Software Developer, Operations Research

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

 

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, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

 

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. 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 - HybridOther Canadian locations - Remote

About the team

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

Every day, we are empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform Maestro ensures that the products we need – 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. Our customers have terabytes of data that needs to be analyzed for the largest supply chains imaginable. Our algorithms move the global economy-- in seconds, not hours, or days. It’s Big Data with an impact Gartner Report

Vacancy Status

This is an existing job vacancy

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

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

 

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

What we are looking for

• MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related)• 3+ 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 code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation.• Nice to have knowledge in machine learning models and algorithms• Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S