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