• Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments • Develop distributed services that handle real-time and recorded sensor and media data at scale • Shape system architectures to support mission-critical performance, reliability, and operational resilience • Design data models and storage strategies that ensure integrity, performance, and efficient retrieval • Integrate internal services and external partner systems to support end-to-end workflows • Create intuitive operator-focused user interfaces and mission-support tooling • Implement testing, monitoring, deployment, and observability practices to ensure stable and supportable systems • Deploy and validate software on edge computing devices under lab environments and during field exercises • Collaborate closely with other engineers, data teams, and field personnel to deliver production-ready autonomous system capabilities

• Design and development of both client-side and server-side applications. Architect, build, and maintain secure, scalable backend services and APIs. • Take ownership of end-to-end solutions, from the front-end (Angular) to the back end (Java, Node.js), ensuring seamless integration across the stack. • Conduct code reviews and foster a culture of learning, collaboration, and technical excellence within the team. • Work closely with product managers, UX/UI designers, and other stakeholders to define technical requirements, estimate efforts, and collaborate to build intuitive, user-friendly interfaces. • Work with cross-functional teams to ensure timely delivery of high-quality, scalable products and solutions. • Ability to debug and troubleshoot product support issues • Ability to operate effectively in a fully remote environment

• Design and implement infrastructure systems that scale reliably and securely • Tune and optimize cloud services across compute, storage, networking, and observability • Develop core services, written in TypeScript, Kotlin and Go • Support large-scale systems with event driven architectures • Own problems end-to-end—from design through deployment to production support • Navigate ambiguity and help define *how* we build as much as *what* we build • Partner closely with other engineers, AI researchers and Security researchers • Design for resilience by implementing disaster recovery and business continuity strategies • Improve how we build, deploy, and monitor services at scale

• Building or improving features within the DrChrono EHR and Practice Management platform. • Developing backend services or APIs that power clinical and operational workflows. • Improving performance, reliability, or observability of existing systems. • Implementing UI improvements in collaboration with product and design. • Writing automated tests and contributing to CI/CD pipelines. • Working with engineers to troubleshoot production issues and improve system resilience. • Sprint planning and backlog refinement. • Code reviews. • Technical design discussions. • Demoing completed work to the team.