Own reliability, observability, and security for AI/ML platforms (data processing, workspaces, labeling, model serving). Build IaC and automation, define SLOs/error budgets, run incident response and DR exercises, implement security controls, mentor engineers, and optimize cost, capacity, and operational standards across cloud environments.
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.
**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.
Team Summary:
The AI SRE team is a focused group of SRE engineers dedicated to making PointClickCare's AI and ML platforms reliable, secure, and operationally excellent — from data processing and ML workspaces to model serving and labeling systems. We treat reliability as a product — prioritizing observability, automation, and safe operations so that data scientists and ML engineers can focus on building AI capabilities that improve patient care. You will spend a significant portion of your time hands-on — building automation, designing guardrails, hardening platforms, and leading incident response across cloud environments like Databricks, Azure AI suites. The team collaborates closely with research, platform, data, and security teams across the AI engineering organization.
Job Summary:
AI SRE exists to ensure PointClickCare's AI platforms run safely, reliably, and efficiently — protecting patient data while enabling teams to move fast with confidence. We solve complex cross-cutting reliability and security problems through well-designed automation, SLOs, and operational guardrails — so that product and research teams can focus on delivering AI-driven value to clinicians and patients. We own the infrastructure operability of AI data processing, ML workspaces, labeling systems, and model serving — and we drive the infrastructure observability, incident response, compliance controls, and cost optimization that keep those platforms healthy through sound SRE practices and a security-first mindset
Key responsibilities:
- Own service level objectives, error budgets, and reliability targets for the infrastructure underpinning cloud-based platforms — ensuring infrastructure observability (metrics, logs, traces), alert quality, and telemetry completeness across platform components and serving endpoints
- Design, build, and maintain infrastructure-as-code, operational automation, and change control workflows for AI/ML platforms — with a focus on repeatability, consistency, and toil reduction
- Implement and maintain platform security controls — including network segmentation, secrets management, encryption, and data protection safeguards — aligned to compliance requirements and partnering with security teams to respond to emerging risks
- Lead incident response and blameless postmortems; validate backup/restore and disaster recovery processes; conduct game days and resiliency testing to harden platform and infrastructure reliability
- Mentor engineers, influence design reviews, and collaborate across engineering teams to improve platform resiliency, cost efficiency, capacity planning, and operational standards
Qualification and Skills:
Minimum:
- 5+ years in SRE, platform engineering, or infrastructure roles supporting production cloud environments and mission-critical applications
- Strong proficiency with observability — metrics, logging, distributed tracing, SLI/SLO frameworks — and production ownership including incident response, blameless postmortems, and on-call operations
- Strong proficiency with Infrastructure as Code (Terraform), GitOps practices, and CI/CD for infrastructure and platform changes
- Working proficiency with cloud platform administration — compute, networking, storage, and operating managed data or AI/ML platform services in production (e.g., Databricks, Azure ML, or Kubernetes-hosted infrastructure)
- Working proficiency with platform security — network segmentation, secrets management, encryption at rest and in transit, and key management
- Strong programming skills for automation, operational tooling, and infrastructure management
- Strong communication and documentation skills — able to write runbooks, lead postmortems, influence operational standards across teams, and translate technical complexity for diverse audiences
Preferred:
- Experience with disaster recovery planning, multi-region patterns, and capacity or cost optimization (FinOps)
- Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling
- Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling
- Experience in healthcare, life sciences, or other highly regulated industries with data privacy requirements
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 [email protected] should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [email protected]
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead Data Scientist analyzing global fraud data to identify patterns, develop predictive models, and prevent payment fraud. The role builds fraud-related products and services, extracts insights from large datasets, collaborates with stakeholders, and presents findings to management and clients. Required skills include Python, Spark, complex data queries, and advanced data analysis. Experience with agentic AI systems and Unix is preferred, along with payments or fraud expertise.
Top Skills:
SparkLlm-Based AgentsPythonUnix
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Manages global Mastercard BRAM investigations involving potential illegal activity, brand-damaging conduct, and Standards violations. Oversees referral intake, evidence review, investigation strategy, customer responses, escalations, case quality, documentation, and closure. Provides guidance and prioritization to investigators, manages referral partners and vendors, monitors workloads and metrics, and collaborates with Legal, Regulatory Affairs, Operations, and regional teams to deliver defensible outcomes and improve governance, tools, analytics, and investigative processes.
Top Skills:
Case Management SystemsInvestigation ToolsMS OfficeMonitoring ToolsReporting And Analytics Tools
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Conducts investigations under Mastercard’s Business Risk Assessment and Mitigation program, reviewing evidence, evaluating customer responses, documenting findings, and supporting case outcomes. The role manages referrals, escalations, stakeholder communications, case tracking, reporting, trend identification, process improvements, and training. It requires careful handling of confidential data and collaboration with customers, vendors, internal teams, and referral partners to protect Mastercard’s brand and enforce its standards.
Top Skills:
MS Office
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
