Staff Software Development Engineer – NodeJs, AI

Emploi pas sur LinkedIn

🕒 il y a 9 jours

🌵 Arizona, Florida, +2 états de plus – Distant

🌵 Arizona – Remote 🐊 Florida – Remote ❄️ Minnesota – Remote 🤠 Texas – Remote

💵 $106 605 - $284 280 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

CVS Health

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1963

⚕️ Assurance santé

🛒 Commerce de détail

🧘 Bien-être

Healthcare Insurance • Retail • Wellness

CVS Health est une entreprise américaine de premier plan dans le domaine de la santé, dédiée à l'amélioration de l'accès et de l'accessibilité financière des soins de santé. L'entreprise s'appuie sur une approche globale qui comprend les services de santé, l'assurance santé et la gestion des prestations pharmaceutiques. À travers ses filiales, telles qu'Aetna et CVS Caremark, CVS Health propose une gamme de services qui favorisent le bien-être, la gestion des maladies chroniques et une couverture abordable des médicaments prescrits. CVS Health exploite des pharmacies de proximité, fournit des services de pharmacie par correspondance et gère des programmes de médicaments spécialisés, visant à rendre les soins de santé pratiques et accessibles à tous. Animée par une mission de connecter les individus aux services de soins essentiels, CVS Health s'engage à favoriser des communautés en meilleure santé et à soutenir le bien-être de toutes les personnes.

Description

• Architect and deliver enterprise AI platform capabilities including workflow orchestration engines, multi-provider LLM integration, and automated deployment pipelines that enable healthcare teams to build and deploy AI applications at scale • Design multi-tenant infrastructure with automated provisioning, namespace isolation, and role-based access control to support secure, per-team dedicated environments across the platform • Build backend services and APIs for workflow authoring, execution orchestration, and platform observability using cloud-native patterns on Kubernetes infrastructure • Implement production observability and reliability practices including distributed tracing, performance monitoring, and incident response for platform health and cost management • Drive technical architecture decisions across the platform, mentor engineers on design patterns, security best practices, and operational excellence • Partner with business stakeholders, product teams, and engineering leadership to align platform roadmap with healthcare automation objectives and adoption strategy • Champion security posture including secrets management, audit logging, compliance requirements, and production readiness standards

🎯 Exigences

• 7+ overall years of software engineering experience building and delivering production-grade backend services, distributed systems, and platform infrastructure • 5+ years of backend development experience with modern programming languages and frameworks (Python, Node.js, or Java) including REST/GraphQL APIs, microservices architecture, and asynchronous processing using message brokers (Kafka or Similar) • 3+ years building highly available, scalable backend platform services with cloud-native infrastructure including Kubernetes, containerized deployments, and CI/CD pipelines • 2+ years of experience with Google Cloud Platform including Google Kubernetes Engine (GKE), Cloud Storage, and cloud-native service deployment • 2+ years of technical leadership including architecture decision-making, design reviews, and mentoring engineers • 1+ years with LLM integration, AI application development, or intelligent automation systems including prompt engineering and model orchestration

🏖️ Avantages

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility