Senior Software Developer, Operations Research

About Kinaxis  

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.    

 

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.   

 

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers. 

Location

Ottawa and Toronto, Canada - Hybrid

Other Canadian and USA locations - Remote

Vacancy Status 

This is an existing job vacancy 

About the team

Operations Research Software Developers at Kinaxis create algorithms to optimize supply chains. Each one of usplays an important part in accomplishing our work, building our culture, and making a globalimpact.

Every day, we are empowered to work together to help our customers make fast, confidentplanning decisions. This is how we create a better planet – for each other, for our customersand for generations to come. Our cloud-based platform Maestro ensures that the products weneed – everything from medicine and cars to day-to-day items like toothpaste – make it tomarket and into our hands when we need them with minimal ecological footprint. Ourcustomers have terabytes of data that needs to be analyzed for the largest supply chainsimaginable.

What you will do

• Investigate novel techniques combining class leading heuristics with optimization
• Translate real world Supply Chain Management use cases into mathematical model
• 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.

 

Technologies we use

• 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

What we are looking for

Core implementation is primarily in C++, but we value strong algorithmic thinkers who are proficient in one or more modern programming languages (e.g., C++, C#, Python) and willing to work across language boundaries

• 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
• A love of data structures and algorithms, and the desire to apply them in the real world
• 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 c