Senior Algorithm Developer – Production Scheduling, Saas Supply Chain Platform

Kinaxis

Senior Algorithm Developer working on production scheduling models and AI-infused optimization while contributing to enterprise-grade software. Focused on enhancing scheduling logic and ensuring product correctness.

Posted 6/30/2026full-timeOttawa • 🇨🇦 CanadaSenior💰 CA$102,000 - CA$150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in production scheduling algorithms and optimization techniques, with a strong foundation in software engineering and experience in delivering enterprise-grade solutions. Proficient in translating complex scheduling problems into computational models while ensuring high-quality testing and collaboration across teams.

Highest-signal resume keywords

Production Scheduling AlgorithmsSoftware Engineering SkillsAlgorithm Development ExperienceProficiency in Java, C++, C#Automated Testing Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Production Scheduling AlgorithmsOptimization TechniquesHeuristicsAlgorithm DevelopmentUnit TestingDesign PatternsComputational ModelsData StructuresAI/ML TechniquesSDLC

Soft Skills

Strong Communication SkillsProblem Solving

Certifications & Qualifications

Bachelor’s Degree in Industrial EngineeringMaster’s Degree in Operations ResearchBachelor’s Degree in Computer Science

Industry Keywords

Enterprise-Grade SoftwareAgile MethodologyScrumTest StrategiesCode Reviews

Tech Stack

Tools & technologies

JavaSDLC

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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