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

Ignite IT
CompanyIgnite IT
CategoryEngineering
LocationSuitland
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted2 Jul 2026
Last verified1 Aug 2026
SourceEmployer career page (workable)
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Description
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  Requirements 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 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.... Ignite IT is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, Veteran status, sexual orientation, or other protected characteristic. In accordance with EO 13665 Final Rule, Ignite IT will not discharge or in any other manner discriminate against employees or applicants because they have inquired about
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Full Stack Developer (Python, Java, Docker, Kubernetes) — Ignite IT · Job Opportunities API