The Senior Cloud Engineer II is responsible for managing and improving the cloud infrastructure that supports Docebo’s applications. This role focuses on maintaining a highly available, scalable, and secure infrastructure using modern approaches, such as DevOps and Platform Engineering. The engineer will work closely with development and engineering teams to release new services, implement automation, and evolve the infrastructure to meet market standards. The role involves leading infrastructure projects and optimizing cloud systems in alignment with business objectives.
Key Responsibilities
Manage and develop the cloud infrastructure to ensure high availability and reliability.
Improve the security standards of Docebo’s cloud infrastructure, ensuring compliance with industry best practices.
Implement automation solutions to enable infrastructure scalability and reduce manual processes.
Lead and contribute to infrastructure projects, ensuring timely delivery and alignment with business goals.
Collaborate with development and engineering teams to support new service releases and ensure smooth integration with the cloud environment.
Monitor system performance using tools like Datadog to ensure infrastructure stability and provide actionable insights.
Debug and troubleshoot issues within the cloud environment to maintain optimal system health.
Stay updated on market trends and evolve the infrastructure to remain current with best practices.
Required Qualifications
To be successful as a Senior Cloud Engineer II, you should have strong problem-solving skills, attention to detail, and a proactive approach to improving infrastructure performance. The ability to collaborate with cross-functional teams, especially development and engineering, is critical. A background in cloud services, automation, and infrastructure management is essential. A Bachelor’s degree in Computer Science or a related field can lay the groundwork for success in this role.
Education and Experience
Advanced experience with Infrastructure as Code technologies for managing complex infrastructure.
Strong expertise in AWS cloud services.
Experience with Docker and Linux-based systems.
Proven experience with Kubernetes (K8S) or Amazon Elastic Kubernetes Service (EKS).
Familiarity with monitoring tools such as Datadog.
Proven experience with Git and GitLab for automations and code management.
Familiarity with DevOps methodologies.
Experience with scripting languages like Python, Bash, or Go (preferred).
