About The Position

Canals is a bootstrapped, profitable startup transforming wholesale distribution—a trillion-dollar industry—with AI. Our platform integrates directly with the systems distributors already use, automating tedious workflows and removing failure points in the global movement of physical goods. We’re a 50-person, fully remote team (35 in engineering) spread across North and South America, operating at millions in ARR and scaling quickly without outside funding.

Requirements

  • 5+ years of experience in DevOps, Site Reliability, or Infrastructure Engineering roles.
  • Strong experience with AWS (ECS, Lambda, RDS, S3, CloudWatch, IAM).
  • Expertise with CI/CD (GitHub Actions, CircleCI, etc.) and infrastructure as code (Terraform, CloudFormation).
  • Proficiency in Docker and container orchestration (ECS or Kubernetes).
  • Familiarity with monitoring, alerting, and logging (Prometheus, Grafana, Datadog, etc.).
  • Experience securing systems and managing secrets, permissions, and network policies.
  • Strong communication skills and comfort working remotely in a fast-moving, product-focused environment.

Nice To Haves

  • Prior experience in high-growth startups or small teams.

Responsibilities

  • Design, implement, and maintain cloud infrastructure (AWS) to support Canals’ platform at scale.
  • Improve CI/CD pipelines for faster, safer, and more consistent deployments.
  • Automate infrastructure provisioning and system configuration using Terraform, Ansible, or similar tools.
  • Develop and manage observability systems for logging, monitoring, and alerting.
  • Strengthen our security posture and ensure reliability across environments.
  • Collaborate with backend engineers to optimize application performance and scalability.
  • Own uptime, deployment quality, and operational excellence as we scale.

Benefits

  • Bootstrapped & profitable: stable growth without investor pressure.
  • Real-world impact: your work directly improves how global supply chains move goods.
  • Ownership: broad technical autonomy and the chance to shape how we scale.
  • Engineering culture: we value quality, documentation, and pragmatic automation.
  • Remote-first flexibility: collaborate across North & South America with async freedom.
  • Massive opportunity: modernize an overlooked trillion-dollar sector using AI.
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