3-9 years of software engineering experience, with 3 years in a startup environment.
Production experience with Kubernetes, including scaling and debugging.
Hands-on experience with cloud infrastructure and observability tools.
Familiarity with AI coding agents and production engineering best practices.
Experience in building self-hosted, single-tenant deployments is a plus.
Degree in engineering, computer science, or a related field, with strong technical fundamentals.
Responsibilities
Build and operate a cloud runtime for integrations with resilient recovery features.
Develop infrastructure for coding agents that manage integration code in production.
Design observability systems for logs, metrics, and tracing.
Create and maintain self-hosted product deployments.
Make end-to-end infrastructure decisions and establish engineering practices.
Regularly ship production systems and contribute to team growth.
Benefits
Visa sponsorship available.
Full 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.
