An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Docebo Inc. is seeking a Senior Cloud Engineer to own and scale our AWS infrastructure, building resilient automation and secure environments that power a global learning platform.
You will partner with security, platform, and engineering teams to deploy high-availability services, implement IaC, and drive observability and cost optimization across the fleet.
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.
As a Senior Cloud Engineer I, you are the backbone of the infrastructure that powers Docebo’s global learning platform! You will architect, scale, and secure our AWS-based environments using cutting-edge DevOps and Platform Engineering practices. By building resilient automation and optimizing systems like our FedRAMP-regulated environments, you will directly empower engineering teams to deploy faster and keep millions of learners seamlessly connected. Get ready to solve high-impact technical challenges, elevate our cloud strategy, and shape the future of AI-driven learning!
Step 1: We’ll kick things off with a 30‑minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned.
Step 2: A 45‑60‑minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity.
Step 3: A technical deep‑dive and system design discussion with key members of our Cloud & Platform Engineering team.
Step 4: A final wrap‑up conversation with engineering leadership to discuss team culture, growth, and next steps.
Great work can happen anywhere but coming together helps us go further. Our team spends three days a