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Ignite IT -  Innovation & Technology

Full Stack Developer, Python, Java, Docker, Kubernetes

Ignite IT - Innovation & Technology

Developer creating optimization algorithms for the US Census Bureau's operations. Responsible for enhancing routing and scheduling efficiency for national surveys.

Posted 7/2/2026full-timeRemote • Maryland • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
JavaPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 5+ years’ experience designing and implementing routing, scheduling, or optimization systems
  • Strong algorithmic background including graph theory, clustering, and heuristic/approximation techniques
  • Proficiency in Python or Java for building optimization services and supporting tooling
  • Experience developing scalable, high-performance services integrated with enterprise control systems (e.g., Mojo)
  • Demonstrated ability to design test harnesses validating both solution correctness and optimization quality
  • Experience implementing performance tuning, parallel processing, and large dataset handling
  • Familiarity with REST APIs, data pipelines, and system integration patterns
  • Experience instrumenting systems with logging, metrics, and monitoring for operational visibility
  • Ability to document algorithms, constraints, and operational procedures and collaborate across engineering and operations teams

Benefits

Comp & perks
  • 401(k) with matching and 100% Vested
  • Health Insurance - 3 plans to select from
  • Dental insurance
  • Vision Insurance
  • Health savings account
  • Life insurance
  • Short Term Disability
  • Long Term Disability
  • AD&D
  • Paid time off
  • Professional development assistance
  • Training
  • Tuition reimbursement
  • Flexible schedule
  • Flexible spending account
  • Referral program
  • Paid Legal Plan
  • and more....

ATS Keywords

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Hard Skills & Tools
Vehicle Routing AlgorithmsClustering AlgorithmsGraph TheoryHeuristic TechniquesData Preprocessing PipelinesAutomated Test HarnessesSolution Quality MetricsBatch and Real-Time OptimizationModular Strategy InterfacesRegression Benchmarking
Soft Skills
CollaborationDocumentation