Senior Platform Engineer

Interra Health

. Design, build, and operate secure, scalable, highly available Azure infrastructure for core platform services and AI workloads using Terraform .

Posted 9/17/2026full-timeRemote • United StatesSenior💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating secure Azure infrastructure, implementing DevSecOps practices, and applying AI and automation tools to enhance engineering workflows. Proficient in managing CI/CD pipelines and ensuring observability and reliability of platform services.

Highest-signal resume keywords

Microsoft Azure ExpertiseTerraform ProficiencyDevOps ExperienceCI/CD ImplementationAI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure As CodeNetworkingIdentity/Access ManagementScripting LanguagesDockerKubernetesGitHub ActionsAI ToolingCloud Cost OptimizationMCP Server Administration

Soft Skills

Excellent CommunicationAutonomous WorkCollaboration

Tools & Technologies

JiraAgile WorkflowsGitHub CopilotM365 Copilot

Industry Keywords

Healthcare TechnologyRegulated SaaSHIPAAHITRUSTSOC 2

Tech Stack

Tools & technologies

AzureCloudDNSDockerKubernetesPythonTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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, hands-on experience applying AI, GenAI, or automation tooling to engineering workflows, developer productivity, or production systems
Advanced proficiency with Terraform, Docker, Kubernetes, and CI/CD platforms such as GitHub Actions
Proficiency in scripting or programming languages such as Python or PowerShell
Hands-on comfort with Jira and Agile workflows
Strong understanding of secure and compliant engineering practices, including secrets management, access controls, auditability, and risk-aware implementation
Comfortable working autonomously in ambiguous situations
Excellent communication, able to tailor messaging across engineering and business audiences
Experience in healthcare technology, regulated SaaS, or HIPAA / HITRUST / SOC 2 environments is nice to have
Direct MCP server implementation or administration experience is nice to have
Cloud cost optimization or enterprise platform modernization experience is nice to have
Must be legally authorized to work in the United States