AI Infrastructure Engineer

Remote (US Time Zones) | $230K–$275K Base | Full-Time

About the Opportunity

We're recruiting for a fast-growing, venture-backed enterprise AI company that has raised $70M from leading investors. The company is building a multi-agent AI platform that automates complex enterprise transformations, dramatically reducing the time and cost of modernizing critical business systems.

This is a hands-on, senior individual contributor opportunity with meaningful architectural ownership. You'll build and operate production-grade infrastructure supporting AI agents across multiple cloud environments.

What You'll Own

• Design and operate scalable, production-grade AI infrastructure across Azure, Oracle Cloud, AWS, and GCP.
• Take primary ownership of Azure or Oracle Cloud infrastructure architecture and deployments.
• Build and manage Kubernetes environments using Terraform and infrastructure as code.
• Design and own CI/CD systems, GitOps deployments, and automated release workflows.
• Build reusable DevOps automation, provisioning tools, and developer self-service infrastructure.
• Improve reliability, observability, security, and performance across enterprise customer environments.
• Partner with engineering teams to support secure, repeatable deployments.

What We're Looking For

• Approximately 10–15 years of cloud infrastructure, platform engineering, DevOps, or SRE experience.
• Deep, hands-on experience with Kubernetes, Terraform, and production CI/CD architecture.
• Experience with ArgoCD, FluxCD, GitOps, or equivalent deployment automation.
• Strong experience with Azure, Oracle Cloud, AWS, or GCP, ideally including Azure or OCI.
• Experience supporting AI/ML infrastructure or high-performance computing workloads.
• Strong scripting and automation skills using Python, Bash, or similar tools.
• Proven ownership of complex infrastructure systems from architecture through production.
• College degree.
• Ability to work within US time zones, preferably aligned with Pacific Time.

Compensation & Flexibility

• Base salary: $230,000–$275,000
• Location: Fully remote within US time zones
• Schedule: Pacific Time alignment preferred
• Travel: Minimal
• Impact: Direct ownership of critical infrastructure at a well-funded, growing AI company

This is an opportunity for an experienced infrastructure engineer who wants to remain hands-on, make important architectural decisions, and help build the foundation of an emerging enterprise AI platform.