Intermediate AI-Enabled DevOps Engineer, Pointclickcare

• Working knowledge of cloud infrastructure and Linux-based systems
• Proven experience with CI/CD, and containers
• Focus in reliability, scalability, and operational excellence
• Automation experience, reducing repetitive operational tasks
• Willingness to learn new tools and technologies, including AI-enabled platforms
• Openness to feedback and continuous improvement
• Ability to communicate clearly and ask good technical questions
• 2-4+ years of experience in DevOps, Cloud, SRE, or Infrastructure Engineering
• Experience with at least one cloud provider (Azure, AWS, or GCP )
• Hands-on exposure to:
• Scripting experience (Bash, Python, or similar)
• Infrastructure as Code (Terraform, IaC 2.0, or similar)
• CI/CD pipelines
• Containers (Docker) and Kubernetes concepts
• Monitoring, logging, and alerting tools
• Bachelor's degree in Computer Science, Computer Engineering, or related technical field
• Advanced certifications (AWS/GCP/Azure professional-level, CKA, CKS, CISSP) are highly valued
• Demonstrated commitment to continuous learning

Desirable

• PointClickCare builds cloud platforms that power safer, more connected care for millions of patients
• As an Intermediate DevOps Engineer, you will build, operate, support cloud infrastructure and deployment pipelines that enable application and AI-enabled workloads to run reliably
• You work closely with senior engineers to implement best practices, automate operational tasks, and improve system reliability while continuing to deepen your technical expertise
• This role is ideal for an engineer who is comfortable working in cloud environments with a focus in automation and is ready to take ownership of well-scoped systems and services
• You will be part of our growing team of top engineers with the ability to directly impact the success of the organization
• You'll be a part of the DevOps team reporting to the DevOps Team Lead and working alongside our other DevOps Engineers
• You'll work day to day with the Software Engineering team as well as our IT team
• Implement and maintain cloud infrastructure using infrastructure-as-code
• Support and improve CI/CD pipelines for application and ML workloads
• Operate containerized workloads in Kubernetes or managed container platforms
• Assist in rolling out platform improvements and infrastructure changes
• Automate repetitive operational tasks using scripts and tooling
• Assist with deploying and monitoring AI/ML workloads
• Use AI-assisted tools to improve Log analysis and alert triage, Incident investigation and documentation, Deployment validation and testing
• Participate in on-call rotations
• Respond to and help resolve environment & CI/CD pipeline incidents
• Monitor system health using dashboards, logs, and alerts
• Contribute to post-incident reviews and follow-up actions
• Follow and contribute to established DevOps standards and practices
• Document procedures, runbooks, and operational knowledge
• Strong interest and motivation to grow technical skills