Specialty Software Engineer (AI Infrastructure)

TL;DR

Specialty Software Engineer (AI Infrastructure): Leading enterprise-scale cloud initiatives focusing on Infrastructure as Code (IaC), automation, and building secure, scalable AI/ML-enabled cloud platforms. Focus on optimizing AI/ML cloud services, ensuring enterprise security, and solving multi-parameter cloud challenges.

Location: Hybrid (3 Days Onsite) in Irving, TX | Concord, CA | Phoenix, AZ | Charlotte, NC

Company

hirify.global provides IT and business solutions.

What you will do

• Lead large-scale cloud engineering initiatives with enterprise-wide impact.
• Design and automate cloud infrastructure using Infrastructure as Code (Terraform).
• Implement and optimize AI/ML cloud services and supporting infrastructure.
• 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.

Requirements

• 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.
• Strong understanding of Kubernetes-based infrastructure (AKS, GKE).
• Experience with CI/CD, DevOps, and automation best practices.

Nice to have

• 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.).

Culture & Benefits

• 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.