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Senior Algorithm Developer – Production Scheduling (Saas Supply Chain Platform)

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Senior Algorithm Developer – Production Scheduling (Saas Supply Chain Platform)

Kinaxis

Senior Algorithm Developer – Production Scheduling (Saas Supply Chain Platform)

Skills

JavaC#Testing & QAMachine LearningAISupply Chain ManagementSupply Chain

6 months ago

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Important information


Contract type:

Permanent

Location:

Canada

Work mode:

Hybrid

Published on:

7 August 2026

What they need


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 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 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

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