Senior Software Engineer, Convert (Backend/Infra)

<p>At Webflow, we're building the world's leading Agentic Marketing Experience Platform, and we're doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we're here to build it together.</p> <p>We are looking for a backend-leaning Senior Software Engineer who is energized by distributed systems, cares about reliability as a feature, and wants to own infrastructure rather than hand it off to join to the Convert team, here you will build the systems that tell Webflow customers what to fix on their site, and then the agentic workflows that go fix it for them: technical and content recommendations, Forms, our AI workflow platform, and the agent builder customers use to compose and run their own agentic workflows. We're a product engineering team that owns its own infrastructure, and that surface keeps growing as we scale an agentic recommendations platform that does real work on customers' behalf. You will help us move from systems that react to failure toward systems that are resilient to it.<br><br></p> <h1><strong>About the role:</strong></h1> <ul> <li>Location: Remote-first (Argentina)</li> <li>Permanent, full-time employee (this is not a contractor position)</li> <li>Application Information: <ul> <li>Application deadline: applications accepted on an ongoing basis until position is closed and filled</li> <li>This posting is for a new position.</li> </ul> </li> </ul> <p>As a <strong>Senior Software Engineer</strong> on the Convert team, you'll:</p> <ul> <li>Design, build, and operate the distributed backend systems behind our recommendations pipeline and our AI workflow execution engine, primarily in Python and TypeScript/Node.js.</li> <li>Own and harden the infrastructure our products run on, including our AI workflow platform on AWS and Kubernetes: improving reliability, observability, and scalability, not just consuming infra built elsewhere.</li> <li>Strengthen how our systems handle failure: eventing and streaming, retries, backpressure, and recovery, so a single outage doesn't turn into days of replay.</li> <li>Reduce single points of failure across our infrastructure and share operational and on-call ownership, so no critical system depends on any one person.</li> <li>Design clean service and API boundaries, and write and optimiz