Senior Full Stack Engineer

Position Summary:Our partner is building AI-enabled healthcare experiences that help patients access care more efficiently while supporting critical patient engagement initiatives, including Voice AI platforms and modern communication experiences. As these systems continue to evolve, they are adding a Senior Full Stack Engineer with deep backend engineering, cloud architecture, and distributed systems experience.This is not an AI-first engineering role. The team is looking for a strong software engineer who understands how complex systems behave in production, can design scalable and reliable architectures, and can build software that remains maintainable long after deployment. AI is simply one of the business problems being solved.The environment includes cloud-native services, APIs, event-driven architectures, distributed systems, and AI-powered integrations. The strongest candidates enjoy discussing system design, architectural tradeoffs, reliability, scalability, and production challenges just as much as they enjoy building new capabilities.Experience and Education:BS in Computer Science, Information Technology, Arts or equivalent experience/fieldBackground building backend-focused applications using Node.js and TypeScriptHistory working with distributed systems and cloud-native architecturesExposure to event-driven systems, messaging platforms, or microservices environmentsExperience developing and supporting production-scale APIs and backend servicesBackground working within AWS-based application ecosystemsSkills and Strengths:Node.jsDistributed SystemsSystem DesignBackend ArchitectureTypeScriptAPI DevelopmentAWSScalabilityTroubleshootingEvent-Driven ArchitectureMicroservicesSoftware Engineering FundamentalsCloud-Native ArchitectureSQSSNSDynamoDBAWS LambdaAI IntegrationsNestJSOpenSearchPrimary Job Responsibilities:Design and develop scalable backend services that support AI-enabled healthcare applicationsBuild and maintain APIs, integrations, and service-to-service communication layersContribute to architecture decisions that improve scalability, reliability, and maintainabilityDevelop cloud-native solutions within AWS environmentsSupport Voice AI initiatives and related patient engagement platformsDesign and implement event-driven workflows and asynchronous processing patternsTroubleshoot production issues across distributed systems and cloud servicesEvaluate technical tradeoffs and recommend practical engineering solutionsParticipate in system design discussions and architecture reviewsBuild integrations between internal applications, cloud services, and AI-powered platformsImprove observability, reliability, and operational performance across existing systemsCollaborate with engineering, product, and business stakeholders to deliver technical solutionsMentor engineers through best practices, architectural thinking, and engineering rigorContribute across multiple initiatives as organizational priorities evolve