Intermediate Site Reliability Engineer-Application
PointClickCare
Marketing & Communications, Software Engineering
Mississauga, ON, Canada
Posted on Jun 13, 2025
PointClickCare is a leading North American healthcare technology platform enabling meaningful care collaboration and real‐time patient insights. For over 20 years, the company has been focused on realizing its vision: to help create a world in which providers and plans can confidently deliver frictionless care. Since its inception, PointClickCare has grown exponentially, with over 2,200 employees working to impact millions across North America. Recognized by Forbes as one of the top 100 private cloud companies and acknowledged by Waterstone Human Capital as Canada’s Most Admired Corporate Cultures, PointClickCare leads the way in creating cloud-based healthcare software.
At PointClickCare, we offer a wealth of opportunities and a vibrant culture that empowers our employees. Our dynamic environment is the perfect place to advance your career while engaging in meaningful work alongside incredible colleagues. Here, you’ll discover a space where your talents can thrive, your career can grow, and your work will have a lasting impact on healthcare across North America. We believe that work becomes profoundly fulfilling when driven by a higher purpose.
Join us and be part of a team that is making a real impact.
To learn more about us, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
Intermediate Site Reliability Engineer (SRE) – Application
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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