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Kinaxis

Senior Algorithm Developer –Supply Chain Production Scheduling

Ottawa, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Mar 1, 2027
Experience: 5+ years of algorithm development experience in a production environment
Posting language: English
Posted: Nov 13, 2026

Original 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.

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 - Hybrid

Other locations - Remote

About The Team

Production Scheduling is the process of arranging, controlling, and optimizing work and workloads in a manufacturing environment. Kinaxis Enterprise Scheduling unifies production planning and detailed scheduling on a single, concurrent platform - allowing planners and schedulers to immediately understand the impact of demand and supply changes, from long-term plans down to the shop floor schedule.

The Enterprise Scheduling team builds and scales an enterprise-grade scheduling application with the flexibility of a site-level scheduler. We focus on developing fast, scalable algorithms , applying heuristic and optimization techniques where they deliver the most value , and ensuring our solutions are configurable, extensible, and production-ready. Our challenges are complex, our data is large, and our customers rely on us to deliver correctness, performance, and explainability at scale.

Salary Range

Annual cash compensation ranges from $102,000 to $150,000, plus a discretionary 10% company bonus. The final offer within this range will reflect the successful candidate’s skills and experience.

Vacancy Status

This is an existing job vacancy

What you will do

As a Senior Algorithm Developer, you will contribute across the full lifecycle of algorithm backed product development , working at the intersection of real-world scheduling problems and enterprise software delivery. You will:
Design, implement, and test production scheduling models, constraints, heuristics, and meta heuristics
Translate real-world manufacturing and scheduling constraints into robust computational and mathematical models
Investigate and apply advanced scheduling techniques , including targeted use of AI/ML where appropriate
Lead or contribute to the design, implementation, and evolution of core scheduling logic in a commercial, enterprise-grade product
Define and contribute to test strategies , including unit, integration, regression, and performance testing, to ensure correctness and scalability
Collaborate closely with agile team members across engineering, product, QA, and support throughout design, implementation, and delivery
Participate actively in design discussions, code reviews, and scrum rituals , helping maintain a high bar for quality and maintainability
Support product stability by triaging defects, explaining product behaviour , suggesting workarounds, and fixing and validating moderate issues
Identify opportunities to improve and accelerate the SDLC through better tooling, automation, or AI- assisted workflows, while maintaining architectural consistency, secure design, and code quality
Review AI-generated code with rigor, ensuring correctness, architectural fit, integration safety, and edge-case coverage

What we are looking for

Deep knowledge of production scheduling algorithms , optimization techniques, and/or heuristics
Strong software engineering skills with experience delivering enterprise-grade commercial software
5+ years of algorithm development experience in a production environment
Proficiency in Java, C++, C#, or similar object-oriented languages , including unit testing and design patterns
Experience translating real-world planning or scheduling problems into computational or mathematical models
A passion for algorithms, data structures, and problem solving , with a desire to see solutions used in the real world
Ability to design and contribute to automated testing for functional correctness and performance
Comfort working across the full SDLC , from design through delivery and ongoing support
Strong communication skills, with the ability to explain complex behaviour clearly to both technical and non-technical stakeholders
Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Computer Science , or a related field

Nice to Have

Background or understanding of supply chain management or manufacturing domains
Exposure to automation and infrastructure that supports reliable development, testing, performance validation, and production support
Familiarity with commercial solvers (e.g., Gurobi, CPLEX, Xpress)
Exposure to machine learning or AI techniques applied in optimization or planning contexts

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 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. 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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, implement, and test production scheduling models, constraints, heuristics, and core scheduling logic for an enterprise software product. Collaborate across engineering, product, QA, and support to ensure correctness, performance, product stability, and continuous improvement throughout the software development lifecycle.

Requirements

Requires at least five years of production algorithm development experience, strong knowledge of production scheduling and optimization, and proficiency in an object-oriented language such as Java, C++, or C#. Candidates should have experience modeling real-world planning problems, automated testing, and full-lifecycle software delivery, plus a bachelor's or master's degree in a related field.

Skills

Production Scheduling Algorithms
Optimization Techniques
Heuristics and Metaheuristics
Algorithm Development
Java
C++
C#
Object-Oriented Programming
Mathematical Modeling
Automated Testing
Performance Testing
Enterprise Software Development
Supply Chain Planning
Manufacturing Scheduling
Machine Learning
Agile Development

Benefits

Flexible Vacation
Company-Wide Days Off
Flexible Work Options
Physical and Mental Well-Being Programs
Virtual Fitness Classes
Mentorship Programs
Training and Career Development
Recognition Programs
Referral Rewards
Hackathons

Visa sponsorship

Not detected in the job text

Keywords

Production Scheduling
Supply Chain Orchestration
Enterprise Scheduling
Scheduling Algorithms
Optimization
Heuristics
Metaheuristics
Artificial Intelligence
Machine Learning
Java
C++
C#
Object-Oriented Programming
Mathematical Modeling
Manufacturing
Planning
Commercial Solvers
Gurobi
CPLEX
Xpress
Unit Testing
Integration Testing
Regression Testing
Performance Testing
Agile
Enterprise Software
Automation
Infrastructure
Industrial Engineering

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Jobs in Canada