Software Engineer - Infrastructure

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:

Our beliefs – The Handbook

Our adventures – Wall of Photos

What we’re working on – Changelog

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

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

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