Overview Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. Our AI‑infused platform provides full transparency and visibility across end‑to‑end supply chains, enabling customers to make faster, better decisions. With more than 40,000 users in over 100 countries, we continue to innovate and revolutionize how we support our customers. Location Ottawa and Toronto, Canada – Hybrid. Other Canadian locations – Remote. Responsibilities Investigate novel techniques combining class‑leading heuristics with optimization. Translate real‑world Supply Chain Management use cases into mathematical models. Lead the design and implementation of the mathematical model. Define test strategies and develop comprehensive test plans. Write unit, integration, and debugging code to ensure robust and error‑free software. Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools. Collaborate closely with agile team members and other stakeholders. Shape the future direction of Kinaxis as we move into new markets. Technologies C++ for core development. Commercial mathematical solvers. Maestro’s market‑leading in‑memory data server technology. Visual Studio, JIRA, Confluence, Git. Sophisticated internal testing tools to validate correctness and performance. Virtual and cloud infrastructure for development, support, and testing. Qualifications MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related). 3+ years of software development experience with a track record of delivering commercial software. Working knowledge of C++, including object‑oriented design, design patterns, and unit testing. Love of data structures and algorithms, and desire to apply them in the real world. Experience in creating mathematical models of real‑world optimization problems. Experience with commercial solvers (Gurobi, Xpress, CPLEX). Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing. Ability 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: knowledge of machine learning models and algorithms. Nice to have: knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning). Benefits 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. Equal Opportunity & Accessibility Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at This contact information is for accessibility requests only and cannot be used to inquire about the status of applications. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions. #J-18808-Ljbffr