AI Infrastructure Operations Engineer

Private Health Management guides patients and families through the chaos and complexity of serious medical care. The AI Infrastructure & Operations Engineer will operationalize the AI-enabled clinical platform, ensuring reliability, observability, and security as it scales within the healthcare environment.

Responsibilities:

• Establish operational reliability for Companion across AKS infrastructure, AI agent workloads, monitoring systems, and deployment pipelines
• Build meaningful observability practices that help PHM understand platform behavior, usage trends, and operational risks before they become incidents
• Create sustainable operational hygiene around patching, CVE remediation, secrets rotation, dependency management, and cloud maintenance cycles
• Strengthen platform resilience, documentation, and operational processes so the environment can scale without relying on tribal knowledge
• Monitor and maintain AKS infrastructure, AI agent workloads, deployment pipelines, and support Azure services
• Investigate incidents, troubleshoot production issues, and improve platform resilience through better operational patterns and tooling
• Support release operations and help ensure deployments remain stable, observable, and recoverable
• Develop dashboards, alerts, logging patterns, and operational baselines using Azure Log Analytics and Application Insights
• Identify system trends, performance bottlenecks, and emerging operational risks across infrastructure and AI workloads
• Improve visibility into AI agent behavior, enterprise workflow integrations, latency patterns, and system health under real user load
• Maintain operational cadence for dependency updates, CVE remediation, image signing, secrets rotation, and cluster patching
• Support security-first infrastructure practices across Kubernetes, CI/CD pipelines, and Azure environments
• Partner with security and engineering stakeholders to maintain compliance-aware operational practices in a HIPAA-regulated environment
• Work closely with technology leadership, platform engineers, security stakeholders, and AI architects to evolve the operational maturity of Companion
• Contribute documentation, operational runbooks, and shared knowledge that reduce platform fragility over time
• Help establish practical operational patterns for AI systems where industry best practices are still emerging

Requirements:

• Strong hands-on Kubernetes operations experience, including troubleshooting workloads, admission controllers, cluster networking, and production incidents
• Experience supporting cloud-native infrastructure in Azure environments, particularly AKS and related operational tooling
• Demonstrated strength in monitoring, observability, and incident response using structured logging and metrics platforms
• SRE mindset with experience handling on-call responsibilities, operational prioritization, and post-incident analysis
• Comfort operating in fast-moving environments with incomplete documentation, evolving processes, and broad ownership areas
• Strong communication and collaboration skills with the ability to explain technical issues clearly across technical and non-technical audiences
• Experience with CI/CD pipeline tooling including GitHub Actions, Kaniko, cosign, image signing, or Actions Runner Controller
• Familiarity with Infrastructure as Code practices using Bicep or Azure resource automation tooling
• Exposure to HIPAA, SOC2, or other compliance-aware operational environments
• Experience supporting AI or LLM-backed applications in production environments