PointClickCare

Senior AI-Enabled DevOps Engineer

Rol remoto de DevOps Engineering con fit claro de ubicación del candidato.

Publicado8 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

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Actualidad de la fuente8 jul 2026

Fit de ubicación1 país aceptado

Match de stackAWS, Azure

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Aplicando aSenior AI-Enabled DevOps EngineerPointClickCare

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Resumen del rol

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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:
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.)

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

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.

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.

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. Education
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.

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