Senior Algorithm Developer – Production Scheduling, Saas Supply Chain Platform

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

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

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