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Specialty Software Engineer 4 - Cloud AI Infrastructure

Strategic Staffing Solutions

Irving, TX

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JOB DETAILS
SKILLS
Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, DevOps, Engineering, Enterprise Protection, Firewalls, GCP (Good Clinical Practices), GitHub, Home Automation, Identify Issues, Infrastructure as a Service (IaaS), Load Balancing, MCP - Microsoft Certified Professional, Machine Learning, Maintain Compliance, Microsoft Windows Azure, Problem Solving Skills, Python Programming/Scripting Language, Scalable System Development, Scripting (Scripting Languages), Security Architecture, Security Compliance, Software Engineering, Standards Development, Technical Leadership, Unix Shell Programming
LOCATION
Irving, TX
POSTED
Today
Job Description

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
  • Lead large-scale cloud engineering initiatives with enterprise-wide impact
  • Design and automate cloud infrastructure using Infrastructure as Code (Terraform)
  • Develop standards, best practices, and scalable engineering solutions
  • Build and enable secure cloud environments across Azure and GCP
  • Implement and optimize AI/ML cloud services and supporting infrastructure
  • Troubleshoot complex cloud platform and performance issues
  • Collaborate with product, security, and architecture teams to deliver robust solutions
  • Ensure compliance with enterprise security, governance, and control policies
  • Support CI/CD pipelines and DevOps automation strategies
Required Qualifications
  • 5+ years of Software Engineering or Cloud Engineering experience
  • 3+ years of hands-on experience with Microsoft Azure and/or Google Cloud Platform (GCP)
  • 2+ years of Infrastructure as Code experience using Terraform and GitHub
  • Proven experience building complex infrastructure programmatically
  • Experience with at least three of the following services:

    • Azure AI Foundry
    • Azure Machine Learning
    • Azure AI Search
    • Document Intelligence / Document AI
    • Vertex AI
  • Strong understanding of Kubernetes-based infrastructure (AKS, GKE)
  • Experience with CI/CD, DevOps, and automation best practices
Preferred Qualifications
  • Experience with cloud governance, logging, and monitoring tools
  • Knowledge of networking, firewalls, load balancing, RBAC, and cloud security
  • Experience with container-based platforms and large-scale Kubernetes deployments
  • Scripting experience (Python, Shell)
  • Understanding of Agentic AI frameworks (LangChain, ADK, MCP, etc.)
  • Cloud certifications (Azure and/or GCP)
  • Experience working in large enterprise environments
What We're Looking For
  • Strong technical leadership and problem-solving skills
  • Ability to evaluate complex, multi-parameter cloud challenges
  • Excellent communication skills with technical and business stakeholders
  • Experience working in globally distributed, matrixed teams
  • Delivery-focused mindset in fast-paced enterprise environments

About the Company

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Strategic Staffing Solutions

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