Senior Cloud Engineer

Senior Cloud Infrastructure & AI Platform Engineer

Location: Concord, CA / Charlotte, NC / Chandler, AZ / Minneapolis, MN / Irving (Las Colinas), TX Duration: Long-Term Contract Payrate: $70-80/hr Job Summary

We are seeking a Senior Cloud Infrastructure & AI Platform Engineer to lead enterprise cloud engineering initiatives focused on automation, Infrastructure as Code (IaC), AI-enabled cloud services, and scalable Kubernetes-based platform solutions across GoogleCloudPlatform(GCP) and MS Azure environments.

This role requires deep hands-on experience in cloud infrastructure engineering, Terraform automation, container orchestration, and modern AI/ML cloud services. The ideal candidate will work closely with engineering teams, product teams, and cloud vendors to design, deploy, optimize, and support enterprise-scale cloud platforms.

Key Responsibilities

• Lead large-scale cloud engineering and infrastructure modernization initiatives across Azure and GCP
• Design, automate, and provision cloud infrastructure using Infrastructure as Code (IaC) methodologies
• Develop reusable Terraform modules and GitHub-based CI/CD deployment workflows
• Build and support scalable Kubernetes/container-based cloud platforms
• Engineer and optimize enterprise cloud solutions for performance, reliability, security, and scalability
• Collaborate with product teams and cloud vendors to deploy innovative cloud-native services
• Implement cloud governance, monitoring, logging, and operational best practices
• Support AI/ML cloud enablement initiatives using Azure AI and GCP AI service offerings
• Troubleshoot and resolve complex cloud platform and infrastructure issues
• Document architecture, operational procedures, and engineering standards
• Drive adoption of DevOps, SRE, and automation best practices across teams
• Work within a globally distributed engineering organization supporting enterprise cloud platforms

Required Qualifications

• 5+ years of Software Engineering or Cloud Infrastructure Engineering experience
• 3+ years of hands-on experience with:
  • GCP and/or MS Azure
  • Infrastructure as Code (IaC)
  • Enterprise cloud platform deployments
• 2+ years of hands-on Terraform experience
• Strong experience with GitHub and CI/CD automation pipelines
• Experience provisioning and managing Kubernetes-based infrastructure platforms
• Strong understanding of cloud networking concepts including:
  • VNETs
  • DNS
  • Load Balancers
  • Firewalls
  • RBAC/IAM
  • Security Guardrails
• Experience with scripting and automation using Python and/or Shell scripting
• Experience with at least three of the following AI/ML cloud technologies:
  • Azure AI Foundry
  • Azure Machine Learning
  • Azure AI Search
  • Document Intelligence
  • Vertex AI
  • Document AI
  • LLM platforms
  • Agentic AI frameworks

Preferred Qualifications

• Cloud certifications in Azure and/or GCP
• Experience with Agile, DevOps, CI/CD, and Site Reliability Engineering (SRE) principles
• Experience building large-scale AKS or GKE environments
• Exposure to cloud governance, observability, logging, and monitoring platforms
• Familiarity with:
  • LangChain
  • MCP
  • ADK
  • A2A frameworks
  • Agent Engine
  • NotebookLM
  • Agentspace
• Understanding of cloud security, authentication methods, and data protection strategies
• Experience supporting enterprise landing zones and cloud blueprint implementations
• Excellent communication and stakeholder management skills
• Ability to explain complex technical solutions to both technical and business audiences

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.