Senior Software Engineer

Webflow; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Webflow is looking for aSenior Software Engineer to build and evolve Webflow Cloud, enabling builders to deploy full-stack apps with AI-assisted tooling.

Location: Remote-first (Argentina). Full-time, permanent role reporting to the Senior Engineering Manager, Cloud. Expect ownership from design through delivery and ongoing optimization.

Qualifications

• BA/BS Degree or equivalent experience.
• 5+ years building and operating backend services in production.
• Experience in backend service design including boundaries and data ownership.
• Business-level fluency in reading, writing and speaking English.

Responsibilities

• Build and operate reliable cloud services on AWS and Cloudflare.
• Evolve the infrastructure powering web apps and AI agents.
• Participate in on-call rotation, investigate incidents, and drive improvements.
• Use CDN and edge compute to deliver fast, resilient websites worldwide.
• Own features from problem through design, rollout and ongoing improvement.
• Apply AI-assisted development practices with strong validation and accountability.
• Contribute to engineering blogs, hiring processes, and internal hackathons.

Skills

Backend development

System design

TypeScript

Node.js

AWS

Cloudflare

PostgreSQL

MongoDB

English communication

Education

BA/BS Degree or equivalent experience

Tools

AWS

Cloudflare

PostgreSQL

MongoDB

Job description

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.

We’re looking for a Senior Software Engineer to build and evolve Webflow Cloud, helping builders and marketing practitioners build, deploy, and run full-stack web applications with the assistance of cloud based AI agents.

About the role:

Location: Remote-first (Argentina)

Permanent, full-time employee (this is not a contractor position)

Reporting to the Senior Engineering Manager, Cloud

Responsibilities

• Build and operate reliable cloud services on AWS and Cloudflare, drawing on experience with compute, storage, networking, and managed infrastructure.
• Evolve the infrastructure that powers web applications and AI agents on Webflow Cloud.
• Participate in the team’s on-call rotation, investigate production incidents, and drive improvements that prevent recurring issues.
• Utilize CDN and edge compute capabilities that help customers deliver fast, resilient websites and applications around the world.
• Own features from customer problem through design, implementation, rollout, and ongoing improvement.
• Use AI-assisted development practices to accelerate delivery while applying sound engineering judgment, rigorous validation, and clear accountability for code quality.
• Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams.

About you:

• BA/BS Degree or equivalent experience
• 5+ years building and operating backend services in production
• Demonstrated experience in backend service design defining service boundaries, contracts and data ownership, not only implementing within them
• Business-level fluency to read, write and speak in English

You’ll thrive as a Senior Software Engineer, Cloud, if you …

• Have experience building and operating production services on AWS, Cloudflare, or similar cloud platforms.
• Have experience designing data models, optimizing queries, and operating production databases such as PostgreSQL or MongoDB.
• Are fluent in TypeScript and Node.js, and comfortable with edge runtimes.
• Understand modern website and web application architecture, including HTTP, caching, CDNs, and edge compute.
• Apply best practices for performance, security, accessibility, and reliability.
• Take ownership of features from early discovery and technical design through delivery and ongoing operation.
• Use AI effectively in your personal or professional development practices.
• Make pragmatic technical decisions that balance customer needs, delivery speed, and lon