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Résumé du poste

Architect and scale infrastructure for agent orchestration, sandboxing, and hosted MCP services. Collaborate with founders to improve system reliability, security, and performance while managing Kubernetes clusters and CI/CD pipelines on GCP.

Détails du poste

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% Compensation Range: $185K - $285K

Ce que vous ferez

Architect and scale infrastructure for agent orchestration, sandboxing, and hosted MCP services. Collaborate with founders to improve system reliability, security, and performance while managing Kubernetes clusters and CI/CD pipelines on GCP.

Exigences

Requires hands-on experience with Kubernetes, GCP, and Terraform, with a proven track record of owning infrastructure at scale. Candidates should possess strong software engineering fundamentals and the ability to work autonomously in a fast-paced startup environment.

Avantages

• Competitive Salary • Equity • Paid Time Off • Wellness Benefit • Temporary Remote Work Flexibility • 401k Match

Compétences indiquées

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

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Kubernetes
• Docker
• Redis
• GCP
• Terraform
• Prometheus
• CI/CD
• Infrastructure Architecture
• Agent Orchestration
• Agent Sandboxing
• Distributed Systems
• Cloud Infrastructure
• Software Engineering
• Observability
• Security
• Scalability

Domaines d’emploi

• Software
• Technology
• Engineering
• Data & Analytics