Build and maintain scalable backend systems for R&D management: data modeling, API design, cloud deployment, and containerized services. Implement decision-modeling tools, integrate LLM capabilities, and collaborate with small cross-functional teams to deliver reliable production software supporting long-term scientific programs.

Build and maintain Orchestra's cloud platform infrastructure to support sensitive scientific data, AI workloads, and financial modeling. Design scalable, secure systems, CI/CD pipelines, monitoring/alerting, and incident response. Drive developer experience and help achieve SOC 2 compliance while enabling rapid engineering velocity.

Design and implement complex full‑stack features for an R&D management platform. Build intuitive, data‑rich frontends (React/TypeScript), collaborate with product/design, leverage AI/LLMs for insights, and scale frontend architecture to support scientific workflows and cross‑team alignment.