Senior Infrastructure Engineer

Gumloop

San Francisco Office; Vancouver OfficeOnsiteFull TimeSalary not listed

Job details

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 very 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 operations and are looking for people who care as much as we do to join the team.

Role Overview

We're looking for a Senior Infrastructure Engineer to own and scale the systems that power Gumloop. You'll architect and roll out large-scale infrastructure projects independently, define our technical roadmap, and work directly with founders daily to push reliability and performance. This is a high-ownership role for someone who wants to solve hard infrastructure problems at a company at the edge of AI.

What You'll Do

  • Architect, implement, and roll out large-scale infrastructure projects independently

  • Help define the technical roadmap and speak directly with customers to inform priorities

  • Work directly with founders daily to improve reliability and scale our infrastructure

  • Design and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure on GCP

  • Ensure high availability, security, and performance of our systems

What You Bring

  • Hands-on experience with Kubernetes, Docker, Redis, GCP, Terraform, Prometheus, and CI/CD

  • Track record of owning infrastructure at scale in a fast-moving environment

  • Comfort working in a small team where ownership and speed are expected

  • Strong communication skills — you can talk to customers and collaborate directly with founders

Bonus

  • Experience at a high-growth startup scaling infrastructure rapidly

  • Exposure to AI/ML infrastructure and model serving

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%