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

1 month, 3 weeks ago
United States
Full-time
Senior
Full-stack Engineer
Software Development
CI/CD Docker Java Kubernetes Python REST API
Apply Now
Ignite IT

Ignite IT

Ignite IT is a start-up company specializing in providing transformative digital solutions to large federal agencies and the private sector. They offer innovative IT services such as enterprise Agile Development & Delivery, business strategy and transf...

IT Services
11-50
View All Jobs 6

Description

  • Design and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignments.
  • Develop clustering algorithms to group workloads geographically and reduce travel time and cost.
  • Implement constraint models for capacity, time windows, skills, priorities, and survey rules within the optimizer.
  • Integrate optimization services with Mojo control system APIs for job intake, execution, and results publishing.
  • Build both batch and real-time optimization modes for 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 to validate solution correctness against known datasets and constraints.
  • Implement solution quality scoring metrics to evaluate route distance, balance, SLA adherence, and cost.
  • Create regression benchmarks to compare algorithm performance against baseline outputs.
  • Add parallel processing and scaling support for 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 configurations.
  • Document routing logic, constraints, integration points, and operational runbooks.
  • Provide production support, tuning, and continuous improvement of optimization heuristics and performance.

Requirements

  • 5+ years of experience designing and implementing routing, scheduling, or optimization systems.
  • Strong algorithmic background including graph theory, clustering, and heuristic or 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 such as Mojo.
  • Demonstrated ability to design test harnesses that validate 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.
  • US citizenship required.
  • Applicants selected may be required to possess and maintain a government clearance.

Benefits

  • 401(k) with matching and 100% vested.
  • Health insurance with 3 plans to choose from.
  • Dental insurance.
  • Vision insurance.
  • Health savings account.
  • Life insurance, short-term disability, long-term disability, and AD&D coverage.
  • Paid time off.
  • Professional development assistance, training, and tuition reimbursement.
  • Flexible schedule.
  • Flexible spending account.
  • Referral program.
  • Paid legal plan.

Interested in this position?

Apply directly on the company website

Apply Now

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