Senior Software Developer, Operations Research

About the role

Elevate your career journey by joining Kinaxis. We are a global organization dedicated to powering the world's supply chains and enriching the human experience. As one of Canada’s Top Employers, we collaborate with our customers to solve complex supply chain challenges.

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 testing, integration testing, and debugging 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 your agile team members and other stakeholders
• Shape the future direction of Kinaxis as we move into new markets
• Find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standards
• Review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation

Requirements

• Core implementation primarily in C++, but proficiency in one or more modern programming languages (e.g., C++, C#, Python)
• MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related)
• 7+ years of software development experience, track record of delivering commercial software
• Working knowledge of C++, including object-oriented design and design patterns, unit testing
• Experience in creating mathematical models of real-world optimization problems
• Experience in commercial solvers (Gurobi, Xpress, CPLEX)
• Ability to design, develop, and maintain automated test scripts for functional, regression, and 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

Qualifications

• Nice to have: knowledge in machine learning models and algorithms

Skills

• Core implementation primarily in C++, but proficiency in one or more modern programming languages (e.g., C++, C#, Python)
• Strong algorithmic thinking
• Experience in creating mathematical models of real-world optimization problems
• Experience in commercial solvers (Gurobi, Xpress, CPLEX)
• Ability to design, develop, and maintain automated test scripts for functional, regression, and 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

Benefits

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons

Pay

Competitive salary and benefits package

Schedule

Hybrid schedule with remote options available

Contact Information

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 recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses. 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.