Senior AI-Enabled DevOps Engineer

PointClickCare

1d•$134,000 - $149,000•Remote

About The Position

PointClickCare builds cloud platforms that power safer, more connected care for millions of patients. As a Senior DevOps Engineer, you will design, build, and operate scalable cloud infrastructure and developer platforms that support both application and AI-driven workloads. You are a strong individual contributor who owns complex systems end-to-end, improves reliability and automation, and partners closely with software and data teams to bring services and models into production. You balance delivery and quality, applying DevOps and SRE best practices to improve developer velocity, system reliability, and operational insight.

Requirements

Strong Hands-On Expertise
Ability to own systems from design through production support. Design and setup end to end CI/CD Pipelines.
Practical understanding of distributed systems and cloud infrastructure.
Bias toward automation, observability, and operational excellence.
Growth-Oriented Leadership
Willingness to mentor and support teammates.
Comfort collaborating across functions and advocating for better practices.
Ability to communicate trade-offs clearly and constructively.
Strong knowledge of containerization and orchestration (Docker, Kubernetes).
Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog).
Solid understanding of networking, security principles, and high-availability architectures.
Strong problem-solving skills and ability to work in complex, distributed environments.
5-8+ years of progressive experience designing and implementing large-scale, automated infrastructure and CI/CD Pipelines
Strong experience with cloud platforms (AWS, GCP, or Azure).
Hands-on expertise in:
cloud-native architectures and microservices.
Infrastructure as Code (Terraform, IaC 2.0, etc.)
Containers and Kubernetes
CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
Strong knowledge-level of CI/CD best practices, GitOps workflows and deployment strategies (blue/green, canary)
Proficiency in scripting or programming (Python, Bash, Go, etc.).
Demonstrated ability to write custom scripts for deployment, monitoring and system tasks.
Experience with monitoring, logging, and alerting tools.
Exposure to AI/ML workloads.

Nice To Haves

3+ years in healthcare technology or other highly regulated SaaS environments (financial services, government
Experience with AI-driven monitoring or AIOps tools
Knowledge of cloud cost optimization strategies.
Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)
Experience with security automation and DevSecOps practices.
3+ years in healthcare technology or other highly regulated SaaS environments (financial services, government)
Experience with AI-driven monitoring or AIOps tools.
Knowledge of cloud cost optimization strategies.
Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)
Experience with security automation and DevSecOps practices.

Responsibilities

Design, implement, and operate cloud-native infrastructure for production workloads.
Build and maintain CI/CD pipelines for applications and ML systems.
Develop and manage infrastructure-as-code to ensure consistency, scalability, and repeatability.
Improve deployment reliability through automation, testing, and rollout strategies.
Support AI/ML workloads, including model deployment, scaling, and monitoring.
Integrate AI-assisted tools into DevOps workflows to improve:
Alert quality and noise reduction
Incident triage and root-cause analysis
Capacity planning and performance optimization
Design and maintain observability solutions using metrics, logs, and traces.
Participate in on-call rotations and lead incident response for complex issues.
Continuously improve system resilience through proactive automation.
Partner with application, platform, and data teams to deliver reliable systems.
Provide technical guidance and code reviews for devops team members.
Contribute to architecture discussions and influence technical direction within your domain.
Document standards, runbooks, and best practices.
Participate in on-call rotations