Note: The job is a remote job and is open to candidates in USA. Interra Health is a healthcare technology company transforming how providers and patients navigate the prescription journey through connected software solutions. The Senior Platform Engineer will build and operate secure Azure infrastructure and AI-enabled platform capabilities, including MCP servers, LLMOps/GenAIOps tooling, CI/CD, observability, security, and compliance. The role also supports platform reliability, AI tool adoption, production systems, and engineering enablement.
Responsibilities
- Design, build, and operate secure, scalable, highly available Azure infrastructure underpinning both core platform services and AI workloads, using Infrastructure as Code (Terraform)
- Configure, secure, and operate MCP servers and related AI integration points, including access patterns, reliability, and lifecycle management, for enterprise use
- Build and operationalize AI-enabled capabilities, including internal engineering assistants, workflow automation, infrastructure insights, and incident-response support, applying practical LLMOps/GenAIOps practices for evaluation, monitoring, logging, cost management, and access control
- Implement and continuously improve CI/CD pipelines in GitHub Actions and DevSecOps practices, integrating security and compliance into AI and infrastructure deployment workflows from the ground up
- Own observability and reliability for AI and platform services, applying SRE principles such as SLOs, incident response, and blameless postmortems
- Partner with the Lead AI Platform Engineer to implement the AI platform roadmap, building the reusable patterns, guardrails, and “paved road” solutions other engineering teams adopt
- Evaluate, pilot, and support adoption of AI coding assistants and platform tooling across the engineering AI landscape, including GitHub Copilot, M365 Copilot, and other emerging AI dev tools, with a build-versus-buy mindset balancing speed, cost, security, and long-term maintainability
- 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 so AI and platform practices scale beyond any one person
Skills
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, plus 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, hands-on experience applying AI, GenAI, or automation tooling to engineering workflows, developer productivity, or production systems, such as LLMOps/GenAIOps, model gateways, RAG patterns, agent frameworks, or AI observability
- 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, and strong understanding of secure and compliant engineering practices: secrets management, access controls, auditability, and risk-aware implementation
- Comfortable working autonomously in ambiguous situations, driving clarity through experimentation and iteration in a fast-paced, post-merger environment
- Excellent communication, able to tailor messaging across engineering and business audiences
- 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 Overview