Senior Algorithm Developer – Production Scheduling (Supply Chain)

Kinaxis Inc.; Halifax; Híbrido; CAD 139.745 - 205.507; Jornada completa

Descripción de la vacante

Kinaxis in Canada is looking for a Senior Algorithm Developer to contribute to developing algorithm-backed products. Responsibilities include designing and implementing production scheduling models and collaborating across teams. Candidates should have expertise in production scheduling, optimization techniques, and 5+ years of algorithm development experience in a production environment, with a degree in relevant fields. The salary ranges from $102,000 to $150,000 annually, plus a discretionary 10% bonus.

Formación

• 5+ years of algorithm development experience in a production environment.
• Deep knowledge of production scheduling algorithms, optimization techniques, and/or heuristics.
• Strong software engineering skills with experience delivering enterprise-grade commercial software.

Responsabilidades

• Contribute across the full lifecycle of algorithm-backed product development.
• Design, implement, and test production scheduling models.
• Collaborate closely with agile team members across engineering, product, QA, and support.

Conocimientos

Production scheduling algorithms

Optimization techniques

Software engineering

Java

C++

C#

Problem solving

Automated testing

Communication

Educación

Bachelor's or Master's degree in Industrial Engineering, Operations Research, Computer Science or related field

Herramientas

Gurobi

CPLEX

Xpress

Descripción del empleo

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.