DevOps Engineer

Job Overview

DevOps Engineer Location Toronto, Ontario Employment Type Full time Location Type Hybrid Department Product Engineering Compensation CA$113.7K – CA$151.6K This range represents our target hiring range for this position in Canada. In addition to base pay: This position is eligible for a discretionary bonus incentive. Payouts are based on individual and company performance and are not guaranteed.

About Docebo

Application Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.

Key Responsibilities

• Improve deployment pipelines to support frequent, seamless software releases.
• Develop and maintain internal tools to simplify the management of Docebo’s multi-tenant infrastructure.
• Support development teams in setting up and improving their CI/CD pipelines, enhancing overall system efficiency.
• Lead infrastructure and development projects aimed at optimizing system performance and processes.
• Monitor and troubleshoot pipeline and deployment issues to minimize disruptions and ensure system stability.
• Collaborate with cross-functional teams, including development and engineering, to continuously improve development workflows.
• Stay current with industry trends to identify and implement new tools and technologies that enhance performance and scalability.

Required Qualifications

• Typically 4+ years of relevant work experience.
• Proven experience with scripting languages (Bash, Python).
• Proficiency in programming languages (Go preferred).
• Strong expertise in Linux-based systems.
• Hands-on experience with container systems (Docker, Kubernetes).
• Expertise in cloud services, especially AWS.
• Familiarity with CI/CD systems (GitLab, Jenkins) and concepts.
• Familiar with Git for version control and automation processes.
• DevOps mindset, with a focus on continuous improvement and operational efficiency.