Staff Software Development Engineer - NodeJs and AI

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

CVS Health is seeking hands-on, passionate technologists who want to join a high-energy team driving digital innovation at the intersection of healthcare and AI. Our mission is to reimagine what a pharmacy and healthcare company can deliver in the digital age—improving outcomes for patients and operational efficiency for healthcare professionals. We are looking for a Staff Software Development Engineer with expert-level backend engineering knowledge to build enterprise AI platform capabilities that automate workflows and accelerate healthcare solutions. This role requires collaboration across business, operations, engineering teams, and leadership to deliver production-grade infrastructure that makes a measurable difference. You'll architect and deliver core platform services including workflow orchestration engines, multi-provider LLM integration, automated deployment pipelines, and production observability infrastructure. Your work will directly reduce manual processes, accelerate time-to-production for AI applications, and enable teams to focus on healthcare innovation rather than infrastructure complexity. The right candidate is a proven analytical thinker who can decompose complex technical challenges, mentor engineers, drive architectural decisions, and deliver measurable automation outcomes. We value collaboration and mutual growth—join us if you share that commitment. Expectations for

: 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