Senior Software Developer, Scheduling

Kinaxis Inc.

4d • Hybrid

About The Position

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.

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.

Requirements

• 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 Haves

• 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

Responsibilities

• 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

Benefits

• Annual cash compensation ranges from $102,000 to $150,000, plus a discretionary 10% company bonus.
• Flexible 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior