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

Role

Your Role: Optimizer Design, Development & Support

Design and Development

• 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
• Develop data preprocessing pipelines to normalize locations, distances, and travel matrices
• Create 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
• 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
• Packager 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
• Ability to instrument 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&P
• Paid time off
• Professional development assistance
• Training
• Tuition reimbursement
• Flexible schedule
• Flexible spending account
• Referral program
• Paid Legal Plan
• and more...