Senior Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $170k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 3%

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Interra Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

☁️ SaaS

🔌 API

Healthcare • SaaS • API

Interra Health is a healthcare technology company formed by the merger of DoseSpot, Arrive Health, and pVerify. It provides integrated, developer-first solutions that connect medical and pharmacy benefits with prescription fulfillment to enable transparent, informed decisions at the point of care. Its product suite includes DoseSpot (ePrescribing and patient engagement), Arrive Health (real-time coverage, pricing, and affordability insights), and pVerify (insurance eligibility and benefits verification). Interra Health aims to deliver real-time coverage, cost, and access insights for providers and clear coverage, affordability, and availability information for patients, and supports PBMs, payers, life sciences partners, and health tech platforms with APIs and developer infrastructure.

📋 Description

• 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

• 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