PointClickCareRemote
Senior AI-Enabled DevOps Engineer
United States of America
Full Time
4 hours ago
$134,000 - $149,000 USD
H1B Sponsor Likely
Key skills
Cloud platforms AWSCloud platforms GCPCloud platforms AzureCloud-native architecturesMicroservicesInfrastructure as Code TerraformInfrastructure as Code IaC 2.0ContainersKubernetesCI/CD pipelinesGitOps workflowsDeployment strategies blue/greenDeployment strategies canaryScriptingprogramming Pythonprogramming Bashprogramming GoMonitoringobservability tools Prometheusobservability tools Grafanaobservability tools ELKobservability tools DatadogNetworkingsecurity principlesHigh-availability architecturesAI/ML workloadsSecurity automationDevSecOps practicesHealthcare technology domainPythonGoBashAIMLAWSAzureGCPTerraformDockerJenkinsGitHub ActionsGitLab CIArgoCDPrometheusGrafanaDatadogGitHubGitLabGitOpsPerformance OptimizationSaaSCI/CD
About this role
PointClickCare is a leading health tech company dedicated to helping providers deliver exceptional care. As a Senior DevOps Engineer, you will design, build, and operate scalable cloud infrastructure while integrating AI tools to enhance workflows and improve system reliability.
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
Requirements:
- 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)
- 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
- 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
- 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
- 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