DevOps Engineer

Location

Location: Remote (Canada-wide) with preference for applicants in the Greater Toronto Area

Our client is a confidential, venture-backed pioneer at the intersection of AI, computer vision, and industrial automation. Their edge-focused platform is already improving safety and efficiency on factory floors across North America, and they are scaling fast.

• Build a green-field infrastructure layer that bridges cloud and edge for thousands of devices.
• Work in a fully remote, senior-only engineering culture that values autonomy and rapid iteration.
• See your work ship to real machines—impact measured in uptime, not vanity metrics.
• Competitive salary, meaningful early-stage equity, and first-class benefits.
• Flexible hours, 100 percent remote setup, and an annual home-office stipend.
• Comprehensive health, dental, vision, and mental-health coverage.
• Generous PTO, quarterly recharge Fridays, and a professional development budget.

• Engineer and automate the cloud-plus-edge backbone that keeps thousands of Linux-based devices online, healthy, and secure.
• Manage Kubernetes clusters that power GPU-accelerated computer-vision workloads in both public cloud and on-prem customer sites.
• Design and own zero-touch deployment pipelines that support blue/green, canary, and instant rollback strategies for over-the-air updates.
• Codify infrastructure with Terraform, Helm, and similar tools so every environment spins up the same way every time.
• Embed scalable observability with Prometheus, Grafana, and Open Telemetry to surface fleet health and performance insights in real time.
• Partner with SRE and software teams to deliver resilient, easy-to-deploy microservices and APIs.
• Lead post-incident reviews, driving systemic fixes that strengthen reliability release after release.
• Champion security best practices around identity, secrets management, and network segmentation across cloud and edge footprints.

• 5+ years in Dev Ops, Platform, or Site Reliability Engineering.
• Hands-on experience running Kubernetes in production and troubleshooting containerized workloads.
• Proficiency with Infrastructure-as-Code (Terraform, Helm, Ansible, or equivalents).
• Strong scripting or development skills in Python, Go, or a comparable language.
• Deep Linux knowledge plus solid fundamentals in networking and performance tuning.
• Practical experience with CI/CD pipelines (Git Hub Actions, Git Lab CI, Jenkins, etc.).
• Exposure to distributed or hybrid cloud/edge systems; GPU scheduling or industrial IoT is a plus.
• Clear, collaborative communication style and a bias for owning problems end-to-end.

Mid-Senior level

Full-time