Senior Site Reliability Engineer, AI Infrastructure

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, 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 also 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.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**

For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Team Summary:

The AI SRE team is a focused group of SRE engineers dedicated to making PointClickCare's AI and ML platforms reliable, secure, and operationally excellent — from data processing and ML workspaces to model serving and labeling systems. We treat reliability as a product — prioritizing observability, automation, and safe operations so that data scientists and ML engineers can focus on building AI capabilities that improve patient care. You will spend a significant portion of your time hands-on — building automation, designing guardrails, hardening platforms, and leading incident response across cloud environments like Databricks, Azure AI suites. The team collaborates closely with research, platform, data, and security teams across the AI engineering organization.

Job Summary

AI SRE exists to ensure PointClickCare's AI platforms run safely, reliably, and efficiently — protecting patient data while enabling teams to move fast with confidence. We solve complex cross-cutting reliability and security problems through well-designed automation, SLOs, and operational guardrails — so that product and research teams can focus on delivering AI-driven value to clinicians and patients. We own the infrastructure operability of AI data processing, ML workspaces, labeling systems, and model serving — and we drive the infrastructure observability, incident response, compliance controls, and cost optimization that keep those platforms healthy through sound SRE practices and a security-first mindset

Key responsibilities:

Own service level objectives, error budgets, and reliability targets for the infrastructure underpinning cloud-based platforms — ensuring infrastructure observability (metrics, logs, traces), alert quality, and telemetry completeness across platform components and serving endpoints

Design, build, and maintain infrastructure-as-code, operational automation, and change control workflows for AI/ML platforms — with a focus on repeatability, consistency, and toil reduction

Implement and maintain platform security controls — including network segmentation, secrets management, encryption, and data protection safeguards — aligned to compliance requirements and partnering with security teams to respond to emerging risks

Lead incident response and blameless postmortems; validate backup/restore and disaster recovery processes; conduct game days and resiliency testing to harden platform and infrastructure reliability

Mentor engineers, influence design reviews, and collaborate across engineering teams to improve platform resiliency, cost efficiency, capacity planning, and operational standards

Qualification and Skills:

Minimum

5+ years in SRE, platform engineering, or infrastructure roles supporting production cloud environments and mission-critical applications

Strong proficiency with observability — metrics, logging, distributed tracing, SLI/SLO frameworks — and production ownership including incident response, blameless postmortems, and on-call operations

Strong proficiency with Infrastructure as Code (Terraform), GitOps practices, and CI/CD for infrastructure and platform changes

Working proficiency with cloud platform administration — compute, networking, storage, and operating managed data or AI/ML platform services in production (e.g., Databricks, Azure ML, or Kubernetes-hosted infrastructure)

Working proficiency with platform security — network segmentation, secrets management, encryption at rest and in transit, and key management

Strong programming skills for automation, operational tooling, and infrastructure management

Strong communication and documentation skills — able to write runbooks, lead postmortems, influence operational standards across teams, and translate technical complexity for diverse audiences

Preferred

Experience with disaster recovery planning, multi-region patterns, and capacity or cost optimization (FinOps)

Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling

Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling

Experience in healthcare, life sciences, or other highly regulated industries with data privacy requirements