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.

Int. AIOps Site Reliability Engineer

Role Summary:

We are seeking an innovative Intermediate Site Reliability Engineer to spearhead the transformation of our operational engineering landscape through AI-driven automation. This role will be pivotal in implementing AIOps capabilities, enabling proactive management of reliability, reducing toil, and accelerating incident resolution across our cloud-native application environment.

Key Responsibilities:

AI-Driven Observability & Monitoring:

•Implement and optimize AI-based anomaly detection tools across critical applications to enhance system reliability.

•Establish standardized tagging and metadata practices to improve data quality for enhanced AI observability and insights.

Automation & Self-Healing:

•Design and implement automated runbooks and workflows triggered by AI insights to reduce manual intervention.

•Develop self-healing mechanisms for common failure scenarios, including automated responses to AI-detected anomalies.

Incident Management & Root Cause Analysis:

•Deploy AI/ML tools for automated root cause analysis and incident correlation to minimize downtime.

•Leverage predictive analytics to reduce mean time to detect (MTTD) and mean time to resolution (MTTR).

Predictive Scaling & Resource Optimization:

•Build and deploy AI models to forecast traffic and resource needs, facilitating proactive scaling and resource allocation.

•Enhance cost efficiency through intelligent autoscaling and resource optimization.

Team Enablement & AI Maturity:

•Conduct internal AIOps workshops and training sessions to elevate team capabilities.

•Guide the team through an AIOps maturity model, identifying and closing capability gaps while tracking progress.

Troubleshooting and Problem Resolution:

•Participate in an on-call rotation to respond to incidents, ensuring 24/7 system availability.

•Lead incident response calls to troubleshoot complex system and application-level issues.

•Engineer solutions to improve reliability and eliminate recurring incidents.

Required Skills & Experience:

•Strong background in SRE practices, cloud-native architecture, and CI/CD pipelines.

•Hands-on experience with observability platforms (e.g., Datadog, AppDynamics, Prometheus).

•Proficiency in scripting and automation (Python, Bash, Terraform, etc.).

•Familiarity with AI/ML concepts and their application in operational contexts.

•Experience implementing or integrating AIOps platforms or frameworks.

•Excellent problem-solving skills, troubleshooting skills, and a proactive mindset.

Preferred Qualifications:

•Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.

•Minimum of 5 years of experience as a Site Reliability Engineer (SRE).

•Prior relevant software development, architecture, or engineering experience (Min 5 years).

•Experience with Generative AI tools for incident response and documentation.

•Exposure to predictive analytics and time-series forecasting.

•Knowledge of Responsible AI principles and risk frameworks.

•Involvement in AI-driven transformation initiatives or hackathons.

•Strong experience in building and supporting cloud-based solutions, with Azure cloud infrastructure and services experience preferred.

•Experience with virtualization and container solutions such as Docker and Kubernetes.

•Familiarity with Databricks, Event Hub, Redis, Azure Service Bus, Azure Functions, and Tomcat.

•Experience with Windows and Linux administration.

•Experience with configuration management and deployment automation tools (e.g., Chef, Terraform, Puppet, Ansible, Jenkins, Spinnaker, ArgoCD, GitHub Actions).

•Proficiency in programming languages such as Java, JavaScript, and Python.

•Working knowledge of database technologies (e.g., SQL Server, MySQL, PostgreSQL).

•Experience with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack, AppDynamics, DataDog).

•Strong debugging and optimization skills, with the ability to automate routine tasks.

•Systematic problem-solving approach with strong communication skills and a proactive mindset.

•Knowledge of standard production practices, including change management and incident management (ITIL).

•Experience building CI/CD pipelines and Blue/Green, Zero Downtime deployment strategies.

•Troubleshooting experience with diverse hosting technologies, web servers, Java applications, operating systems, network components, and web browsers.

Nice to Have:

•Proficiency in Linux, including experience compiling kernels, tracing syscalls, and understanding TCP.

•Knowledge of open-source software and contributions to the open-source community.

•Familiarity with Rhapsody and various healthcare messaging standards, such as HL7 and FHIR.

•Experience with AI-driven infrastructure management tools and platforms.

•Participation in AI-focused conferences, workshops, or communities to stay abreast of emerging trends.

This role is an exciting opportunity for an Intermediate Site Reliability Engineer who is passionate about leveraging AI technologies to enhance the reliability and efficiency of cloud-native applications. If you are driven by innovation and thrive in a collaborative environment, we encourage you to apply and be part of our forward-thinking team.

PointClickCare Benefits & Perks:

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!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

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