Specialty Software Engineer 4 – Cloud AI Infrastructure
Duration: 12-Month Contract
Work Model: Hybrid (3 Days Onsite)
Locations: Irving, TX | Concord, CA | Phoenix, AZ | Charlotte, NC
Overview
We are seeking a senior-level Cloud Infrastructure Engineer to lead complex, enterprise-scale cloud initiatives. This role focuses on Infrastructure as Code (IaC), automation, and building secure, scalable AI/ML-enabled cloud platforms across Microsoft Azure and Google Cloud Platform (GCP).
The ideal candidate brings deep hands-on experience with Terraform, GitHub, cloud-native AI services, and enterprise governance standards.
Key Responsibilities
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Lead large-scale cloud engineering initiatives with enterprise-wide impact
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Design and automate cloud infrastructure using Infrastructure as Code (Terraform)
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Develop standards, best practices, and scalable engineering solutions
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Build and enable secure cloud environments across Azure and GCP
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Implement and optimize AI/ML cloud services and supporting infrastructure
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Troubleshoot complex cloud platform and performance issues
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Collaborate with product, security, and architecture teams to deliver robust solutions
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Ensure compliance with enterprise security, governance, and control policies
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Support CI/CD pipelines and DevOps automation strategies
Required Qualifications
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5+ years of Software Engineering or Cloud Engineering experience
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3+ years of hands-on experience with Microsoft Azure and/or Google Cloud Platform (GCP)
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2+ years of Infrastructure as Code experience using Terraform and GitHub
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Proven experience building complex infrastructure programmatically
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Experience with at least three of the following services:
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Azure AI Foundry
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Azure Machine Learning
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Azure AI Search
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Document Intelligence / Document AI
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Vertex AI
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Strong understanding of Kubernetes-based infrastructure (AKS, GKE)
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Experience with CI/CD, DevOps, and automation best practices
Preferred Qualifications
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Experience with cloud governance, logging, and monitoring tools
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Knowledge of networking, firewalls, load balancing, RBAC, and cloud security
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Experience with container-based platforms and large-scale Kubernetes deployments
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Scripting experience (Python, Shell)
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Understanding of Agentic AI frameworks (LangChain, ADK, MCP, etc.)
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Cloud certifications (Azure and/or GCP)
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Experience working in large enterprise environments
What We’re Looking For
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Strong technical leadership and problem-solving skills
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Ability to evaluate complex, multi-parameter cloud challenges
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Excellent communication skills with technical and business stakeholders
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Experience working in globally distributed, matrixed teams
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Delivery-focused mindset in fast-paced enterprise environments