About the role

Senior Site Reliability Engineer at PointClickCare focused on AI platforms reliability and operational excellence. Collaborating with cross-functional teams to ensure secure and efficient service delivery.

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

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
Experience in healthcare, life sciences, or other highly regulated industries with data privacy requirements