About Us
Gumloop is the piece of AI infrastructure companies roll out to let everyone build agents securely. Let people who understand the problem build and share agents, manage their access to data, choose your AI models and host it all in your own cloud.
We're a small team building as fast as humanly possible. Gusto, Ramp, Shopify, Samsara, Instacart, and Opendoor are running agents on Gumloop across their company. We've raised over $70M from Benchmark, First Round Capital, Y Combinator, Nexus Ventures to scale and are looking for people who care as much as we do to join the team.
Here’s what life at Gumloop is like:
Role Overview
We're looking for an Infrastructure Engineer to own and scale the systems that power Gumloop. You'll architect and roll out large scale infrastructure projects independently, help define our technical roadmap, and work directly with the founders to improve reliability, security, and performance.
Our current focus areas include infrastructure for agent orchestration, agent sandboxing, and hosted MCP services. This is a high-ownership role for someone who wants to solve challenging infrastructure problems at a company at the edge of AI.
What You'll Do
Architect, implement, and roll out large-scale infrastructure projects independently
Build and scale infrastructure supporting agent orchestration, agent sandboxing, and hosted MCP services
Help define the technical roadmap and speak directly with customers to inform priorities
Work directly with the founders to improve the reliability and scalability of our infrastructure
Design and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure on GCP
Ensure high availability, security, observability, and performance across our systems
What You Bring
Hands-on experience with Kubernetes, Docker, Redis, GCP, Terraform, Prometheus, and CI/CD
A track record of owning infrastructure at scale in a fast-moving environment
Strong software engineering fundamentals and the ability to own projects from architecture through production
Comfort working in a small team where ownership, autonomy, and speed are expected
Strong communication skills, including the ability to speak with customers and collaborate directly with founders
Bonus
Experience at a high-growth startup scaling infrastructure rapidly
Exposure to AI/ML infrastructure and model serving
Experience with agent orchestration, sandboxing, MCP, or related distributed systems
Benefits
Highly competitive salary and meaningful equity
Generous paid time off: 24 days for SF employees and 20 days globally, use them as you need
$350/month wellness benefit to spend on gym, spa, equipment, or whatever keeps you at your best
15 days of temporary remote work flexibility per year
401k match up to 6%
