Senior Infrastructure Developer, Optimization Software

Kinaxis Inc.•Remote,

1d•Hybrid

About The Position

We are looking for an Infrastructure Developer to join the Supply Chain Optimization team. This role focuses on building and evolving the core infrastructure that supports large-scale optimization and planning systems. You will enable high-performance execution of complex optimization models, improve system scalability, and ensure robustness across distributed environments. This position sits at the intersection of systems engineering, platform infrastructure and Optimization (OR), and plays a critical role in enabling advanced capabilities that the Supply Chain Optimization Team are developing. Every day, we are empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform Maestro ensures that the products we need – everything from medicine and cars to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint. Our customers have terabytes of data that needs to be analyzed for the largest supply chains imaginable. Our algorithms move the global economy-- in seconds, not hours, or days. It’s Big Data with an impact.

Requirements

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 Haves

Nice to have experience in commercial solvers (Gurobi, CPLEX,...)
Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)

Responsibilities

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
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)
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