Algorithm Developer 2, Scheduling

Location CA-Remote
ID 2025-33109
Category
Engineering
Position Type
Full-Time
Remote
Yes

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About Kinaxis  

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.  

 

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.   

 

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, 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. 

Location

 

our office in Toronto, Canada 

About the team

Production Scheduling is the process of arranging, controlling, and optimizing work and workloads in a production or manufacturing process. Kinaxis Enterprise Scheduling unifies production planning and scheduling activities on a single, concurrent platform, allowing planners and schedulers to immediately see the impact of demand and supply changes, from forecast all the way down to the shopfloor schedule.
The Enterprise Scheduling team is focused on building and scaling an enterprise level scheduling application with the flexibility of a site-level scheduler. We have a focus on developing fast, scalable scheduling algorithms and applying deeper schedule optimization techniques in a targeting fashion. The team has a passion for solving complex scheduling problems and building highly scalable, configurable, and extensible applications.

What you will do

  • Under the guidance of senior developers, design, implement and test novel Production
  • Scheduling models, constraints, heuristics, and meta-heuristics
  • Translate real world Production Scheduling use cases and constraints into computational models
  • Explore novel scheduling techniques including new meta-heuristics and AI/ML techniques
  • Collaborate closely with agile team members to support the design or testing of scheduling algorithms, implementation and testing of new features
  • Engage actively in our scrum rituals, contribute to design discussions, and partake in code review sessions
  • Support the team by logging defects, providing explanations for product behaviour, suggesting workarounds to customer support, and fix and test moderate defects

Technologies we use

  • Java for core algorithm development
  • Typescript and potentially other languages as we explore new technologies
  • IntelliJ, JIRA, Confluence, Git, CoPilot
  • State of the art in-memory database and analytics technology
     

What we are looking for

  • Deep knowledge of production scheduling algorithms and techniques using optimization and/or heuristics
  • A love of algorithms and problem solving, and the desire to apply them in the real world
  • Excellent software engineering skills
  • 4+ years of algorithm development experience working in an enterprise grade software application
  • Bachelor’s or Master’s degree in industrial engineering, Operations Research, Computer Science (or related)
  • Proficiency with Java, C# or similar language,￿including object-oriented design, unit testing
  • Professional communication with the ability to present information and demonstrate knowledge within direct and indirect team
  • Background in, or understanding of, supply chain management a nice to have
  • Experience working under agile methodologies such as Scrum a nice to have

 

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. 

 

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Yamaha, P&G, Honda, and more. 

 

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

 

  • Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs and training and career development
  • Recognition programs and referral rewards
  • Hackathons

 

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

 

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