Senior AI Infrastructure & Cloud Engineer (Azure, GCP)

TL;DR

Senior AI Infrastructure & Cloud Engineer (Azure/GCP): Designing and optimizing enterprise AI platforms and cloud infrastructure with an accent on cloud migration, AI platform adoption, and operational excellence. Focus on automating infrastructure via IaC, building CI/CD pipelines, and ensuring high availability and security in a regulated environment.

Location: Remote (USA). Unable to hire candidates who live in NY, NJ, CA, or MA. Sponsorship is not available. Travel to Chattanooga, TN required for final interviews.

Company

hirify.global is a large health insurance provider dedicated to providing peace of mind through better health.

What you will do

• Provide technical leadership for the installation and support of cloud software and services for production implementations.
• Automate infrastructure and services using Infrastructure as Code (IaC) and CI/CD pipelines.
• Design cloud services and tools that meet business needs while balancing performance, security, and cost.
• Handle day-to-day cloud operations, including monitoring metrics, analyzing logs, and system troubleshooting.
• Collaborate with architecture and development teams to determine the optimal environment (on-prem vs cloud) for workloads.
• Guide the evaluation and migration of on-premises systems to highly redundant cloud environments to ensure scalability and business continuity.

Requirements

• Bachelor's degree in Computer Science or related field, or equivalent experience.
• 5+ years of experience in Cloud Infrastructure and Software Engineering.
• Deep proficiency with Azure and/or GCP.
• Experience with enterprise AI platforms such as Azure AI Foundry or Google Gemini Enterprise.
• Strong knowledge of Docker, Kubernetes, Terraform, Ansible, and Git-based products (GitHub, Bitbucket).
• Must be based in the US (excluding NY, NJ, CA, MA).

Nice to have

• Experience working in regulated industries such as healthcare, government, or finance.

Culture & Benefits

• Fully remote work arrangement.
• Opportunity to lead the adoption and scaling of enterprise AI tools.
• Environment focused on technical innovation, security, and governance.