Interra Health

Platform Engineer

• Design, build, and operate secure, scalable, highly available Azure infrastructure for core platform services and AI workloads using Terraform
• Configure, secure, and operate MCP servers and related AI integration points for enterprise use
• Build and operationalize AI-enabled engineering assistants, workflow automation, infrastructure insights, and incident-response support
• Apply LLMOps/GenAIOps practices for evaluation, monitoring, logging, cost management, and access control
• Implement and improve GitHub Actions CI/CD pipelines and DevSecOps practices
• Own observability and reliability for AI and platform services using SRE principles, SLOs, incident response, and blameless postmortems
• Partner with the Lead AI Platform Engineer to implement the AI platform roadmap and reusable engineering patterns
• Evaluate and support adoption of GitHub Copilot, M365 Copilot, and other AI development tools
• Participate in Agile ceremonies, track and prioritize work in Jira, and influence release planning and architectural decisions
• Participate in on-call rotations and provide Level 3 support for production platform and AI systems
• Contribute to internal documentation, runbooks, and knowledge-sharing

Senior Platform Engineer

Security Engineer

• Lead security assessments of AI/ML models, data pipelines, and AI-enabled applications
• Identify vulnerabilities including prompt injection, model inversion, data poisoning, and adversarial inputs
• Partner with Data & Analytics and Engineering to embed security requirements and threat modeling throughout the AI development lifecycle
• Build and maintain production guardrails, monitoring, and detection controls for AI systems
• Flag anomalous model behavior and unauthorized data access
• Conduct security reviews of third-party AI tools, APIs, and vendors
• Lead incident response for AI-related security events
• Design and advise on standards for secure, responsible AI use
• Test and validate access controls, encryption, and data segmentation
• Use AI tools for security testing, code review, and threat research
• Monitor the evolving AI threat landscape and translate emerging risks into mitigations
• Document findings, risk assessments, and remediation plans for technical and non-technical stakeholders
• Report to the Lead Security Engineer and escalate complex or high-impact issues to senior security leadership

Senior Platform Engineer

AI Security Engineer