Senior Algorithm Developer – Supply Chain Production Scheduling

Job not on LinkedIn

🔥 58 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔗 Supply Chain

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• 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 • Collaborate with engineering, product, QA, and support teams throughout design, implementation, and delivery • Participate in design discussions, code reviews, and scrum rituals • Triage defects, explain product behaviour, suggest workarounds, and fix and validate moderate issues • Improve the software development lifecycle through tooling, automation, or AI-assisted workflows while maintaining architectural consistency, secure design, and code quality • Review AI-generated code for 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 • Passion for algorithms, data structures, and problem solving • 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 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 • Nice to have: exposure to automation and infrastructure supporting reliable development, testing, performance validation, and production support • Nice to have: familiarity with commercial solvers such as Gurobi, CPLEX, or Xpress • Nice to have: exposure to machine learning or AI techniques applied in optimization or planning contexts

🏖️ Benefits

• 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