PointClickCare builds cloud platforms that power safer, more connected care for millions of patients. You'll design and operate resilient infrastructure services across Azure, AWS, GCP, and on-prem environments, driving reliability, automation, and operational excellence for identity, compute, storage, messaging, and shared services with an SRE-first mindset.
What you'll do- Design and implement highly available infrastructure solutions for compute, storage, identity, messaging, and shared services
- Build and maintain Infrastructure as Code using Terraform or Pulumi; establish best practices and standards
- Automate operational workflows to eliminate toil: auto-remediation, self-healing systems, capacity planning
- Define and track SLIs and SLOs for critical services; manage error budgets and reliability targets
- Participate in the on-call rotation and lead incident response for complex infrastructure issues; conduct blameless post-mortems and drive systemic fixes
- Develop observability strategies: metrics, logs, distributed tracing, alerting frameworks
- Apply AI-assisted tooling to reduce toil and speed up investigation: log analysis, alert triage, runbook and post-mortem drafting, automation scaffolding
- Own reliability for one or more infrastructure domains end to end, driving multi-team initiatives with product engineering from problem definition through adoption
- Mentor intermediate SREs; review infrastructure changes; establish operational best practices
- 5+ years of hands-on experience operating and designing cloud infrastructure
- Expert-level understanding of the core services of either Azure or AWS
- Working proficiency in at least one additional platform (Azure, AWS, or GCP)
- Experience designing and supporting production infrastructure that spans multiple cloud platforms
- 3+ years of production experience with Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- Ability to design scalable, reusable IaC modules and enforce GitOps workflows
- Experience managing IaC across multiple cloud providers, including module design, state layout, and provider-specific resource differences
- Strong proficiency in at least one programming language (Python, Go, Bash) for production automation
- Demonstrated ability to write tested, maintainable automation and tooling
- Practical application of SRE principles in production environments
- Experience defining and managing SLIs/SLOs, error budgets, toil metrics
- Track record of improving system reliability (e.g., MTTR reduction, availability improvements)
- Demonstrated depth across key infrastructure services:
- Expert-level experience running Kubernetes and containerized workloads in production on managed Kubernetes (AKS, EKS, or equivalent), plus VM-based compute
- Practical experience operating a service mesh in production (Istio preferred; Linkerd or equivalent)
- Strong proficiency with enterprise identity and SSO: SAML, OAuth/OIDC, LDAP, and cloud IAM
- Working knowledge of an enterprise federation platform such as PingFederate, Entra ID, Okta, or ADFS
- Strong proficiency in storage solutions (object, block, and file storage; Kubernetes persistent volumes)
- Working knowledge of designing and operating infrastructure in a regulated environment (HIPAA, SOC 2, PCI, FedRAMP, or equivalent)
- Familiarity with audit evidence, access controls, encryption in transit and at rest, and data residency constraints
- Proven track record of measurably reducing operational toil through automation (e.g. ticket volume, manual runbook executions, hours reclaimed)
- Strong communication and documentation skills; demonstrated ability to influence engineering teams
- 2+ years in healthcare technology or highly regulated SaaS environments (HIPAA, SOC 2, HITRUST)
- Cloud certifications: Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect, or equivalent
- Working experience operating Kubernetes at scale across multiple clusters (CKA or CKAD certification a plus)
- Working knowledge of messaging and event-streaming platforms (Kafka, Azure Service Bus, Event Hubs, SQS, Pub/Sub)
- Practical experience building CI/CD pipelines and deployment automation (GitLab, GitHub Actions, ArgoCD)
- Familiarity with AI-assisted engineering and operations tooling: LLM-based coding assistants, AIOps, agentic incident investigation
- Judgment about where AI belongs in an operational workflow, including safe handling of sensitive data in prompts and reviewing generated changes before they reach production contribution to open-source SRE tools or infrastructure projects (GitHub profile, PRs merged)
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related technical field
- OR equivalent practical experience with a proven track record in infrastructure and SRE practices evidence of continuous learning and staying current with SRE and cloud-native trends
- Transparent collaboration: We work in the open using OKRs, cross-functional retrospectives, and public roadmaps so everyone knows priorities and progress
