
501 - 1000 employés
⚕️ Assurance santé
Healthcare Insurance
CareMetx, LLC est une entreprise spécialisée dans la transformation de l'accès des patients aux thérapies spécifiques en réduisant le temps jusqu'au traitement. Elle propose un service Hub numérique qui aborde les obstacles émotionnels, financiers et cliniques pour les patients, dans le but d'améliorer les délais de traitement et l'utilisation continue des thérapies. CareMetx offre un soutien rapproché et utilise une technologie avancée pour proposer des solutions d'accès, d'abordabilité et d'adhérence, profitant ainsi aux patients et aux prestataires de soins de santé. Elle s'associe avec des marques pharmaceutiques spécialisées, des fournisseurs de soins de santé et des systèmes hospitaliers pour améliorer les résultats des patients.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
Angular
AWS
Azure
Cloud
Docker
Google Cloud Platform
GraphQL
Java
JavaScript
Jenkins
Kubernetes
Microservices
Node.js
NoSQL
Python
React
Terraform
TypeScript
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501 - 1000 employés
⚕️ Assurance santé
Healthcare Insurance
CareMetx, LLC est une entreprise spécialisée dans la transformation de l'accès des patients aux thérapies spécifiques en réduisant le temps jusqu'au traitement. Elle propose un service Hub numérique qui aborde les obstacles émotionnels, financiers et cliniques pour les patients, dans le but d'améliorer les délais de traitement et l'utilisation continue des thérapies. CareMetx offre un soutien rapproché et utilise une technologie avancée pour proposer des solutions d'accès, d'abordabilité et d'adhérence, profitant ainsi aux patients et aux prestataires de soins de santé. Elle s'associe avec des marques pharmaceutiques spécialisées, des fournisseurs de soins de santé et des systèmes hospitaliers pour améliorer les résultats des patients.
• Lead the adoption of AI-first development practices across the engineering organization — including AI-assisted code generation, intelligent code review, automated documentation, and LLM-powered feature development. • Evaluate and integrate emerging AI tools, frameworks, and APIs (including large language models and generative AI platforms) into CareMetx's product and platform architecture. • Establish internal standards and best practices for responsible, scalable AI integration; conduct knowledge-sharing sessions to accelerate AI fluency across engineering teams. • Stay current with the rapidly evolving AI/ML landscape, bringing innovations back to the organization and translating them into concrete product improvements. • Architect and develop robust, scalable, and maintainable software systems across the full stack — from API design and data modeling to front-end implementation and cloud infrastructure. • Lead the technical design of complex features and platform capabilities, producing clear architectural documentation and driving cross-functional alignment before implementation begins. • Own multiple concurrent complex projects end-to-end, from requirements refinement through deployment and post-launch observability. • Proactively identify and address technical debt, refactoring opportunities, and architectural risks before they become blockers. • Collaborate closely with product management, UX, and business stakeholders to translate complex requirements into practical, elegant technical solutions.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline; equivalent professional experience will be considered. • 8–12 years of progressive software engineering experience, with a minimum of 2+ years in a Senior Engineer I or equivalent senior-level role. • Demonstrated track record of leading complex software projects from inception through production deployment and ongoing support. • Experience in the pharmaceutical, specialty pharmacy, or healthcare technology industry strongly preferred. • Expert-level proficiency in one or more backend languages (e.g., Python, Java, C#, Node.js) and strong competency in front-end technologies (e.g., React, TypeScript, Angular). • Deep experience designing and building RESTful and GraphQL APIs, microservices architectures, and event-driven systems. • Hands-on experience integrating AI/ML tools and LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into production software — building AI-powered features and intelligent workflows. • Strong command of cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes); experience with infrastructure-as-code (Terraform, Pulumi, or similar). • Proficiency with relational and NoSQL databases; experience with data modeling, query optimization, and ensuring data integrity at scale. • Experience with CI/CD tooling (e.g., GitHub Actions, Azure DevOps, Jenkins), observability platforms, and modern software delivery practices. • Excellent analytical and problem-solving skills; capable of breaking down ambiguous, high-complexity problems into actionable engineering plans.
• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events
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