Job description

ABOUT THE ROLE Join an early-stage B2B SaaS team as its first infrastructure engineer, owning the runtime, agent infrastructure, observability, and self-hosted deployment experience. You will work closely with the founding team, establish the platform patterns for future hires, and have a path toward leading this domain. WHAT YOU'LL DO - Build and operate a cloud runtime for integrations, including durable execution, sandboxed isolation, and resilient recovery. - Develop infrastructure for coding agents that write, test, and deploy integration code in production. - Design observability across logs, metrics, and tracing for integrations and agents. - Build and maintain single-tenant, self-hostable product deployments. - Own infrastructure and platform decisions end to end, and establish engineering practices for future infrastructure hires. - Ship production systems regularly and help grow the team responsible for this area. WHAT WE'RE LOOKING FOR - Three to nine years of professional software engineering experience, including at least three years in a fast-moving, high-growth startup environment. - Production experience operating, scaling, and debugging Kubernetes, with end-to-end ownership of cloud infrastructure or a platform. - Hands-on cloud infrastructure experience and a strong understanding of production observability across logs, metrics, and tracing. - Experience using AI coding agents effectively while applying sound production engineering judgment. - Experience building self-hosted, single-tenant product deployments is valuable. - A completed or in-progress engineering, computer science, or quantitative degree and strong technical fundamentals. COMPENSATION & BENEFITS Base salary: $175,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site five days per week in San Francisco, California. Candidates based elsewhere in the United States must have a concrete plan to relocate to San Francisco.

Requirements

Must-haves

Build and operate a cloud runtime for integrations, including durable execution, sandboxed isolation, and resilient recovery.
Develop infrastructure for coding agents that write, test, and deploy integration code in production.
Design observability across logs, metrics, and tracing for integrations and agents.
Build and maintain single-tenant, self-hostable product deployments.
Own infrastructure and platform decisions end to end, and establish engineering practices for future infrastructure hires.
Ship production systems regularly and help grow the team responsible for this area.
Three to nine years of professional software engineering experience, including at least three years in a fast-moving, high-growth startup environment.
Production experience operating, scaling, and debugging Kubernetes, with end-to-end ownership of cloud infrastructure or a platform.
Hands-on cloud infrastructure experience and a strong understanding of production observability across logs, metrics, and tracing.
Experience using AI coding agents effectively while applying sound production engineering judgment.
Experience building self-hosted, single-tenant product deployments is valuable.
A completed or in-progress engineering, computer science, or quantitative degree and strong technical fundamentals.
On-site five days per week in San Francisco, California. Candidates based elsewhere in the United States must have a concrete plan to relocate to San Francisco.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesai

Platform: ashby
Effort: quick