Senior Cloud Engineer I

Job Overview

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.

The Adventure Ahead

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!

The Day-to-Day

• Architect the Future: Own and evolve our AWS cloud infrastructure end-to-end, taking projects from initial blueprint through implementation and operations to guarantee ultra-high availability, performance, and scale.


• Automate Everything: Design and implement self-service Infrastructure-as-Code (IaC) templates and automation workflows that crush manual toil and give product teams superpowers.


• Fortify the Platform: Elevate our cloud security posture by partnering with Security and Compliance teams to maintain audit-ready FedRAMP configurations, eliminate drift, and streamline patching.


• Partner for Impact: Collaborate closely with Engineering to launch new services seamlessly, jump into high-priority incident responses, and turn post-mortem insights into platform upgrades.


• Optimize and Observe: Master systems like Datadog to keep eyes on platform performance, driving decisions that optimize system resilience, speed, and cost-efficiency.


• Level Up the Team: Inspire and mentor junior Cloud Engineers through code and design reviews, keeping Docebo at the forefront of modern cloud trends.

Your Superpowers

• Cloud Mastery: Proven expertise managing complex, production-grade AWS infrastructure with 4–8 years of experience in cloud systems or platform engineering.


• Infrastructure as Code Ace: Intermediate to advanced mastery with IaC tooling like Terraform, CloudFormation, or CDK to provision and scale complex environments.


• Containerization & Linux Powerhouse: Hands-on proficiency with Linux, Docker, and running microservices on Kubernetes/EKS.


• Observability & CI/CD Champion: Strong experience using Datadog (or similar observability tools) alongside Git/GitLab for seamless code delivery and automation.


• DevOps Mindset & Scripting Skills: Solid understanding of DevOps methodologies paired with fluent scripting skills in Python, Bash, or Go.


• Problem-Solving Superhero: Exceptional analytical skills, sharp attention to detail, and a collaborative, team-first approach to solving complex engineering problems.

Bonus Points

• Compliance Ninja: Direct experience maintaining and patching FedRAMP-regulated or highly compliant cloud environments.


• Academic Foundation: A Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent real-world experience).

Our Interview Process

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.

Our Hybrid Work Philosophy

Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.

Our Total Rewards Philosophy

Our Total Rewards Philosophy centers around three core areas to reward and care for our People:

1. Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.

2. Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.

3. Empowering Our Talent Culture: We build a culture where everyone feels valued, supported, and has opportunities to grow.