Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility.

We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people work in over 20 countries to help us make the Internet better.

If this sounds exciting to you, join the herd!

About The Role

We’re looking for a curious, technically strong, and automation-minded Data Platform Engineer to join our Data Engineering team. This is a high-impact platform engineering role for someone who enjoys building reliable systems, writing maintainable automation, and helping data teams move faster, more safely, and with more confidence. You’ll work at the intersection of data engineering, business intelligence, finance analytics, cloud infrastructure, governance, and AI-enabled decision support.

What we’re really hiring for is strong engineering fundamentals, comfort with ambiguity, and the drive to apply those fundamentals across different systems. We’re hiring an engineer who can pick up infrastructure work, governance work, or pipeline work as needed and help turn knowledge that currently lives in repos, configs, and people’s heads into durable platform practices. There will be a lot to learn here, even if you arrive experienced.

That’s the appeal, not the catch.

What You’Ll Do

Keep the data platform healthy: Monitor infrastructure and pipelines, respond to issues, troubleshoot failures from logs and metrics, and help identify root causes so we can prevent repeat problems. Make infrastructure changes safely: Build, review, and deploy infrastructure through code using Terraform, AWS, Kubernetes or container-based deployment patterns, and CI/CD workflows. Improve automation and tooling: Write Python, bash, and CI/CD automation that reduces manual toil, improves reliability, and makes common platform tasks safer and easier for the team.

Support access control and governance: Help design and operate role-based access control, least-privilege access, and governance controls across our cloud, warehouse, and BI platforms. Contribute to data pipelines: Build, operate, and troubleshoot pipelines and transformations that power reporting, analytics, finance workflows, and data products across the company. Support our platform migration: Help move workloads from our legacy stack to the modern data platform, including validation, cutover, and decommissioning work.

Document how things work: Write clear runbooks, platform documentation, and operational guides so knowledge is easier to share and the team is less dependent on any one person. Use and improve AI-assisted engineering: Work with our Claude Code-based tooling, including agents, skills, hooks, and MCP integrations, and help shape how the team uses AI to improve engineering workflows.

What We’Re Looking For

Experience: 3+ years in data engineering, software engineering, DevOps, platform engineering, or a related technical role. Cloud and DevOps fundamentals: Hands-on experience operating workloads in AWS or another major cloud provider, with a solid grasp of IAM, networking, compute, managed services, deployment patterns, and day-to-day cloud operations. Python automation: Proficiency in Python for automation, internal tooling, platform workflows, or data engineering support.

SQL competency: Working knowledge of SQL. Advanced SQL is a plus, but not a prerequisite. Infrastructure as Code: Hands-on experience with Terraform or another infrastructure-as-code tool, including code review, state-aware changes, environment management, and safe deployment practices.