Senior AI Infrastructure Engineer

We're Hiring: Senior AI Infrastructure Engineer
Experience: 10–15 Years
Location: Remote – United States (US Time Zones; Pacific Time Preferred)
Employment Type: Full-Time
About the Role
We are looking for an experienced Senior AI Infrastructure Engineer to design, build, and own production-grade infrastructure supporting AI agent systems across multiple cloud providers.
This is a hands-on senior individual contributor role with significant ownership of cloud infrastructure architecture, automation, deployment systems, security, and reliability.
You will take primary ownership of either the Azure or Oracle Cloud Infrastructure (OCI) environment while supporting AWS and GCP. You will also build automation frameworks and self-service tooling to improve developer productivity and streamline infrastructure operations.
Key Responsibilities
Design, build, and maintain production-grade infrastructure for AI agent systems.
Own and manage cloud infrastructure across Azure or OCI, with support for AWS and GCP.
Build scalable and portable infrastructure across enterprise customer environments.
Deploy and manage containerized applications using Kubernetes and Docker.
Design and maintain infrastructure-as-code solutions using Terraform.
Build and manage CI/CD pipelines and GitOps-driven deployment workflows.
Implement automated deployment processes using ArgoCD, FluxCD, and related tools.
Develop reusable automation frameworks and self-service tooling for DevOps and engineering teams.
Automate infrastructure provisioning, secret rotation, compliance checks, dependency updates, and release management.
Improve infrastructure observability, security, scalability, and reliability.
Support AI infrastructure and High-Performance Computing (HPC) workloads.
Collaborate with product and platform engineering teams to improve infrastructure efficiency and developer productivity.
Requirements
10–15 years of overall professional experience in Cloud Infrastructure Engineering.
Previous experience as a Cloud Infrastructure Engineer or AI Infrastructure Engineer.
Strong hands-on expertise in Kubernetes and Terraform.
Experience with at least one major cloud platform: Azure, Oracle Cloud Infrastructure (OCI), AWS, or GCP.
Experience designing and owning CI/CD systems, pipeline architecture, GitOps-driven deployments, and release automation.
Hands-on experience with Argo, ArgoCD, FluxCD, and container orchestration workflows.
Proven experience building automation frameworks and self-service tooling for DevOps and developer workflows.
Experience working with AI infrastructure and High-Performance Computing (HPC).
Strong scripting skills in Python and/or Bash.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline.
Must be based in US time zones, preferably aligned with US Pacific Time.
Visa: Open to eligible visa transfers, including H-1B and OPT-related transfers.

Skills
Python, AWS, Azure, GCP, Docker, Kubernetes, CI/CD

Experience
10-15 yrs

Work arrangement
Yes