Senior AI-Enabled DevOps Engineer

About the job Job Description Senior DevOps Engineer Location: Salt Lake City, UT Remote Company Overview PointClickCare is a leading health tech company focused on helping providers deliver exceptional care. Recognized by Forbes as a top private cloud company, they serve over 30,000 provider organizations with their platform and dataset. Position Summary As a Senior DevOps Engineer, you will design, build, and operate scalable cloud infrastructure and developer platforms supporting both application and AI-driven workloads. You will own complex systems end-to-end, improve reliability and automation, and partner with software and data teams to bring services and models into production. Who You'll Work With You will be part of the DevOps team reporting to the DevOps Team Lead, working alongside other DevOps Engineers, and collaborating daily with Software Engineering and IT teams. 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 for consistency and scalability Improve deployment reliability through automation and rollout strategies Support AI/ML workloads including model deployment, scaling, and monitoring Integrate AI-assisted tools into DevOps workflows Design and maintain observability solutions using metrics, logs, and traces Participate in on-call rotations and lead incident response Provide technical guidance and code reviews Contribute to architecture discussions Requirements Must-Haves 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, microservices, Infrastructure as Code (Terraform, IaC 2.0), Containers and Kubernetes, CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD) Strong knowledge of CI/CD best practices, GitOps workflows, and deployment strategies (blue/green, canary) Proficiency in scripting/programming (Python, Bash, Go, etc.) 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 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, CKA) Experience with security automation and DevSecOps practices Compensation & Benefits Salary Range: $134,000 - $149,000 USD + bonus/commission + equity + benefits Benefits starting from Day 1 Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program