Platform SRE: Scalable, Secure Infra for Agent Fleets

Zof AI; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Zof AI in San Francisco is seeking a Site Reliability Engineer to own the execution layer of our control plane, including Kubernetes, containers, CI/CD, and isolation for untrusted code. You’ll manage scalable production infrastructure with a focus on security, reliability, and cost efficiency.

The role involves operating on-site in San Francisco, collaborating with engineers to ship safely and cost-effectively, and continuously improving observability and automation across large agent fleets.

Qualifications

• Experience running production infrastructure on major cloud platforms.
• Hands-on with Kubernetes, containers, and orchestration.
• Experience building CI/CD pipelines and infrastructure as code.
• Familiarity with observability, monitoring, and on-call practices.
• Judgment about security, reliability, and cost trade-offs.
• Daily use of AI tools to automate operational and engineering work.

Responsibilities

• Design and operate sandboxed environments for agents to reproduce defects and validate fixes.
• Own Kubernetes, container, and compute infrastructure end to end.
• Build CI/CD pipelines enabling rapid and safe ship cycles.
• Harden isolation boundaries to keep untrusted code inside its sandbox.
• Instrument fleet health with metrics, logs, tracing, and alerts to catch failures early.
• Drive down cost per agent run through scheduling, autoscaling, and capacity work.

Skills

Cloud platforms

Kubernetes

CI/CD pipelines

Infrastructure as code

Observability

Security awareness

Tools

Terraform/Pulumi

Monitoring/Logging

CI/CD tooling

gVisor

Firecracker

Job description

Zof AI in San Francisco is seeking a Site Reliability Engineer to own the execution layer of our control plane, including Kubernetes, containers, CI/CD, and isolation for untrusted code. You’ll manage scalable production infrastructure with a focus on security, reliability, and cost efficiency.

The role involves operating on-site in San Francisco, collaborating with engineers to ship safely and cost-effectively, and continuously improving observability and automation across large agent fleets.