--- title: 'Software Engineer - Infrastructure at Gumloop' canonical: 'https://feeny.ai/job/software-engineer-infrastructure-gumloop-san-francisco-hzhp4m57wmgg' type: 'job' last_seen: '2026-09-09' --- # Software Engineer - Infrastructure at Gumloop - **Company:** Gumloop - **Location:** San Francisco, CA - **Compensation:** $185k–$285k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-01 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/gumloop/35729200-4460-40a6-8972-508bd1d0f6b5/application **Skills:** GCP, Kubernetes, Docker, Redis, Terraform, Prometheus, CI/CD, Cloud Infrastructure, AI/ML Infrastructure, Model Serving > The Senior Infrastructure Engineer will own and scale the systems powering Gumloop's AI automation platform. This role involves architecting large-scale infrastructure projects, defining technical roadmaps, and collaborating directly with founders to ensure reliability and performance. ## 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 https://www.gumloop.com/blog/series-b 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 https://www.gumloop.com/handbook - Our adventures – Wall of Photos https://www.gumloop.com/photos - What we’re working on – Changelog https://www.gumloop.com/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% ## About Gumloop ## Company Overview - **One-liner**: Gumloop is a no‑code AI automation platform that enables non‑technical teams to build and deploy AI agents for work workflows. - **Entity Type**: Private (Series B, raised $50M led by Benchmark) - **Headquarters**: San Francisco, California, USA - **Founded**: 2023 - **Founders**: Max Brodeur‑Urbas (co‑founder; additional co‑founders not publicly named) ## Core Business - **Primary industry**: AI‑powered workflow automation / No‑code AI agent platform - **Target customers**: Mid‑market and enterprise teams (Marketing, Sales, Ops, Support, Engineering) — primarily B2B - **Mission**: “To make everyone an AI engineer” — help users get promoted, help their companies go AI‑native, and help everyone focus on work that matters. ## Products & Services - **Gumloop Platform** (SaaS): A drag‑and‑drop canvas for building multi‑step AI agent workflows. Users connect modular components to automate repetitive tasks without writing code. Includes pre‑built agents: - **Data Analysis Agent** – answers questions from data warehouses. - **Support Agent** – triages bugs, creates tickets, spots support patterns. - **Call Analysis Agent** – surfaces objection patterns, coaching insights, competitive intelligence from call recordings. - **CRM Agent** – manages deals, researches prospects, keeps CRM updated. - **Meeting Prep Agent** – auto‑generates briefs before meetings. - **Gumstack** (Logging & Analytics Layer): A single source of truth for all AI activity across the organisation; traces every tool call and MCP interaction. - **Enterprise Features**: SSO/SCIM, role‑based access control, audit logging, AI model restrictions, usage monitoring, VPC deployment, bring‑your‑own‑API‑key proxy. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company) - **Key Metric**: **Total Funding** – $70.2M across four rounds (Seed $3.1M, Series A $17M, Series B $50M) as of March 2026. - **Notable Investors/Partners**: Benchmark (Series B lead), Nexus Venture Partners (Series A lead), First Round (Seed lead), Y Combinator (Winter 2024 batch). - **Growth Signals**: - Headcount grew 130.8% year‑over‑year (40 employees, +7.1% monthly). - Trusted by enterprise clients including Shopify, DoorDash, Instacart, and Webflow. - SOC 2 Type II certified and GDPR compliant. - Multiple pre‑built agent templates and enterprise features added in the last year. ## Competitive Advantages - **No‑code accessibility**: Non‑technical teams can build complex AI agents as fast as they can type, eliminating engineering bottlenecks. - **Zero Data Retention**: Gumloop never uses customer data to train AI models; DPAs and ZDR agreements with third‑party model providers. - **Enterprise‑grade security**: SOC 2 Type II, VPC deployments, audit logging, role‑based access, and AI model restrictions. - **Model agnostic**: Supports multiple AI models with no vendor lock‑in; customers can bring their own API keys and proxies. ## Strategic Focus - **Current priorities**: Scaling the platform for enterprise adoption, expanding the Gumstack observability layer, and deepening integrations with internal and external data sources. Recent focus on “making everyone an AI engineer” through self‑serve automation. ## Why Work Here - **Culture**: Very small, world‑class team (≈40 people) building infrastructure used by some of the largest companies. Emphasis on impact and speed. - **Interview process**: Includes a paid work trial — candidates spend a day working on the product alongside founders to assess mutual fit. - **Mission‑driven**: “Help our users get promoted, help their company go AI‑native, and help everyone focus on work that matters.” - **Work policy**: Not explicitly stated as fully remote/hybrid; headquarters in San Francisco. Likely a hybrid or in‑office preference given the small team, but check during application. - **Notable perks**: Direct access to founders, fast decision‑making, and chance to shape the future of AI automation. ## Sources 1. [gumloop.com](https://www.gumloop.com/) – Official website (product, features, security, Series B announcement) 2. [gumloop.com/careers](https://www.gumloop.com/careers) – Careers page (mission, team size, interview process) 3. [ycombinator.com](https://www.ycombinator.com/companies/gumloop) – Y Combinator profile (founding, funding timeline, team size) 4. [linkedin.com](https://ca.linkedin.com/company/gumloop) – LinkedIn company page (headcount, funding details, culture, customers) ## Other roles at Gumloop - [Founding Product Designer](https://feeny.ai/job/founding-product-designer-gumloop-san-francisco-vgf07annx5ym) — San Francisco, CA - [Solutions Engineer (Pre-Sales)](https://feeny.ai/job/solutions-engineer-pre-sales-gumloop-san-francisco-44damqh296t5) — San Francisco, CA - [Founding Customer Success Manager](https://feeny.ai/job/founding-customer-success-manager-gumloop-san-francisco-45fhqjtyc5wy) — San Francisco, CA - [Staff Brand Designer](https://feeny.ai/job/staff-brand-designer-gumloop-san-francisco-pwhn47kymmew) — San Francisco, CA - [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-gumloop-san-francisco-bm03jjgxrpv5) — San Francisco, CA - [Head of Marketing](https://feeny.ai/job/head-of-marketing-gumloop-san-francisco-adaan4syw8h2) — San Francisco, CA - [GTM Engineer](https://feeny.ai/job/gtm-engineer-gumloop-san-francisco-tgzb6pq36s1s) — San Francisco, CA - [Design Engineer Intern](https://feeny.ai/job/design-engineer-intern-gumloop-san-francisco-gmenjhabcb5f) — San Francisco, CA - [Design Engineer](https://feeny.ai/job/design-engineer-gumloop-san-francisco-xrrhdr8w02yb) — San Francisco, CA - [Software Engineer - Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-mercury-san-francisco-ca-new-york-ny-portland-yk5x9b8p65t9) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States