Senior Infra/SRE Engineer – Remote (Equity Included)

Webflow

Oregon

Hybrid

USD 177,000 - 225,000

Full time

5 days ago
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Benefits offered by this job

Equity (RSUs)
Health coverage
Parental leave
Flexible vacation
401(k) with employer match
Annual WIN bonus

Job summary

Webflow is seeking a Senior Infrastructure/SRE Engineer to own the Convert product's cloud infrastructure on AWS, build an IaC foundation with Pulumi, and improve scalability and observability across high-volume data workloads.

You will lead design-to-launch projects, implement AI-assisted automation, and help the team ship reliable, cost-effective systems in a remote-first environment spanning the United States and Argentina.

Qualifications

  • 5+ years owning and operating cloud infrastructure in a customer-facing environment with little tolerance for downtime.
  • Deep hands-on AWS experience and cloud operations perspective.
  • Experience with infrastructure as code (Pulumi or Terraform).
  • Production experience with high-throughput data systems (Druid, MongoDB, Airflow).
  • Proficient in Python or TypeScript/Node.js; can read Java services.

Responsibilities

  • Own and evolve the cloud infrastructure behind the Convert products on AWS.
  • Build and maintain infrastructure-as-code foundation with Pulumi.
  • Improve scalability and reliability of distributed systems and data workloads.
  • Increase observability with dashboards, alerts, and actionable SLOs.
  • Lead design-to-launch projects and write maintainable automation.

Skills

AWS
Python/TypeScript
Observability & SLOs
CI/CD & Automation
Incident response
Pulumi/Terraform
Druid/MongoDB/Airflow
Multi-region architecture
AI-assisted tooling
Kafka / event streaming

Education

BA/BS degree or equivalent experience

Tools

Pulumi
Terraform
AWS
Druid
MongoDB
Airflow
Kafka

Job description

Webflow is seeking a Senior Infrastructure/SRE Engineer to own the Convert product's cloud infrastructure on AWS, build an IaC foundation with Pulumi, and improve scalability and observability across high-volume data workloads.

You will lead design-to-launch projects, implement AI-assisted automation, and help the team ship reliable, cost-effective systems in a remote-first environment spanning the United States and Argentina.

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