Senior AI Platform Engineer: Azure, SRE & GenAI Ops

Interrahealth; United States; Remote; USD 130.000 - 170.000; Vollzeit

Zusammenfassung

Interra Health is scaling AI across engineering; the Senior Platform Engineer will design, build, and operate the Azure-based platform supporting core services and AI workloads. You will own MCP server configurations, AI integration points, CI/CD pipelines with DevSecOps, and observability to ensure reliability.

This role emphasizes hands-on delivery over management in a post-merger environment. Strong collaboration with the AI Platform Engineer and other teams is essential to ship secure,

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or 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.
• Experience applying AI/GenAI, or automation tooling to engineering workflows, DevOps, or production systems (LLMOps/GenAIOps).

Aufgaben

• Design, build, and operate secure, scalable Azure infrastructure underpinning core platform services and AI workloads, using Infrastructure as Code (Terraform).
• Configure MCP servers and AI integration points for enterprise use, including access patterns, reliability, and lifecycle management.
• 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 post-mortems.
• 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.

Kenntnisse

DevOps

Cloud Engineering

SRE

Agile workflows

Communication

Ausbildung

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

Docker

Kubernetes

GitHub Actions

Jira

Jobbeschreibung

Interra Health is scaling AI across engineering; the Senior Platform Engineer will design, build, and operate the Azure-based platform supporting core services and AI workloads. You will own MCP server configurations, AI integration points, CI/CD pipelines with DevSecOps, and observability to ensure reliability.

This role emphasizes hands-on delivery over management in a post-merger environment. Strong collaboration with the AI Platform Engineer and other teams is essential to ship secure,