Full Stack Developer (Python, Java, Docker, Kubernetes)
Ignite IT · TELECOMMUTE · Posted Jul 2, 2026
Apply on company site Track it in JobSkout
As 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 & Support
Design and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignments
Develop clustering algorithms to group workloads geographically and minimize travel time/cost
Implement constraint models (capacity, time windows, skills, priorities, survey rules) within the optimizer
Integrate the optimizer with the Mojo control system APIs for job intake, execution, and results publishing
Build batch and real-time optimization modes to support both scheduled and on-demand routing
Refactor optimizer components into modular, extensible strategy interfaces for new routing heuristics
Implement data preprocessing pipelines to normalize locations, distances, and travel matrices
Develop automated test harnesses validating solution correctness against known datasets and constraints
Implement “solution quality” scoring metrics (distance, balance, SLA adherence, cost) to evaluate goodness of routes
Create regression benchmarks comparing new algorithm performance vs. baseline outputs
Add parallel processing and scaling support to handle large route sets and high agent counts
Instrument services with logging and metrics to track runtime, solver performance, and solution quality
Package optimizer services for CI/CD deployment with reproducible builds and environment configs
Document routing logic, constraints, integration points, and operational runbooks
Provide production support, tuning, and continuous improvement of optimization heuristics and performance