QA Tester | Req#4624

ActioNet, Inc.; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Life and AD&D Insurance

401(k) Savings Plan

Education and Professional Training

Flexible Spending Accounts (FSA)

Paid Time Off (PTO)

Job summary

ActioNet, Inc. is seeking an experienced Optimization Engineer to design and enhance intelligent routing solutions to improve field operations. The role requires strong skills in algorithms and optimization techniques, with responsibilities including developing vehicle routing algorithms and integrating optimized solutions with enterprise systems.

The ideal candidate will have a solid background in Python or Java, with over 5 years of experience in optimization systems. ActioNet offers a diverse workplace with comprehensive benefits.

Qualifications

• 5+ years of 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 tools.

Responsibilities

• Design and implement vehicle routing and scheduling algorithms using OR-Tools.
• Develop clustering algorithms to minimize travel time and costs.
• Integrate the optimizer with control system APIs.

Skills

Graph theory

Clustering

Heuristic optimization

Python

Java

Job description

ActioNet is experienced Optimization Engineer / Algorithm Engineer to design, develop, and enhance intelligent routing and scheduling solutions that improve field operations through advanced optimization techniques. This role will focus on building vehicle routing algorithms using OR-Tools, developing clustering and constraint-based models, and integrating optimization services with enterprise control systems through APIs. The ideal candidate will have a strong background in algorithms, graph theory, heuristic optimization, and scalable software development using Python or Java. Responsibilities include developing real-time and batch optimization capabilities, creating performance benchmarks, implementing automated testing frameworks, and tuning solutions for accuracy, efficiency, and scalability. The candidate will collaborate across engineering and operations teams to document, support, and continuously improve optimization services deployed in production environments.

Responsibilities

• 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 and cost.
• Implement constraint models, including capacity, time windows, skills, priorities, and 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 to support 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, including distance, balance, SLA adherence, and cost, to evaluate route effectiveness.
• Create regression benchmarks comparing new algorithm performance against baseline outputs.
• Add parallel processing and scaling capabilities to support 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.

Qualifications

• 5+ years of 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 tools.
• Experience developing scalable, high-performance services integrated with enterprise control systems.
• Demonstrated ability to design test harnesses validating 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 while collaborating across engineering and operations teams.

Equal Opportunity Employment

ActioNet is an equal-opportunity employer and values inclusion at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Benefits

• Medical Insurance
• Vision Insurance
• Life and AD&D Insurance
• 401(k) Savings Plan
• Education and Professional Training
• Flexible Spending Accounts (FSA)
• Employee Referral and Merit Recognition Programs
• Employee Assistance and Identity Theft Protection
• Paid Holidays: 11 per year
• Paid Time Off (PTO)
• Disability Insurance