Senior/Lead GCP DevOps Engineer (ML/AI)

TL;DR

Senior/Lead GCP DevOps Engineer (ML/AI): Designing and operating GCP infrastructure and AI-powered workloads for high-profile clients in enterprise and banking sectors with an accent on secure landing zones and LLM inference platforms. Focus on building CI/CD pipelines, implementing cost optimization, and managing GPU-accelerated workloads.

Location: Must be based in New York City, Jersey City, Lake Mary (FL), or Pittsburgh

Salary: $144,000–$168,000 annually

Company

hirify.global is a global provider of software development and digital transformation services, specializing in cloud and AI infrastructure for enterprise and banking sectors.

What you will do

• Design and maintain secure GCP infrastructure, including VPC, IAM, VPC Service Controls, and Cloud KMS.
• Lead the deployment and operations of AI/ML infrastructure, specifically GPU-accelerated workloads and LLM inference platforms like Vertex AI and NVIDIA NIM.
• Build and manage CI/CD pipelines and infrastructure-as-code using Terraform, Jenkins, and GitLab.
• Implement cost optimization strategies across production and non-production environments.
• Ensure security best practices and compliance for sensitive data within regulated industries.
• Mentor engineers and serve as the primary technical point of contact for client engagements.

Requirements

• 5+ years of experience in DevOps/Cloud Engineering with a strong focus on Google Cloud Platform.
• Proven experience with Kubernetes, Docker, and container orchestration at scale.
• Strong scripting and automation skills in Python, Bash, and Terraform.
• Experience with IAM, network security, and compliance frameworks in regulated industries, preferably banking or finance.
• Must be based in the USA (NY, NJ, FL, or PA).

Nice to have

• Familiarity with AI/ML infrastructure and LLM deployment tooling.
• GCP Professional certifications such as Cloud Architect, Cloud Engineer, or Network Engineer.

Culture & Benefits

• Opportunity to work with high-profile, security-conscious clients in the enterprise and banking sectors.
• Exposure to cutting-edge AI/ML technologies and large-scale cloud modernization projects.
• Inclusive work environment as an equal opportunity employer.