
501 - 1000 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
CareMetx, LLC is a company that specializes in transforming patient access to specialty therapeutics by reducing the time to therapy. They offer a digital Hub service that addresses emotional, financial, and clinical barriers for patients, aiming to improve treatment timelines and ongoing therapy use. CareMetx provides high-touch support and utilizes advanced technology to offer solutions for access, affordability, and adherence, benefiting both patients and healthcare providers. They partner with specialty pharmaceutical brands, healthcare providers, and hospital systems to enhance patient outcomes.
🕒 June 25
Angular
AWS
Azure
Cloud
Docker
Google Cloud Platform
GraphQL
Java
JavaScript
Jenkins
Kubernetes
Microservices
Node.js
NoSQL
Python
React
Terraform
TypeScript
Where this job comes from
Posted on CareMetx, LLC's careers page, not through a job board
First seen by Remote Rocketship June 25
Still open on CareMetx, LLC's site. Checked 5 hours ago.

501 - 1000 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
CareMetx, LLC is a company that specializes in transforming patient access to specialty therapeutics by reducing the time to therapy. They offer a digital Hub service that addresses emotional, financial, and clinical barriers for patients, aiming to improve treatment timelines and ongoing therapy use. CareMetx provides high-touch support and utilizes advanced technology to offer solutions for access, affordability, and adherence, benefiting both patients and healthcare providers. They partner with specialty pharmaceutical brands, healthcare providers, and hospital systems to enhance patient outcomes.
• Lead the adoption of AI-first development practices across the engineering organization. • 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. • 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. • 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. • Collaborate closely with product management, UX, and business stakeholders to translate complex requirements into practical, elegant technical solutions. • Provide technical mentorship and career development guidance to junior and mid-level engineers. • Monitor system health, analyze production logs and metrics, and lead incident response for critical issues.
• 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.
• Health insurance • Flexible work hours • Professional development opportunities
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