• Design, build, and maintain full-stack applications that power Datavant's healthcare data ecosystem • Deliver exceptional user experiences by partnering closely with product managers, designers, and fellow engineers • Develop scalable frontend applications, backend services, APIs, and data-driven solutions that support millions of healthcare records and transactions • Guide technical design decisions and help establish architecture patterns that enable long-term scalability and maintainability • Mentor engineers and contribute to a culture of technical excellence, ownership, and continuous learning • Own substantial projects end-to-end, from technical design through implementation, deployment, and ongoing operation • Drive innovation and deliver valuable solutions that improve outcomes for healthcare organizations and patients • Share your expertise with the engineering community through technical discussions, mentorship, and contributions to our engineering blog

• You'll be working on the core product alongside the team and directly with our CTO John. • Your day-to-day will be a mix of developing new features, reviewing code, and supporting existing codebases. • You will be directly responsible for advancing our products across multiple platforms, in addition to developing backend API’s and partner integrations. • You will be involved in the full development lifecycle including: design, development, testing, deployment, and maintenance.

• Define front-end architecture and technical strategy, designing scalable platforms and leading complex UI systems development (e.g., React, Angular, Next.js) • Build polished, demo-ready front-end experiences that communicate the value of AI systems to clients and stakeholders • Define front-end standards and best practices, and contribute to shared design systems • Lead back-end development and API architecture in Python and Node.js, integrating complex systems and third-party platforms • Design and implement channel integrations across chat, voice, and web surfaces, including real-time messaging, webhook pipelines, and event-driven patterns • Design efficient database schemas and optimize performance across relational and NoSQL systems • Drive backend performance, scalability, and reliability, and own implementation of security best practices including authentication and authorization • Lead monitoring, observability, and reliability practices across production systems • Lead the design and integration of AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace

• Design, develop, test, and deploy scalable, secure, and highly interactive web applications • Own and evolve core platform modules, from concept through release and support • Influence application and system architecture with a focus on performance, reliability, security, and maintainability • Lead by example through clean, well-tested code, thoughtful design reviews, and pragmatic technical decisions • Collaborate closely with Product Management, QA, and other engineers throughout the SDLC • Provide technical mentorship and guidance to other engineers on the team • Diagnose and resolve complex production issues across distributed systems • Ensure solutions meet eClinical Solutions quality standards and applicable industry regulations • Contribute to technical documentation including design specs, acceptance criteria, and release notes.