NICE TO HAVE

• Experience with workflows (e.g. Argo workflows)
• Supply chain domain knowledge
• Retail and CPG business domain knowledge
• SaaS, multi-tenant and AI/ML platforms development experience (microservice frameworks, queuing systems, event-based processing and web services).
• Experience of distributed computing architectures (e.g Spark, Hive)
  Why join Kinaxis?:
  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.

We’re looking for a Senior Software Developer, who thrives at the intersection of machine learning and software engineering—someone who sees AI not as a layer, but as a first-class system component.

• You’ll contribute across the full development lifecycle, from idea to deployment and beyond. Whether it’s building intelligent forecasting systems, optimizing global replenishment models, or integrating explainable AI into user-facing workflows, you’ll solve critical problems that touch millions of lives.
• This isn’t just about calling ML APIs. It’s about building AI products end-to-end, at scale, with all the real-world messiness and architectural complexity that entails.
• Own complex AI features from design to delivery, collaborating across product, data science, and engineering teams.
• Build scalable ML pipelines that operate on massive, fast-moving data streams.
• Implement and optimize models for forecasting, classification, recommendation, NLP, and decision optimization.
• Contribute to architectural decisions, from microservice design to orchestration in Kubernetes.
• Drive code quality through code reviews, unit tests, and CI/CD practices—you’re a quality champion, notjust a code generator.
• Set up new development tools and infrastructure (Docker, Kubernetes, cloud services) to streamline processes.
• Mentor and learn alongside passionate teammates in a high-trust, high-impact environment.
• Stay current with best practices in AI/ML and software architecture—and help shape what “great” lookslike at Kinaxis.
• Log and eliminate complex or subtle bugs in the product to ensure we deliver a great quality product.