Lead full-stack design and development of the Geofencer React/TypeScript application and Python backend services.
Own geospatial workflows including versioned geofence editing, road-network annotation, drivable-area computation, connectivity validation, and Plan of Record releases.
Integrate with the Zoox Road Network, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows.
Operate production infrastructure, including builds, containerized deployment, observability, and CI/CD.
Create scripts and tools for data migrations, bulk annotation operations, and metrics generation.
Drive alignment with operations, mapping, and autonomy stakeholders and translate operational needs into scalable solutions.
Mentor engineers and provide architectural and technical leadership.
Requirements
Bachelor's degree in engineering, mathematics, or a related field.
10+ years of industry experience building and operating production full-stack systems on large codebases.
Strong proficiency with Python backend services, React with TypeScript/JavaScript, relational databases, asynchronous task-queue architectures, and Python or shell scripting.
Experience with Linux, AWS or similar cloud infrastructure, containerized deployment, build systems, version control, testing methodologies, and CI/CD.