Senior/Lead DevOps Engineer (ML/AI)

TL;DR

Senior/Lead DevOps Engineer (ML/AI): Designing and operating GCP infrastructure and AI-powered workloads for high-profile, security-conscious clients with an accent on secure cloud infrastructure and LLM inference platforms. Focus on building CI/CD pipelines, managing GPU-accelerated workloads, and ensuring compliance in regulated industries such as banking.

Location: Onsite in New York City, Jersey City, Lake Mary (FL), or Pittsburgh

Salary: $113,120–$141,400 annually

Company

hirify.global is a global technology company providing secure, large-scale cloud and AI infrastructure modernization for enterprise and banking sectors.

What you will do

• Design, deploy, and maintain secure cloud infrastructure, including landing zones, IAM, and network security across AWS, Azure, or GCP.
• Lead the deployment and operations of AI/ML infrastructure, focusing on GPU-accelerated workloads and LLM inference platforms.
• Build and maintain robust CI/CD pipelines and infrastructure-as-code using Terraform, Jenkins, and GitLab.
• Implement cost optimization strategies across production and non-production environments.
• Ensure strict compliance and security best practices for handling sensitive data in regulated industries.
• Mentor fellow engineers and act as the primary technical point of contact for client engagements.

Requirements

• 5+ years of experience in DevOps/Cloud Engineering with strong hands-on experience in AWS, Azure, or GCP.
• Proven expertise with Kubernetes, Docker, and container orchestration at scale.
• Strong scripting and automation skills using Python, Bash, and Terraform.
• Experience with IAM, network security, and compliance frameworks, ideally within the banking or finance sector.
• Must be based in the US (New York City, Jersey City, Lake Mary, or Pittsburgh).

Nice to have

• Familiarity with AI/ML infrastructure and LLM deployment tooling.
• Professional cloud provider certifications at the Architect, Engineer, or Network Engineer level.