud Architect

Lumiere Systems

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS in Engineering, Information Technology, or related field
  • 10+ years technology experience, with law firm experience as a plus
  • 3+ years in designing cloud infrastructure
  • In-depth knowledge of public, private, and multi-cloud environments (Azure, AWS, GCP)
  • Experience with containerization and orchestration platforms (Docker, Kubernetes)
  • Strong expertise in AI cloud workloads and troubleshooting
  • Familiarity with CI/CD automation tools (PowerShell, Terraform, etc.)

Responsibilities

  • Design and maintain hybrid cloud infrastructure for AI workloads
  • Migrate on-premises applications and services to cloud platforms
  • Implement cloud governance best practices across Azure, AWS, GCP
  • Troubleshoot complex AI issues and identify root causes
  • Manage consumption and cost controls for AI models
  • Build and maintain high-availability environments
  • Utilize templating and automation scripting for efficient deployments

Benefits

  • Opportunities for professional development and training
  • Supportive work culture with a focus on collaboration
  • Access to cutting-edge technology and projects
  • Flexible work arrangements
  • Comprehensive healthcare and wellness programs
Full Job Description
About the job Cloud Architect
  • BS in Engineering, Information Technology, or equivalent work experience.
  • 10+ years general technology experience, Law firm experience a plus
  • 3+ years high level cloud infrastructure design
  • Extensive In-Depth knowledge in public, private, and multi-cloud / hybrid environments (Azure, AWS, GCP) and migrating on-premises application and services to those platforms.
  • Experience with containerization solutions and orchestration platforms, both on-premises and cloud based.
  • Docker, Rancher, Kubernetes, Azure Kubernetes Service, Amazon EKS, Google GKE
  • Design and maintain Hybrid, cloud infrastructure for AI workloads in cloud. Ability to troubleshoot complex AI issues and identify root causes.
  • Experience managing consumption, rate limits and cost controls for AI models.
  • Strong knowledge of Microsoft Fabric for large scale data processing and analytics.
  • Strong knowledge of templating and automation scripting, CI/CD such as Power-shell, Chef, Ansible, and Puppet, Terraform code.
  • Experience in implementing Cloud Governance best practices across Azure, AWS, GCP
  • Strong working knowledge of LAN/WAN/SDWAN concepts as they relate to hybrid environments
  • Experience with building and maintaining high-availability (>99%) environments
  • Experience with Active Directory, Group Policy, Microsoft EntraID, Conditional Access Policy.
  • Strong knowledge of Windows and Linux server technologies.
  • Excellent analytical and organizational skills and attention to detail.

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