3-9 years of software engineering experience, especially in startups.
Hands-on experience with Kubernetes in production environments.
Practical knowledge of cloud infrastructure and observability tools.
Familiarity with TypeScript, PostgreSQL, AWS, and Docker.
Degree in engineering, computer science, or a related field from a reputable university.
Experience in early-stage startups or as a funded startup founder is a plus.
Must be based in the San Francisco Bay Area or have a relocation plan.
Responsibilities
Build and manage a cloud runtime with self-healing capabilities.
Develop infrastructure for coding agents that automate integration code.
Design observability systems for integrations and agents.
Deliver a self-hostable product deployment and manage the infrastructure end to end.
Establish engineering patterns for future hires and lead the growing team.
Benefits
Visa sponsorship available, including O-1 sponsorship.
Opportunity to work closely with founders and shape engineering practices.
Potential for significant impact as the first infrastructure hire.
Work in a dynamic, early-stage B2B SaaS environment.
Full Job Description
About the Role
Join an early-stage B2B SaaS team as its first infrastructure hire, owning the runtime, agent infrastructure, observability, and self-hostable deployment platform. You will work closely with the founders, establish foundational engineering practices, and help grow the infrastructure team. What You'll Do
Build and operate a cloud runtime with durable execution, sandboxed isolation, and self-healing capabilities.
Develop infrastructure for coding agents that write, test, and deploy integration code in production.
Design observability across integrations and agents, including logs, metrics, and tracing.
Deliver a single-tenant, self-hostable product deployment and own the infrastructure platform end to end.
Set engineering patterns for future infrastructure hires, ship production improvements regularly, and help hire and lead the team as it grows.
What We're Looking For
Three to nine years of professional software engineering experience, including at least three years in fast-moving, ambiguous startup environments.
Hands-on experience operating, scaling, and debugging Kubernetes in production, with end-to-end ownership of cloud infrastructure or a platform.
Practical cloud infrastructure experience, production observability expertise across logs, metrics, and tracing, and familiarity with Kubernetes, TypeScript, PostgreSQL, AWS, and Docker.
Experience using AI coding agents effectively while applying sound production engineering judgment.
A completed or in-progress degree in engineering, computer science, or a quantitative field from a strong technical university.
Experience as a funded startup founder or as an engineer at an early-stage, well-backed startup; experience with self-hosted, single-tenant deployments is valuable.
Based in the San Francisco Bay Area and available to work on-site five days a week, or US-based with a concrete relocation plan to San Francisco.
Compensation & Benefits
Base salary is $175,000 to $300,000 USD annually. Visa sponsorship is available, including O-1 sponsorship where appropriate. Location
On-site in San Francisco, California, five days per week.
