Senior Software Developer, Operations Research

Kinaxis; Southwestern Ontario; Hybrid; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Flexible vacation

Flexible work options

Well-being programs

Fitness classes

Mentorship programs

Hackathons

Job summary

Kinaxis is hiring an Operations Research Software Developer to advance supply chain optimization algorithms. You will translate complex SCM scenarios into mathematical models and lead development of the optimization engine in C++ within a collaborative Agile team.

The role emphasizes testing, performance, and innovating with AI-enabled tooling while expanding into new markets. Hybrid work in Ottawa/Toronto, with remote options for other locations.

Qualifications

• 5+ years of software development experience.
• Experience in creating mathematical models of real-world optimization problems.
• Experience with commercial solvers (Gurobi, Xpress, CPLEX).
• Core implementation is primarily in C++, with proficiency in another modern language.

Responsibilities

• 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 software.
• Design, develop, and maintain automated test scripts for functional, regression, and performance testing.
• Collaborate closely with your agile team members and other stakeholders.
• Shape the future direction of Kinaxis as we move into new markets.

Skills

C++

Python

C#

Algorithms

Data structures

Object-oriented design

Unit testing

AI tooling

Education

MSc or PhD in Operations Research/Industrial Engineering/Computer Science

Tools

Visual Studio

JIRA

Confluence

Git

Gurobi

Xpress

CPLEX

Job description

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.

Location

Ottawa and Toronto, Canada - Hybrid

Other Canadian and USA 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 to market 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.

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

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)
• 5+ 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&OP, Capacity Planning)

#Senior;

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands:

Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis:

Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long‑term net‑zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

• 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

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com .

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.