Location Ottawa and Toronto, Canada - Hybrid
Other Canadian locations - Remote
Vacancy Status This is an existing job vacancy
What you will do Infrastructure & Platform Development
Design, develop, and maintain core infrastructure supporting optimization engines and planning workflows
Improve scalability, reliability, and performance of distributed optimization workloads
Build reusable infrastructure components for model execution, data handling, and solver integration
Performance & Optimization
Analyze performance bottlenecks in optimization pipelines and underlying systems
Optimize compute, memory usage, and data flow for large-scale planning problems
Support solver integration and tuning (e.g., Optimization approaches)
System Architecture
Contribute to evolving platform architecture and hardware
Design systems that support large datasets, parallel execution, and incremental solving
Ensure systems meet enterprise-grade reliability and maintainability standards
What we are looking for
B.Sc or more in Computer Science, Engineering or related field.
5+ years of experience working with various cloud resources and deployments.
Public cloud experience (Azure and/or GCP; AWS is a plus), using console and APIs
Hands‑on experience operating Kubernetes (AKS and/or GKE)
CI/CD and/or GitOps experience (pipelines, GitHub Actions)
Experience with Docker
Comfortable working with logging and observability platforms
Ability to design, develop, and maintain automated test scripts for performance testing using testing frameworks and tools.
Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code‑quality standards.
Ability to review AI‑generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation.
Nice to have experience in commercial solvers (Gurobi, CPLEX,...)
Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)
Benefits People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:
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
#J-18808-Ljbffr
or continue with email
Other Canadian locations - Remote
Vacancy Status This is an existing job vacancy
What you will do Infrastructure & Platform Development
Design, develop, and maintain core infrastructure supporting optimization engines and planning workflows
Improve scalability, reliability, and performance of distributed optimization workloads
Build reusable infrastructure components for model execution, data handling, and solver integration
Performance & Optimization
Analyze performance bottlenecks in optimization pipelines and underlying systems
Optimize compute, memory usage, and data flow for large-scale planning problems
Support solver integration and tuning (e.g., Optimization approaches)
System Architecture
Contribute to evolving platform architecture and hardware
Design systems that support large datasets, parallel execution, and incremental solving
Ensure systems meet enterprise-grade reliability and maintainability standards
What we are looking for
B.Sc or more in Computer Science, Engineering or related field.
5+ years of experience working with various cloud resources and deployments.
Public cloud experience (Azure and/or GCP; AWS is a plus), using console and APIs
Hands‑on experience operating Kubernetes (AKS and/or GKE)
CI/CD and/or GitOps experience (pipelines, GitHub Actions)
Experience with Docker
Comfortable working with logging and observability platforms
Ability to design, develop, and maintain automated test scripts for performance testing using testing frameworks and tools.
Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code‑quality standards.
Ability to review AI‑generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation.
Nice to have experience in commercial solvers (Gurobi, CPLEX,...)
Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)
Benefits People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:
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
#J-18808-Ljbffr
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