SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Webflow is seeking a Senior Software Engineer to build and evolve Webflow Cloud, a platform that helps builders and marketing practitioners create, deploy, and run full-stack web applications with AI agent assistance.
In this role, you will:
- Build and operate reliable cloud services on AWS and Cloudflare, leveraging experience with compute, storage, networking, and managed infrastructure
- Evolve the infrastructure powering web applications and AI agents on Webflow Cloud
- Participate in on-call rotation, investigate production incidents, and drive improvements to prevent recurring issues
- Utilize CDN and edge compute capabilities to help customers deliver fast, resilient websites and applications globally
- Own features end-to-end from customer problem identification through design, implementation, rollout, and ongoing improvement
- Use AI-assisted development practices to accelerate delivery while maintaining sound engineering judgment and code quality accountability
- Contribute to engineering citizenship activities including co-authoring engineering blogs, strengthening hiring processes, and leading internal hackathon teams
You will report to the Senior Engineering Manager, Cloud, in a permanent, full-time role.
REQUIREMENTS:
- BA/BS degree or equivalent professional experience
- 5+ years building and operating backend services in production
- Demonstrated experience in backend service design, including defining service boundaries, contracts, and data ownership
- Business-level fluency in English (reading, writing, and speaking)
PREFERRED QUALIFICATIONS:
- Experience building and operating production services on AWS, Cloudflare, or similar cloud platforms
- Experience designing data models, optimizing queries, and operating production databases such as PostgreSQL or MongoDB
- Fluency in TypeScript and Node.js, with comfort using edge runtimes
- Understanding of modern website and web application architecture, including HTTP, caching, CDNs, and edge compute
- Best practices knowledge for performance, security, accessibility, and reliability
- Ability to take ownership of features from early discovery through delivery and ongoing operation
- Effective use of AI in personal or professional development practices
- Pragmatic technical decision-making that balances customer needs, delivery speed, and long-term maintainability
