Senior Algorithm Developer – Production Scheduling (Supply Chain)

Kinaxis; Montreal (administrative region); On-site; CAD 138,927 - 204,304; Full time

Job summary

Kinaxis is seeking a Senior Algorithm Developer in Canada, preferably in a hybrid work model. The role involves contributing to algorithm-backed product development, designing production scheduling models, and ensuring software quality through robust testing. Candidates should have strong skills in Java, C++, or C#, along with deep knowledge of scheduling algorithms and over 5 years in algorithm development. Competitive salary and benefits offered, including a 10% discretionary bonus.

Qualifications

• Deep knowledge of production scheduling algorithms, optimization techniques, and/or heuristics.
• 5+ years of algorithm development experience in a production environment.
• Strong communication skills to explain complex behaviours.

Responsibilities

• Contribute across the full lifecycle of algorithm‑backed product development.
• Design and implement production scheduling models, constraints, heuristics.
• Participate actively in design discussions and code reviews.

Skills

Production scheduling algorithms

Optimization techniques

Java

C++

C#

Education

Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Computer Science

Tools

Gurobi

CPLEX

Xpress

Job description

Location

Ottawa and Toronto, Canada - Hybrid

Other Canadian locations - Remote

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.

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.
• 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.