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Overview
Senior

Senior Infrastructure Engineer

Confirmed live in the last 24 hours

Webflow

Webflow

Compensation

up to $6,000/year

Argentina Remote
Remote
Posted March 23, 2026

Job Description

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We recently announced that we're opening an office in Buenos Aires, and this role will be one of the first members of the team. Not ready to apply, or not seeing the right role yet? Sign up here to hear about future opportunities and events with the Webflow team in Argentina.

About the role:

  • Location: Remote-first (Argentina)
  • Permanent, full-time employee (this is not a contractor position)
  • Application Information:
    • Application deadline: applications accepted on an ongoing basis until position is closed and filled
    • This posting is for a new position

As a Senior Infrastructure Engineer, you’ll … 

  • Join our Data Stores team, which owns the reliability, scalability, and operational excellence of core datastores (MongoDB, PostgreSQL), including schema and index strategy, connection best practices, and performance tuning.
  • Partner cross-functionally with product, application, and platform teams (including embedded engagements) to support new use cases, onboard new products, and unblock dependency-driven work.
  • Reduce toil by designing and implementing automation and Infrastructure as Code (IaC) for datastore provisioning, upgrades, backups, and disaster recovery.
  • Lead efforts to identify systemic datastore issues, drive root-cause analysis, and implement durable fixes to improve long-term stability.
  • Establish guardrails, standards, and best practices to ensure consistent and scalable adoption of datastores across teams; anticipating growth and avoiding repeat failure modes.
  • Guide and empower engineers on other teams to introduce new features and functionality into production in a safe, sustainable way.
  • Occasionally dive into the main Webflow application (TypeScript, Node, or Go) to debug and sometimes fix production behavior.
  • Participate in and continuously improve on-call and incident response processes.
  • Help define the culture of this growing team as it expands its international presence.

 

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you 

  • Either a background as an operations or production engineer with an enthusiasm for code, or a software engineer with an enthusiasm for systems and infrastructure.
  • 5+ years of experience building, maintaining, and debugging distributed systems in a customer-facing environment with little to no downtime.
  • Hands-on experience operating and scaling production datastores (MongoDB and/or PostgreSQL), including performance tuning, schema or index design, and incident-level troubleshooting.
  • Experience supporting multiple teams using shared datastore infrastructure, including establishing guardrails, best practices, and patterns that scale with growth.
  • Experience navigating and scaling multi-tier cloud environments on AWS or GCP using containerized and Kubernetes-based architectures.
  • Experience with infrastructure-as-code tools such as Terraform or Pulumi, including managing stateful infrastructure.
  • Enthusiasm for mentoring and sponsoring less-experienced engineers.
  • Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
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