Software Engineer - Infrastructure

Gumloop; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Generous PTO

Wellness stipend

Remote work flexibility

401k match

Equity

Job summary

Gumloop in San Francisco seeks an Infrastructure Engineer to own and scale the systems powering its AI infrastructure. You will architect and roll out large-scale infrastructure projects, define the technical roadmap, and work directly with the founders to improve reliability, security, and performance.

Focus areas include infrastructure for agent orchestration, sandboxing, and hosted MCP services. This is a high-ownership role at a fast-moving startup with significant impact on reliability and

Qualifications

• Hands-on with Kubernetes, Docker, Redis, GCP, Terraform, Prometheus, and CI/CD.
• Own infra at scale in a fast-moving environment.
• Strong software fundamentals; own projects from architecture to production.
• Comfort in a small team with ownership, autonomy, speed.
• Strong communication with customers and founders.

Responsibilities

• Architect and roll out large-scale infrastructure projects independently
• Build and scale infra for agent orchestration, sandboxing, and MCP services
• Define the technical roadmap and speak with customers to inform priorities
• Work with founders to improve reliability and scalability
• Design and maintain Kubernetes clusters, CI/CD pipelines, and GCP infra
• Ensure high availability, security, observability, and performance

Skills

Kubernetes

Docker

Redis

GCP

Terraform

Prometheus

CI/CD

Tools

Kubernetes

Docker

Redis

GCP

Terraform

Prometheus

CI/CD

Job description

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:

• 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

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%