Senior/Lead DevOps Engineer (GCP)

TL;DR

Senior/Lead DevOps Engineer (GCP/AWS/Azure): Designing and operating secure cloud infrastructure and AI-powered workloads for enterprise and banking clients with an accent on landing zones, IAM, and GPU-accelerated workloads. Focus on building CI/CD pipelines, implementing cost optimization strategies, and deploying LLM inference platforms.

Location: US-based role (New York City, Jersey City, Lake Mary, FL, or Pittsburgh)

Salary: $113,120–$141,400 annually

Company

hirify.global is a leading provider of cloud engineering and AI infrastructure services for high-profile 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 deployment and operations of AI/ML infrastructure, including GPU-accelerated workloads and LLM inference platforms.
• Build and maintain CI/CD pipelines and infrastructure-as-code using Terraform, Jenkins, and GitLab.
• Implement cost optimization strategies across production and non-production environments.
• Ensure compliance and security best practices for handling sensitive data in regulated industries.
• Mentor 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 at least one major cloud provider (AWS, Azure, or GCP).
• 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, preferably in the banking or finance sectors.
• Must be based in the USA.

Nice to have

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

Culture & Benefits

• Equal opportunity employer ensuring diversity and inclusion.
• Opportunity to work with high-profile, security-conscious clients in regulated industries.
• Exposure to cutting-edge AI/ML and cloud infrastructure projects.