Intermediate AI-Enabled DevOps Engineer

PointClickCare•Mississauga, ON

10d•Remote

About The Position

At PointClickCare, our mission is to help providers deliver exceptional care. As a leading health tech company, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. As an Intermediate DevOps Engineer, you will build, operate, and support cloud infrastructure and deployment pipelines that enable application and AI-enabled workloads to run reliably. You will 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 on 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, reporting to the DevOps Team Lead and working alongside other DevOps Engineers, as well as the Software Engineering team and IT team.

Requirements

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).
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.
Bachelor's degree in Computer Science, Computer Engineering, or related technical field.

Nice To Haves

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.
Advanced certifications (AWS/GCP/Azure professional-level, CKA, CKS, CISSP) are highly valued.
Demonstrated commitment to continuous learning.

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.
Strong interest and motivation to grow technical skills.