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.
**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.
We're Hiring: Intermediate Site Reliability Engineer SRE – AI Reliability & Automation
Are you a software engineer passionate about building intelligent systems that make infrastructure smarter, faster, and more resilient?
Join us as we reimagine operational engineering through AI-first principles. In this role, you’ll design and implement AI-powered solutions that drive observability, automate incident response, and optimise cloud-native platforms.
This is more than a traditional SRE role — it’s a chance to engineer the future of reliability using machine learning, generative AI, and predictive analytics.
What You’ll Work On
AI-Driven Observability
•Build ML-based anomaly detection and pattern recognition systems.
•Enhance telemetry with smart tagging and metadata for better AI insights.
Intelligent Automation
•Develop event-driven workflows and self-healing systems using AI triggers.
•Automate incident response with generative AI and custom AI agent orchestration.
Predictive Reliability
•Use time-series forecasting and predictive modelling to anticipate failures.
•Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation.
Software Engineering for Resilience
•Build scalable, fault-tolerant systems in a cloud-native environment.
•Participate in on-call rotations and lead incident response for critical systems.
•Skilled in API integration for streamlined data exchange and system connectivity.
Team Enablement
•Run internal AIOps workshops and help teams adopt AI maturity models.
•Champion responsible AI practices and ethical automation.
Tech Stack & Skills
•Languages: Python, Java, Bash, Terraform
•Platforms: Azure, Kubernetes, Docker
•Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions
•ML/AI: MCP framework, AI agents, Vector store, Agent orchestration (LangChain), RAG
•CI/CD: Jenkins, ArgoCD, Spinnaker
•Databases: SQL Server, PostgreSQL, MySQL
You’ll Thrive If You Have
•5+ years' experience in software engineering.
•Experience with SRE principles.
•Experience with AI/ML in production environments
•A passion for automation, intelligent systems, and operational excellence
•Strong debugging, problem-solving, and system design skills
Bonus Points
•Experience with AIOps platforms.
•Contributions to open-source or AI communities
•Familiarity with Responsible AI frameworks
•Participation in AI hackathons or conferences
This is your opportunity to code with purpose — building systems that think, learn, and adapt. If you're excited about the fusion of software engineering and AI, let’s talk.
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