Software Development Engineer, Amazon

• Experience in professional, non-internship software development
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Bachelor's degree in computer science or equivalent
• Strong interest in learning economic thinking - you'll be immersed in it daily

Desirable

• As an SDE, you’ll help us build our Factory of Economics, where economists can operate independently and in parallel, unconstrained by tech bottlenecks or engineering bandwidth
• The goal: no software rewrites, predictable time to production, early integration, and fast iteration
• You’ll work with tools such as DBT, Python, Apache Airflow, Spark, Iceberg; AWS services like Lambda, Bedrock, and SageMaker, containers, and whatever adds the most value
• You’ll design tools that are simple, semantic, and scalable. As you gain familiarity with the domain, you’ll help define and lead the technical direction of economic projects
• Build and extend the Factory of Economics: automate and accelerate data pipelines, platforms, and tools, including ML and LLM capabilities, to scale innovative science products
• Collaborate with economists to shape technical project requirements and direction
• Be a technical leader that is not afraid to challenge the norms and innovate
• Continually improve our systems and improve iteration speed, for yourself or others
• Contribute to long-term strategy for data infrastructure, best practices, and operational excellence
• Dive deep into our tools to make well-informed integration and architecture decisions
• AWS resources at our disposal, with no red tape. We invest to add value. Fast
• Zero-ops mindset. We build in a way we can focus on delivery, not maintenance
• No on-call. No phone paging
• Lean and pragmatic: No stand-ups or sprints; we work towards clear, business-aligned quarterly goals
• Greenfield projects and a focus on simple solutions for complex domains