Top Healthtech Software Engineer Jobs in Washington DC,

The Python Developer will enhance features for a web publishing platform, focusing on automated testing and AWS integration within a distributed team.

Oversees software development strategies for applications supporting medical learners. Manages teams, ensures quality delivery, and aligns IT initiatives with business goals.

Serve as technical leader designing and governing scalable Salesforce solutions for Biomedical Services. Lead architecture, establish standards and best practices, guide integrations and environment/release management, create architecture documentation and proofs-of-concept, mentor engineers, and drive platform innovation including AI and Salesforce capabilities. Collaborate with product, stakeholders, and enterprise teams to align technology with business needs.

Design, build, and operate end-to-end backend services, APIs, and web applications. Own features from design through production, maintain integrations, improve CI/CD and observability, troubleshoot full-stack incidents, participate in on-call rotation, and raise engineering standards.

Develop and maintain scalable, performant web applications and data pipelines. Collaborate with engineering managers, product, and stakeholders using Agile practices. Emphasize observability, testing, CI/CD, security, and incremental releases to deliver robust production systems.

Principal individual-contributor responsible for technical leadership and architecture of a scalable, secure API-driven digital pharmacy platform. Own system design, performance, PostgreSQL optimization, AWS infrastructure, cross-squad mentoring, compliance (HIPAA/SOC2), and prototyping to de-risk platform initiatives.

The Senior Full-Stack Engineer will develop claims monitoring tools and backend services, collaborate with other engineers, and influence the product architecture in a health insurance startup.

Own and evolve Roo's frontend platform: design system, shared UI architecture, developer tooling, and AI-assisted workflows. Lead migrations, React/React Native modernization, Expo adoption, and developer experience improvements. Partner with Product and Design to make components effortless to consume by engineers, designers, and AI agents, and remove platform friction to increase engineering velocity.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.