As a Cloud Operations and Support Engineer, you will manage incident resolution, operations of the Docebo platform, and collaborate with teams to solve critical issues.
Artificial Intelligence. Actual Impact.
At Docebo, AI isn’t just a buzzword — it’s how we help teams move faster, perform better, and focus on the work that actually matters. Our learning platform is built with smart, time-saving tools that personalize training, cut the busywork, and make learning feel like less of a chore (and more of a superpower).
We’re building the future of learning, and we’re doing it with a team that loves to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people — not just in theory — you're in the right place.
Still thinking it over? At Docebo, values aren’t just posters on the wall — they show up in how we work every day. We lead with what we call the Docebo Heart: we trust each other, assume positive intent, and make space for the differences that make our team stronger.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn.
About This Opportunity:
As a Cloud Operations and Support Engineer, you’ll help manage the operational health of the Docebo learning platform, solving critical customer-facing issues by orchestrating the broader response of the Docebo product organization. You will be part of a globally deployed team that is highly skilled in handling urgent customer issues, quickly diagnosing technical, operational, and/or product issues, and orchestrating the right response to mitigate and resolve problems. In-depth knowledge of how the Docebo platform is built and works (at the architectural and code level) is essential, as well as the ability to work and coordinate across multiple organizations (Support, Product, etc.). This position involves scheduled work times, including limited shifts on weekend days.
Reports to: Senior Director, Cloud Operations and Support
Location: Remote British Columbia or Alberta, Canada
To help our teams work together effectively, this role requires you to be located in British Columbia or Alberta.
Responsibilities:
- Manage the Docebo Incident and Escalation process;
- Monitor metrics and develop ways to improve observability;
- Diagnose & troubleshoot service incidents & outages, with the capability to do urgent code fixes when needed on the various application services;
- Day by day operations to maintain and evolve the Docebo multi-tenant infrastructure;
- Build and maintain effective working relationships with colleagues, technical staff, and customers to identify issues and opportunities;
- Work with tickets opened by the internal support team, incidents, problems, and system changes;
- Keep your eyes and ears open for ways we can further streamline our development process.
- Perform periodic on-call duty, maintaining the availability and performance of the Docebo Platform.
Requirements:
- Previous experience with infrastructure management and operations;
- Good working knowledge of Linux and Docker, and familiar with LAMP stack;
- Experience with AWS Cloud services;
- Experience with Bash or Python scripting;
- Experience with CI/CD tools such as Gitlab CI;
- Familiar with application performance monitoring tools like Datadog, New Relic;
- Familiar with Docker orchestrators such as Amazon ECS or Kubernetes;
- Familiar with Git;
- Ability to solve issues with clear methods while knowing when to take intuitive leaps.
Nice to have
- Knowledge of programming languages such as PHP, JavaScript/Typescript, or Go.
Benefits & Perks 😍
-Generous Vacation Policy, plus extra floating holidays to use for religious or cultural events that matter to you
-Employee Share Purchase Plan
-Career progression/internal mobility opportunities
-Four employee resource groups to get involved with (the Docebo Women's Alliance, PRIDE, BIDOC, and Green Ambassadors)
-WeWork partnership and “Work from Anywhere” program
Hybrid Office Model 🏢
We believe when people are together, they develop deeper relationships and accelerate innovation. Because of this, all Docebo employees worldwide are “hybrid.” We encourage in-person collaboration while supporting work-from-home when employees need dedicated focus time, allowing Docebians to do their best every day. Each team leader is able to decide how often their teams come into the office, considering the needs of the team and the employee’s needs. Our Talent Acquisition team will let you know about the role you are applying for and the hybrid details during the first interview.
About Docebo 💙
Here at Docebo, we power learning experiences for over 3000 customers around the world with our easy-to-use, AI-powered Suite designed to close the enterprise learning loop. We have successfully achieved 2 IPOs (TSX: DCBO & NASDAQ: DCBO), been recognized as a Top SaaS e-learning Solution, and are growing exponentially in the process.
Docebo is a global company with offices in North America, EMEA, APAC and more. Our people believe in six core values, simply defined and manifested in everything we do - Innovation, Simplicity, Accountability, Togetherness, Curiosity, and Impact. If this sounds like you, now is your time to join one of the fastest-growing learning technology companies on the market. Apply today!
Docebo is an Equal Employment Opportunity employer. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
Any individuals requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to recruiting_accommodations
(at) docebo.com. The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in.
Top Skills
Amazon Ecs
AWS
Bash
Ci/Cd
Datadog
Docker
Git
Gitlab Ci
Kubernetes
Linux
New Relic
Python
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