Senior Infrastructure Engineer, Cloud

About the Role

We're looking for a Senior Infrastructure Engineer to improve reliability and stability of Webflow's customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you'll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month.

• Location: Remote-first (Argentina)
• Permanent, full-time employee (this is not a contractor position)

As an Senior Infrastructure Engineer you will:

• Own and evolve the cloud substrate that Webflow's product and engineering teams depend on, including our compute layer, EKS fleet, networking, and cloud operations across AWS and GCP.
• Design and maintain the networking fabric that connects Webflow's services, ensuring reliability, security, and scalability across our cloud environments.
• Build and enforce guardrails around IAM, SCPs, and scoping permissions that keep infrastructure secure and auditable without slowing engineers down.
• Drive FinOps across Webflow's cloud footprint, owning cost attribution, right-sizing recommendations, and surfacing waste before it becomes a problem.
• Partner with Infra teams on instance type selection, capacity planning, and right-sizing decisions that impact application performance.
• Build and maintain AI-powered automation that improves how we manage cloud infrastructure, from policy-as-code and drift detection to LLM-assisted runbook generation.
• Help define the culture of this growing team as it expands its international presence.

About you

You'll thrive as a Senior Infrastructure Engineer if you:

• Have a background as an infrastructure or cloud engineer with an enthusiasm for automation and code, or a background as a software engineer with deep enthusiasm for cloud infrastructure and distributed systems.
• Have 5+ years of experience owning and operating cloud infrastructure in a customer-facing environment that allows for little to no downtime.
• Have deep hands-on experience with AWS and a strong opinion on what good cloud operations look like.
• Have experience managing Kubernetes clusters at scale, including upgrades, node group management, autoscaling, and cluster add-on lifecycle.
• Have experience with infrastructure-as-code tools like Pulumi or Terraform, and a strong preference for changes made through code, not consoles.
• Have experience navigating multi-region or multi-cloud environments on AWS or GCP.
• Stay curious and open to growth, demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

It would be a bonus if you had even one of the following:

• Experience with Karpenter, cluster autoscaler, or other Kubernetes.