What you will do:
- Design, develop, and maintain core infrastructure supporting optimization engines and planning workflows.
- Improve scalability, reliability, and performance of distributed optimization workloads.
- Build reusable infrastructure components for model execution, data handling, and solver integration.
Performance & Optimization:
- Analyze performance bottlenecks in optimization pipelines and underlying systems.
- Optimize compute, memory usage, and data flow for large-scale planning problems.
- Support solver integration and tuning for various optimization approaches.
System Architecture:
- Contribute to evolving platform architecture and hardware strategy.
- Design systems that support large datasets, parallel execution, and incremental solving.
- Ensure systems meet enterprise-grade reliability and maintainability standards.
Qualifications & Culture:
- Requires a B.Sc or higher in Computer Science, Engineering, or a related field with 5+ years of cloud and infrastructure experience.
- The role works at the intersection of systems engineering and optimization to enable advanced supply chain capabilities.
- The company emphasizes social responsibility, including DEI initiatives, sustainability, and community support.
Kinaxis
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-powered platform for end-to-end supply chain transparency and faster decision-making. The company has over 2000 employees globally, is a multi-time Top Employer award winner, and fosters a culture of innovation with a serious focus on technology, customers, and a collaborative, not-too-serious internal environment.