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Intermediate Site Reliability Engineer SRE – AI Reliability & Automation

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PointClickCare

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Location:
Canada , Mississauga

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

115000.00 - 128000.00 CAD / Year
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Job Description:

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.

Job Responsibility:

  • Build ML-based anomaly detection and pattern recognition systems
  • Enhance telemetry with smart tagging and metadata for better AI insights
  • Develop event-driven workflows and self-healing systems using AI triggers
  • Automate incident response with generative AI and custom AI agent orchestration
  • Use time-series forecasting and predictive modelling to anticipate failures
  • Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation
  • 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
  • Run internal AIOps workshops and help teams adopt AI maturity models
  • Champion responsible AI practices and ethical automation

Requirements:

  • 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
  • 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

Nice to have:

  • Experience with AIOps platforms
  • Contributions to open-source or AI communities
  • Familiarity with Responsible AI frameworks
  • Participation in AI hackathons or conferences
What we offer:
  • Benefits starting from Day 1!
  • Retirement Plan Matching
  • Flexible Paid Time Off
  • Wellness Support Programs and Resources
  • Parental & Caregiver Leaves
  • Fertility & Adoption Support
  • Continuous Development Support Program
  • Employee Assistance Program
  • Allyship and Inclusion Communities
  • Employee Recognition … and more!

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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