Senior Platform Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $130 000 - $170 000 / an

⏰ Temps Plein

🟠 Senior

🏗️ Ingénieur Plateforme

🗣️🇺🇸🇬🇧 Anglais requis

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Publiée sur la page carrières de Interra Health, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de Interra Health. Vérifiée il y a 2 heures.

Logo of Interra Health

Interra Health

51 - 200 employés

🏥 Santé

☁️ SaaS

🔌 API

Healthcare • SaaS • API

Interra Health est une entreprise de technologie en santé issue de la fusion de DoseSpot, Arrive Health et pVerify. Elle propose des solutions intégrées, axées sur les développeurs, qui connectent les avantages médicaux et pharmaceutiques avec l'exécution des ordonnances afin de permettre des décisions transparentes et éclairées au point de soin. Sa gamme de produits inclut DoseSpot (e-prescription et engagement des patients), Arrive Health (couverture en temps réel, informations sur les prix et l'abordabilité) et pVerify (vérification de l'éligibilité et des avantages des assurances). Interra Health vise à fournir des informations en temps réel sur la couverture, le coût et l'accès pour les prestataires, ainsi que des informations claires sur la couverture, l'abordabilité et la disponibilité pour les patients. Elle soutient les PBM, les payeurs, les partenaires des sciences de la vie et les plateformes technologiques de santé avec des APIs et une infrastructure dédiée aux développeurs.

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

🎯 Exigences

• 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

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