[Hiring] Senior Platform Engineer @Interra Health

Role Description

Interra Health is scaling AI across engineering: developer velocity, operational resilience, automation, observability, and secure delivery. The Senior Platform Engineer is the hands-on builder who turns that ambition into working systems. Reporting to the Director, Platform & Operations, this role owns the design, implementation, and operation of AI-enabled platform capabilities:

• MCP server configuration and reliability
• LLMOps/GenAIOps tooling
• Secure model integration patterns
• Underlying Azure cloud infrastructure

This is an individual-contributor role, not a people-management seat. You will partner closely with the Lead AI Platform Engineer and with the engineers who run the core Azure platform, carrying direct, hands-on responsibility for building, hardening, and operating the AI layer itself.

What you'll do:

• Design, build, and operate secure, scalable, highly available Azure infrastructure using Infrastructure as Code (Terraform).
• Configure, secure, and operate MCP servers and related AI integration points.
• Build and operationalize AI-enabled capabilities, applying practical LLMOps/GenAIOps practices.
• Implement and continuously improve CI/CD pipelines in GitHub Actions and DevSecOps practices.
• Own observability and reliability for AI and platform services, applying SRE principles.
• Partner with the Lead AI Platform Engineer to implement the AI platform roadmap.
• Evaluate, pilot, and support adoption of AI coding assistants and platform tooling.
• Participate in Agile ceremonies, track and prioritize work in Jira.
• Participate in on-call rotations and provide Level 3 support for production platform and AI systems.
• Contribute to internal documentation, runbooks, and knowledge-sharing.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6+ years of hands-on experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
• Deep expertise in Microsoft Azure, including infrastructure as code, networking, identity/access, DNS, and load balancing.
• Practical experience applying AI, GenAI, or automation tooling to engineering workflows.
• Advanced proficiency with Terraform, containerization and orchestration (Docker, Kubernetes), and CI/CD platforms such as GitHub Actions.
• Proficient in scripting or programming languages (e.g., Python, PowerShell).
• Hands-on comfort with Jira and Agile workflows.
• Strong understanding of secure and compliant engineering practices.
• Comfortable working autonomously in ambiguous situations.
• Excellent communication skills, able to tailor messaging across engineering and business audiences.

Nice to Have

• Experience in healthcare technology, regulated SaaS, or HIPAA / HITRUST / SOC 2 environments.
• Direct MCP server implementation or administration experience.
• Cloud cost optimization or enterprise platform modernization experience.

Company Description