Senior AI-Enabled DevOps Engineer, Pointclickcare

• Strong Hands-On Expertise
• Ability to own systems from design through production support. Design and setup end to end CI/CD Pipelines
• Practical understanding of distributed systems and cloud infrastructure
• Bias toward automation, observability, and operational excellence
• Growth-Oriented Leadership
• Willingness to mentor and support teammates
• Comfort collaborating across functions and advocating for better practices
• Ability to communicate trade-offs clearly and constructively
• Strong knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog)
• Solid understanding of networking, security principles, and high-availability architectures
• Strong problem-solving skills and ability to work in complex, distributed environments
• 5-8+ years of progressive experience designing and implementing large-scale, automated infrastructure and CI/CD Pipelines
• Strong experience with cloud platforms (AWS, GCP, or Azure)
• Cloud-native architectures and microservices
• Infrastructure as Code (Terraform, IaC 2.0, etc.)
• Containers and Kubernetes
• CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Strong knowledge-level of CI/CD best practices, GitOps workflows and deployment strategies (blue/green, canary)
• Proficiency in scripting or programming (Python, Bash, Go, etc.)
• Demonstrated ability to write custom scripts for deployment, monitoring and system tasks
• Experience with monitoring, logging, and alerting tools
• Exposure to AI/ML workloads
• 3+ years in healthcare technology or other highly regulated SaaS environments (financial services, government)
• Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)

Desirable

• PointClickCare builds cloud platforms that power safer, more connected care for millions of patients
• As a Senior DevOps Engineer, you will design, build, and operate scalable cloud infrastructure and developer platforms that support both application and AI-driven workloads
• You are a strong individual contributor who owns complex systems end-to-end, improves reliability and automation, and partners closely with software and data teams to bring services and models into production
• You balance delivery and quality, applying DevOps and SRE best practices to improve developer velocity, system reliability, and operational insight
• 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
• Design, implement, and operate cloud-native infrastructure for production workloads
• Build and maintain CI/CD pipelines for applications and ML systems
• Develop and manage infrastructure-as-code to ensure consistency, scalability, and repeatability
• Improve deployment reliability through automation, testing, and rollout strategies
• Support AI/ML workloads, including model deployment, scaling, and monitoring
• Integrate AI-assisted tools into DevOps workflows to improve:
• Alert quality and noise reduction
• Incident triage and root-cause analysis
• Capacity planning and performance optimization
• Design and maintain observability solutions using metrics, logs, and traces
• Participate in on-call rotations and lead incident response for complex issues
• Continuously improve system resilience through proactive automation
• Partner with application, platform, and data teams to deliver reliable systems
• Provide technical guidance and code reviews for devops team members
• Contribute to architecture discussions and influence technical direction within your domain
• Document standards, runbooks, and best practices
• Participate in on-call rotations