Senior Infra Engineer: Scale Global Kubernetes & LLM Infra

Ivo; San Francisco (CA); On-site; USD 249,000 - 405,000; Full time

Benefits offered by this job

Competitive Compensation

Equity

Relocation and Visa Support

Health & Wellness

Flexible Spending & Insurance

401(k) Program

Commuter Benefits

Unlimited PTO

Office Perks

Job summary

Ivo is hiring an Infrastructure Engineer to own the foundation of our contract intelligence platform. You will operate Kubernetes at scale, build internal tooling for cluster provisioning, and design workload isolation between ML and API traffic.

You’ll work across multi-region deployments, emphasizing reliability, security, and incident resilience. We value hands-on DevOps/infra expertise and a strong drive to solve hard end-to-end problems, with a bias toward practical, scalable solutions in a

Qualifications

• Infrastructure Engineers build the foundation for Ivo's platform with containerized environments, multi-region deployments, and reliable incident handling.
• You should have hands-on experience with Kubernetes architectures, scheduling, networking, and storage, plus a knack for diagnosing complex failures.
• Proficiency in IaC and CI/CD, ideally Pulumi or Terraform, Docker, and GitHub Actions across multi-cluster setups.

Responsibilities

• Run multi-cluster, multi-region deployments across AWS/GCP/Azure with failover and DR that works in production.
• Build internal tools to spin up and manage clusters, ensuring consistency from dev to prod.
• Design workload isolation strategies for ML vs API traffic balancing cost, performance, and reliability.

Skills

Kubernetes

IaC (Pulumi/Terraform)

CI/CD (GitHub Actions)

Docker

Distributed systems

Observability

Security best practices

Problem solving

Tools

Pulumi

Terraform

Docker

GitHub Actions

Kubernetes

Job description

Ivo is hiring an Infrastructure Engineer to own the foundation of our contract intelligence platform. You will operate Kubernetes at scale, build internal tooling for cluster provisioning, and design workload isolation between ML and API traffic.

You’ll work across multi-region deployments, emphasizing reliability, security, and incident resilience. We value hands-on DevOps/infra expertise and a strong drive to solve hard end-to-end problems, with a bias toward practical, scalable solutions in a