Specialty Software Engineer 4 - Cloud AI Infrastructure

Irving, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
On-site
USD0 - USD0
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Job Details

Skills

  • Specialty
  • Software
  • Engineer
  • 4
  • Cloud
  • AI
  • Infrastruc

Summary

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 (Google Cloud Platform).

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 Google Cloud Platform


  • 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 (Google Cloud Platform)


  • 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 Google Cloud Platform)


  • 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sssmi
  • Position Id: JOB-245376
  • Posted 1 hour ago

Company Info

About Strategic Staffing Solutions

Strategic Staffing Solutions (S3) is a woman-owned, global IT consulting and business services corporation that delivers staff augmentation, managed services, total workforce management programs and direct hire recruiting with industry expertise in financial services, energy and utilities, oil, healthcare and insurance, telecommunications and retail distribution. S3’s Consultants are placed with Customers through the U.S., Europe and the Americas. Founded in Detroit, MI in 1990, S3 has reported consistent growth and profit every year and carries zero debt.

S3 Diversity Statistics
S3 has a 50/50 split among male/female employees; 60% of S3 employees identify as non-white; S3 s leadership team are 50% women; S3 currently employs 73% military veterans, military spouses and military affiliates.

Staffing Industry Analysts CCWP Charter Partner
S3 is the only charter partner for Staffing Industry Analysts Certified Contingent Workforce Professional (CCWP) program- a one-of-a-kind accreditation program designed for all professionals managing corporate contingent staffing.

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