Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Health/dental/vision benefits
- Annual cash incentive program
- 401k with match
- Flexible PTO
- PHM for PHM — our services for you and your dependents — and other benefits
Company Overview