Specialty Software Engineer 4 – Cloud AI Infrastructure
Company: S3
Location: Irving
Posted on: April 2, 2026
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Job Description:
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
Keywords: S3, Lewisville , Specialty Software Engineer 4 – Cloud AI Infrastructure, IT / Software / Systems , Irving, Texas
