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GumloopVerified Job Source

Software Engineer - Infrastructure

  • Vancouver, BC
  • On-site
  • Posted Sep 1, 2026
  • 1 position

US$185,000–US$285,000 / year

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Employment type
Full-time
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week

Job summary

You will architect and scale infrastructure projects to support agent orchestration, sandboxing, and hosted MCP services. You will work directly with founders to improve system reliability, security, and performance.

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 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%

What you’ll do

You will architect and scale infrastructure projects to support agent orchestration, sandboxing, and hosted MCP services. You will work directly with founders to improve system reliability, security, and performance.

Requirements

The role requires hands-on experience with Kubernetes, Docker, GCP, Terraform, and CI/CD pipelines. You must have a track record of owning infrastructure at scale and strong software engineering fundamentals.

Benefits

• Meaningful equity • Paid time off • Wellness benefit • Temporary remote work flexibility • 401k match

Listed skills

  • Kubernetes · Preferred
  • CI/CD · Preferred
  • Redis · Preferred
  • Docker · Preferred
  • Google Cloud · Preferred
  • Terraform · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Kubernetes
  • Docker
  • Redis
  • GCP
  • Terraform
  • Prometheus
  • CI/CD
  • Infrastructure architecture
  • Agent orchestration
  • Agent sandboxing
  • MCP services
  • Distributed systems
  • Software engineering
  • Scalability
  • Observability
  • Security
  • Pipelines
  • Time Off Management
  • Artificial Intelligence
  • Cloud Infrastructure
  • Communication
  • Machine Learning
  • Microsoft Certified Professional
  • Prometheus (Software)
  • Software Engineering
  • Team Building
  • Docker (Software)
  • Artificial Intelligence Infrastructure

Job areas

  • Software
  • Technology
  • Engineering
  • Data & Analytics
  • Infrastructure Software Engineer
  • Software Developer / Engineer
  • Software Developers

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