PointClickCare is a leading health tech company focused on delivering exceptional care through innovative technology. As an Intermediate AI-Enabled DevOps Engineer, you will build and support cloud infrastructure and deployment pipelines while collaborating with senior engineers to enhance system reliability and automate operational tasks.
Responsibilities:
- 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
Requirements:
- 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)
- Hands-on exposure to Infrastructure as Code (Terraform, IaC 2.0, or similar)
- Hands-on exposure to CI/CD pipelines
- Hands-on exposure to Containers (Docker) and Kubernetes concepts
- Hands-on exposure to monitoring, logging, and alerting tools
- 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
- 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
- 2+ years in healthcare technology or other highly regulated SaaS environments (financial services, government)
- Familiarity with AI-driven monitoring or AIOps tools
- Experience using AI-assisted development or operations tools
- Understanding of cloud networking and security fundamentals
- Experience supporting on-call