Top Healthtech Software Engineer Jobs in Washington DC,

Join the company's IT Talent Network to be considered for future information technology openings. Applicants should review current job postings before applying; this network is for IT roles only.

Lead and grow a multidisciplinary engineering team across full-stack, data engineering, and BI. Own people management, technical direction (C#/.NET, SQL, Vue 3, Power BI), data pipeline reliability, roadmap delivery, cross-functional collaboration, and engineering best practices to improve velocity, quality, and health outcomes.

Build and deploy integrations between the Bayesian platform and large EHR systems, implement automated integration and end-to-end tests, support production deployments and go-lives, develop tooling and automation (including LLMs), and collaborate with implementation and clinical teams to deliver clinician-facing workflows.

As a Backend Engineer at Coral AI, you will design and build scalable backend systems, collaborate with teams, enforce best practices, and mentor engineers.

Design, build, and maintain cloud-native applications using .NET and React. Develop backend services, APIs, and front-end interfaces while ensuring system stability and scalability. Collaborate across teams to improve healthcare solutions through software and AI-powered tools.

Lead full-stack product engineering for AI-powered healthcare features. Build frontend experiences, backend services, APIs, relational data models, and AI workflows. Prototype, ship, and iterate production systems; improve AI via evaluation and product signals. Ensure reliability, privacy, observability, and operational readiness while collaborating with product, design, customers, and engineers.

Build and maintain full-stack features for a React/TypeScript frontend and NestJS/TypeScript backend, integrate LLM-powered conversational agents, design APIs, auth (SSO/SAML), real-time updates, background processing (AWS SQS), database schemas (PostgreSQL/Sequelize), API docs (Swagger), and tests (Jest/pytest). Collaborate on architecture, code review, and production support.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

Manage and grow the VetSoft Payments engineering team, focusing on scalable, secure payments systems while leading and mentoring a distributed engineering team.