Senior/Lead DevOps Engineer (Multi-Cloud & On-Prem Infrastructure)

TL;DR

Senior/Lead DevOps Engineer (Multi-Cloud & On-Prem Infrastructure): Designing and managing hybrid infrastructure including on-premises GPU clusters and multi-cloud environments for enterprise banking clients with an accent on Kubernetes, security-critical AI/ML workloads, and banking-grade compliance. Focus on deploying secure landing zones, optimizing CI/CD pipelines, and managing complex IAM/SSO integrations.

Location: Onsite 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 infrastructure services, delivering complex solutions for enterprise clients.

What you will do

• Build and maintain on-premises Kubernetes clusters with GPU acceleration using Rancher, BCM, or Vanilla.
• Design and deploy secure multi-cloud landing zones in GCP and Azure utilizing Terraform and Terragrunt.
• Establish and manage CI/CD pipelines via Jenkins and GitLab for infrastructure and application delivery.
• Implement identity and access management solutions including Keycloak, Azure AD, SAML, and OIDC.
• Configure networking, firewalls, VPNs, and load balancing across hybrid environments.
• Ensure all infrastructure meets strict banking-grade compliance and security standards.

Requirements

• 5+ years of experience in DevOps/Cloud Engineering with exposure to both cloud and on-premises environments.
• Strong hands-on Kubernetes experience, specifically involving GPU cluster management.
• Proficiency with Terraform, Terragrunt, Packer, and Ansible.
• Experience with IAM/SSO integration and security systems in enterprise or banking environments.
• Solid understanding of networking fundamentals (firewalls, VPNs, load balancing, peering).
• Must be based in or authorized to work onsite in the US (specifically NYC, Jersey City, Lake Mary, or Pittsburgh).

Culture & Benefits

• Equal opportunity employer environment.
• Opportunity to work with high-scale, security-critical AI/ML and business workloads.
• Direct collaboration with client stakeholders in the regulated banking industry.
• Focus on high-impact engineering within a delivery team structure.