Cloud Engineering Senior

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

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

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.