Cloud Engineering Manager

Docebo

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profile Job Location:

Toronto - Canada

profile Yearly Salary: CAD 113700 - 151600
Posted on: 4 days ago
Vacancies: 1 Vacancy

Job Summary

Artificial Intelligence. Actual Impact.

At Docebo were using AI to change how people learn at workand we mean actually change it. Were 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.

Were shaping the future of learning with a team that isnt afraid to challenge the status quo. If youre excited by the idea of using AI to make work-life better for real peopleyoull feel right at home here. And its not just what we build its how we show up. At Docebo our values arent just posters on the wallthey 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 Cloud Engineering Manager oversees the daily operations of the Infrastructure Engineering team ensuring the reliability security and scalability of Docebos cloud infrastructure.
This role combines hands-on technical work with team supervision providing guidance to engineers setting priorities and ensuring the timely delivery of cloud projects. The supervisor collaborates with cross-functional teams to align cloud infrastructure initiatives with organizational goals.

What Youll Do
The responsibilities listed in this section are representative and not exhaustive. Additional duties may be assigned as needed.

  • Supervise the cloud engineering team providing mentorship and ensure high availability security and performance of cloud infrastructure through proactive monitoring and optimization.

  • Oversee daily cloud operations maintaining high availability scalability and security.

  • Maintain compliance with industry standards and security protocols.

  • Assign and prioritize tasks to align with project timelines and organizational objectives. Oversee capacity planning cost management and incident response ensuring operational resilience.

  • Provide mentorship and oversee career development for team members.

  • Provide regular updates to senior management on team progress and system performance metrics.

  • Foster a culture of continuous learning and improvement within the team.

  • Challenge existing practices and promote automation observability and process efficiency to reduce operational overhead.

  • Collaborate with development and operations teams to support new service launches and system enhancements.

  • Monitor infrastructure performance and troubleshoot issues to ensure optimal system health.

  • Implement and refine automation processes to improve efficiency and reduce manual interventions.

What It Takes to Be Successful

To excel in this role you need strong leadership and technical skills along with the ability to effectively manage a team in a dynamic environment. Excellent communication problem-solving and prioritization skills are essential as well as a proactive approach to innovation and improvement.

Education and Experience

  • Bachelors degree in Computer Science Engineering or a related field.

  • 5 years of experience in cloud infrastructure roles including at least 2 years in a supervisory capacity.

  • Proficiency in AWS services and Infrastructure as Code tools (e.g. Terraform CloudFormation).

  • Hands-on experience with containerization (Docker Kubernetes).

  • Strong scripting skills (Python Bash) and familiarity with CI/CD tools (e.g. GitLab Jenkins).

  • Experience with performance monitoring tools (e.g. Datadog) and troubleshooting complex systems.

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 its 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:

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

  • Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our peoples physical mental and financial well-being.

  • Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency equity and flexibility enabling our people to do their best work and stay for the long haul.

Our Promise to You

  • Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount plus a competitive compensation package.

  • Your Well-Being Covered: Youll get access to health benefits so you can get the care you need when you need it.

  • Rest Relax Repeat: Rest and recharge with paid vacation days two company-wide Docebo Days floating holidays for cultural celebrations and your birthday off!

  • Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!

  • Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE DWA BIDOC and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

About Docebo

At Docebo we create seamless AI-powered learning experiences for over 3000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO) been recognized as a top SaaS e-learning solution and are growing exponentially in the process. Were a global company with office across North America EMEA APAC and beyond. Our team is guided by six core valuesInnovation Simplicity Accountability Togetherness Curiosity and Impactthat shape everything we do. If this resonates with you now is the perfect time to join one of the fastest-growing learning technology companies in the world.

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 colour 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.

As a federal contractor Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.

Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to The email should also include the position youre interested in.


Required Experience:

Manager

Artificial Intelligence. Actual Impact.At Docebo were using AI to change how people learn at workand we mean actually change it. Were 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 fas...
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Docebo’s AI-powered LMS helps world-class organizations train employees, partners, and customers on a unified platform. Create learning, grow skills, and drive business impact at global scale.

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