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 reliable 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!

Location Ottawa and Toronto, Canada - Hybrid

Other Canadian 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 acommercial, 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:

Adaptable 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.

We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities.

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.

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📌 Senior Algorithm Developer – Production Scheduling (Saas Supply Chain Platform) (Montreal)
🏢 Kinaxis
📍 Montreal