• Design and develop scalable, high-quality frontend applications. • Contribute across the stack to deliver end-to-end solutions. • Collaborate with cross-functional teams to translate requirements into technical implementations. • Build and integrate backend services and APIs. • Ensure stability & phased feature rollout.

• Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale. • Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives. • Tackle the most ambiguous and far reaching technical and product problems, shaping what the company builds as much as how it builds it. • Remain deeply hands on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest. • Influence and align roadmaps across organizations, resolving structural bottlenecks and changing how Dropbox builds and operates. • Architect and evolve foundational systems and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users. • Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment. • Drive AI adoption both to increase productivity and to produce AI based features.

• Build and maintain data-driven React applications using a python backend, embedded BI solutions (Sigma), and AI-enabled services as appropriate • Develop web interfaces and tools that consume and display data from the enterprise data warehouse and AI-backed APIs • Implement and integrate BI tools, embedded analytics, and AI-assisted workflows (e.g., natural language querying, summarization, recommendations) • Integrate with AI platforms, SDKs, and Model Context Protocol (MCP) servers to incorporate LLM-backed functionality into applications in a secure and reliable manner • Work with structured and semi-structured data to deliver performant, reliable data and AI-driven solutions • Build data models in a Snowflake data warehouse as needed • Partner with Data Engineering and Product teams to support workflows across commercial data applications, clinical operations, lab logistics, commercial analytics, and AI-enabled use cases • Apply best practices in code quality, testing, performance optimization, secure design, and responsible AI usage • Contribute ideas to improve usability, scalability, and maintainability of internal applications, including human-in-the-loop AI interactions • Collaborate effectively in a cross-functional, remote-first environment • Use infrastructure-as-code (Terraform) to provision and manage cloud environments, including AI-related services • Develop and deploy applications within containerized environments (Docker, Kubernetes), including services supporting AI inference and orchestration

• Design, implement, and maintain analytical models within our M&S capability called RAPTR. • Perform testing and validation of models and code to ensure accurate outputs. • Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action. • Participate in client meetings to understand requirements and to brief your technical findings and analyses. • Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations. • Implement monitoring, logging, and alerting to ensure system reliability and availability. • Troubleshoot issues across cloud infrastructure, networks, and simulation workloads. • Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities.