Specialty Software Engineer 4 - Cloud AI Infrastructure

Leading Utilities Organization

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

Apply

Vacancy posted 1 day ago

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