Senior Staff Engineer - Infrastructure and Architecture

Webflow Webflow · Enterprise · CA · Remote · Engineering

Senior Staff Engineer role focused on architecting and scaling the infrastructure for AI-powered products within Webflow's Digital Experience Platform. The role involves defining technical strategy, ensuring system quality, reliability, and performance, and driving architectural decisions to enable faster delivery of AI experiences.

What you'd actually do

  1. Partner with engineering leadership, EMs, and Product Managers to define and deliver AI products across a broad set of user scenarios
  2. Architect scalable, high-performance systems that support a growing number of AI-powered products
  3. Drive technical strategy and make architectural decisions that compound - enabling the team to ship more AI experiences faster
  4. Own the engineering quality, reliability, and performance of AI products as complexity and scale increase

Skills

Required

  • 10+ years of experience building and operating distributed systems in high-availability, customer-facing environments
  • architected and scaled large backend systems across multiple teams or product areas
  • deep expertise in distributed systems design (consistency models, fault tolerance, scaling patterns, observability)
  • hands-on experience designing and scaling multi-region environments in AWS or GCP
  • strong experience with containerized systems (Kubernetes, EKS/GKE, ECS, etc.)
  • fluent in infrastructure-as-code tooling such as Terraform or Pulumi
  • strong API and service architecture experience
  • led performance optimization efforts at scale
  • backend-leaning, but comfortable navigating full product stacks when necessary (TypeScript, Node, Go, etc.)
  • demonstrated the ability to influence technical direction beyond your immediate team
  • thoughtful system design and pragmatic decision-making
  • Mentor senior engineers and elevate architectural thinking across an organization

Nice to have

  • Experience evolving fast-moving growth systems into durable, scalable platforms
  • Experience supporting AI-assisted product experiences (AI expertise not required)
  • Experience in platform-heavy domains such as payments, APIs, or core backend services
  • Experience at high-growth or smaller companies where you owned architectural direction
  • Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact

What the JD emphasized

  • architect scalable, high-performance systems that support a growing number of AI-powered products
  • Own the engineering quality, reliability, and performance of AI products as complexity and scale increase

Other signals

  • architect scalable, high-performance systems that support a growing number of AI-powered products
  • Drive technical strategy and make architectural decisions that compound - enabling the team to ship more AI experiences faster
  • Own the engineering quality, reliability, and performance of AI products as complexity and scale increase