Full Stack Developer (Python, Java, Docker, Kubernetes)

Developer For Us Census BureauAs a developer for the US Census Bureau, you will design, develop, and maintain the highly complex routing and scheduling algorithms that power the Mojo field operations control system. You will architect modular, scalable optimization services capable of handling both massive batch schedules and real-time, on-demand routing. You will ensure maximum operational efficiency and data-driven accuracy for critical national survey workflows.Your Role:Optimizer Design, Development & SupportDesign and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignmentsDevelop clustering algorithms to group workloads geographically and minimize travel time/costImplement constraint models (capacity, time windows, skills, priorities, survey rules) within the optimizerIntegrate the optimizer with the Mojo control system APIs for job intake, execution, and results publishingBuild batch and real-time optimization modes to support both scheduled and on-demand routingRefactor optimizer components into modular, extensible strategy interfaces for new routing heuristicsImplement data preprocessing pipelines to normalize locations, distances, and travel matricesDevelop automated test harnesses validating solution correctness against known datasets and constraintsImplement "solution quality" scoring metrics (distance, balance, SLA adherence, cost) to evaluate goodness of routesCreate regression benchmarks comparing new algorithm performance vs.

baseline outputsAdd parallel processing and scaling support to handle large route sets and high agent countsInstrument services with logging and metrics to track runtime, solver performance, and solution qualityPackage optimizer services for CI/CD deployment with reproducible builds and environment configsDocument routing logic, constraints, integration points, and operational runbooksProvide production support, tuning, and continuous improvement of optimization heuristics and performance