Senior Algorithm Developer – Production Scheduling; Saas Supply Chain Platform

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!

Ottawa and Toronto, Canada
- Hybrid

Other Canadian locations
- Remote

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.

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.

This is an existing job vacancy

• 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

• 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,…