QA Tester at actionet-review

Setup: Remote
Type: Full-time

Description

ActioNet is seeking an experienced Optimization Engineer / Algorithm Engineer to design, develop, and enhance intelligent routing and scheduling solutions. The role focuses on building vehicle routing algorithms using OR-Tools, developing clustering and constraint-based models, and integrating optimization services with enterprise control systems via APIs. The ideal candidate will have a strong background in algorithms, graph theory, heuristic optimization, and scalable software development using Python or Java.

Required Skills

Algorithms
Graph Theory
Heuristic Optimization
Scalable Software Development
Python
Java
OR-Tools
Clustering Algorithms
Constraint Models
APIs
Real-time Optimization
Batch Optimization
Automated Testing Frameworks
Performance Benchmarking
Solution Quality Scoring Metrics
Parallel Processing
Scaling Capabilities
Logging and Metrics
CI/CD Deployment
Operational Visibility
Document Algorithms
Constraints
Operational Procedures

Additional Information

Required Previous Experiences: 5+ years of experience designing and implementing routing, scheduling, or optimization systems.
Preferred Qualifications: 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.