
1001 - 5000 employees
☁️ SaaS
💰 $33M Venture Round on 2000-05
Logistics • SaaS • Supply Chain Management
Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.
🔥 4 minutes ago
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1001 - 5000 employees
☁️ SaaS
💰 $33M Venture Round on 2000-05
Logistics • SaaS • Supply Chain Management
Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.
• 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 • 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 (e.g., Optimization approaches) • Contribute to evolving platform architecture and hardware • Design systems that support large datasets, parallel execution, and incremental solving • Ensure systems meet enterprise-grade reliability and maintainability standards
• B.Sc or more in Computer Science, Engineering or related field. • 5+ years of experience working with various cloud resources and deployments. • Public cloud experience (Azure and/or GCP; AWS is a plus), using console and APIs • Hands-on experience operating Kubernetes (AKS and/or GKE) • CI/CD and/or GitOps experience (pipelines, GitHub Actions) • Experience with Docker • Comfortable working with logging and observability platforms • Ability to design, develop, and maintain automated test scripts for performance testing using testing frameworks and tools. • Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standards. • Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation. • Nice to have experience in commercial solvers (Gurobi, CPLEX,...) • Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)
• Flexible vacation and Kinaxis Days (company-wide days off) • Flexible work options • Physical and mental well-being programs • Regularly scheduled virtual fitness classes • Mentorship programs, training, and career development • Recognition programs and referral rewards • Hackathons
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