Senior Infrastructure Engineer

About the role

Webflow seeks a Senior Infrastructure Engineer to enhance the stability and performance of our customer-facing production systems, which handle millions of page views hourly. You will ensure our platform remains secure and scalable for our global user base.

Key facts

What you'll do

• Manage and advance the cloud platform supporting Webflow's products and engineering teams, including compute, EKS, serverless functions, networking, and operational aspects across AWS and GCP.
• Develop and maintain our infrastructure-as-code foundation, creating reusable patterns and components for other teams.
• Design and oversee the networking infrastructure connecting our services, ensuring reliability, security, and scalability across cloud environments.
• Enhance observability by improving dashboards, alerts, and SLOs for owned infrastructure, enabling proactive issue detection and actionable on-call responses.
• Build and maintain AI-driven automation for cloud infrastructure management, such as policy-as-code, drift detection, and LLM-assisted runbook generation.
• Contribute to shaping the culture of a growing, international team.

Requirements

• Minimum of 5 years of experience managing and operating cloud infrastructure in a customer-facing, low-downtime environment.
• Extensive hands-on experience with AWS and a strong understanding of effective cloud operations.
• Proven experience managing Kubernetes clusters at scale, including upgrades, node management, autoscaling, and add-on lifecycles.
• Experience with infrastructure-as-code tools like Pulumi or Terraform, with a preference for code-driven changes over manual console operations.
• Experience working in multi-region or multi-cloud setups on AWS or GCP.
• A curious and growth-oriented mindset, with a proactive approach to AI and emerging technologies.

Nice to have

• Experience with Karpenter, cluster autoscaler, or other Kubernetes-native scaling tools.
• Familiarity with OpenTelemetry, Datadog, Prometheus, or Grafana.
• Experience building AI-assisted infrastructure tools, including cost optimization, anomaly detection, or LLM-enhanced policy-as-code.
• Experience with multi-region architecture, including data residency, regional failover, or latency-based routing.

Skills & tools

• AWS
• GCP
• Kubernetes (EKS)
• Pulumi
• Terraform
• Serverless technologies
• Networking
• Observability tools (e.g., Datadog, Prometheus, Grafana, OpenTelemetry)
• AI/ML for infrastructure automation

Practical notes

• Applications are accepted on an ongoing basis until the position is filled.
• Authorization to work in the country of employment is required.