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Senior AI-Enabled DevOps Engineer

PointClickCare

hybridseniorpermanentdevopsbackend United States 115 days ago via LinkedIn

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Tags

DevOpsSRECI/CDInfrastructure as CodeObservabilityAI/MLCloud-NativeIncident ResponseRoot Cause AnalysisAWS

About the role

Role Overview

Senior AI-Enabled DevOps Engineer at PointClickCare. You will design, build, and operate scalable cloud infrastructure and developer platforms for both application and AI/ML-driven workloads, partnering closely with software and data teams to take services and models into production.

Responsibilities

  • Design, implement, and operate cloud-native infrastructure for production workloads
  • Build and maintain CI/CD pipelines for both applications and ML systems
  • Develop and manage Infrastructure as Code (IaC) for consistency, scalability, and repeatability
  • Improve deployment reliability using automation, testing, and rollout strategies
  • Support AI/ML workloads: model deployment, scaling, and monitoring
  • Integrate AI-assisted tools into DevOps workflows to improve:
    • Alert quality and noise reduction
    • Incident triage and root-cause analysis
    • Capacity planning and performance optimization
  • Design and maintain observability solutions using metrics, logs, and traces

Working Environment / Team

  • Part of the DevOps team (reporting to the DevOps Team Lead) working with Software Engineering and IT

Location / Travel & Office Expectations

  • Remote roles: in-office events requiring travel to Mississauga and/or Salt Lake City for onboarding, team events, and semi-annual/annual meetings
  • Hybrid roles: must reside within commuting distance of the specified office location, with regular in-office events

Requirements & Qualifications

Not provided in the provided excerpt.

About PointClickCare

PointClickCare is a health technology company that helps healthcare providers deliver safer, more connected care. It operates a cloud platform serving tens of thousands of provider organizations and supports application and AI-driven workloads, leveraging a large long-term dataset and an ecosystem of integrated partners.

Scraped 4/2/2026