- Blameless culture: We confront problems courageously through structured post-mortems and root cause analyses, focusing on systems improvement not individual blame
- Data-driven decisions: We use metrics, APM, and observability data to make evidence-based choices about reliability and performance investments
- Continuous learning: We learn from incidents through retrospectives and RCAs, sharing knowledge across teams to prevent repeat issues
- Outcome accountability: We're accountable for customer and business results, not just completing tasks, measuring success by impact
- Thoughtful experimentation: We hold strong opinions loosely, testing concepts and running small experiments before scaling solutions
- Iterative delivery: We think big but act small, using Scrum, delivery plans, and frequent milestones to ship incrementally and learn fast
- Inclusive environment: We create space to listen and learn, actively growing our Ally Community to support equity, belonging, and career growth for all
Skills Required
- 5+ years of hands-on experience operating and designing cloud infrastructure
- Expert-level knowledge of either Azure or AWS
- Working proficiency with at least one additional cloud platform: Azure, AWS, or GCP
- Experience designing and supporting production infrastructure across multiple cloud platforms
- 3+ years of production experience with Infrastructure as Code using Terraform, Pulumi, or CloudFormation
- Ability to design reusable Infrastructure as Code modules and enforce GitOps workflows
- Experience managing Infrastructure as Code across multiple cloud providers
- Strong proficiency in Python, Go, or Bash for production automation
- Experience writing tested, maintainable automation and tooling
- Practical production experience applying SRE principles
- Experience defining and managing SLIs, SLOs, error budgets, and toil metrics
- Demonstrated track record of improving system reliability, such as reducing MTTR or improving availability
- Expert-level experience operating Kubernetes and containerized workloads in production on AKS, EKS, or equivalent
- Production experience operating VM-based compute
- Practical experience operating a production service mesh; Istio preferred
- Strong proficiency with enterprise identity and SSO, including SAML, OAuth/OIDC, LDAP, and cloud IAM
- Working knowledge of PingFederate, Entra ID, Okta, ADFS, or an equivalent enterprise federation platform
- Strong proficiency with object, block, and file storage and Kubernetes persistent volumes
- Working knowledge of infrastructure design and operations in regulated environments
- Familiarity with audit evidence, access controls, encryption in transit and at rest, and data residency constraints
- Proven ability to reduce operational toil through automation
- Strong communication and documentation skills with the ability to influence engineering teams
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field, or equivalent practical experience
- 2+ years of experience in healthcare technology or highly regulated SaaS environments
- Cloud certification such as Azure Solutions Architect Expert, AWS Solutions Architect Professional, or GCP Professional Cloud Architect
- Experience operating Kubernetes at scale across multiple clusters
- CKA or CKAD certification
- Working knowledge of Kafka, Azure Service Bus, Event Hubs, SQS, or Pub/Sub
- Practical experience building CI/CD pipelines with GitLab, GitHub Actions, or ArgoCD
- Familiarity with AI-assisted engineering and operations tooling
- Contribution to open-source SRE tools or infrastructure projects
PointClickCare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PointClickCare and has not been reviewed or approved by PointClickCare.
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Healthcare Strength — Health and dental coverage appear robust, with wellness and assistance programs reinforcing core medical benefits. Coverage quality stands out relative to other benefit elements.
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Leave & Time Off Breadth — PTO and paid holidays are characterized as generous, and flexible work-from-home options are widely available. Occasional extras like summer half‑day Fridays further expand time-off flexibility.
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Flexible Benefits — A customizable mix is evident through remote/hybrid arrangements, day-one eligibility, and a lifestyle or personal spending account. Benefits such as wellness credits and support resources can be tailored to individual needs.
PointClickCare Insights
What We Do
PointClickCare is the market leader driving the transformation of healthcare vulnerable and complex populations through a broad, connected care network powered by deep insights with a commitment to value, outcomes and innovation. We connect post-acute and acute care settings, people and systems like no other company. Our steadfast commitment to our culture and to providing growth opportunities to our employees is evidenced by recent recognition of PointClickCare as one of Canada’s best-managed companies and most admired corporate cultures.








