Manager, Solver Infrastructure

Kinaxis

. Lead, mentor, and grow a team of engineers .

Posted 11/11/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates strong technical leadership in software engineering and optimization, with expertise in mathematical optimization platforms and cloud-based systems. Proven ability to mentor teams, drive performance improvements, and collaborate effectively across multiple disciplines.

Highest-signal resume keywords

Technical LeadershipMathematical OptimizationC++ ProgrammingCloud-Based SystemsGPU Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringOptimization SystemsOperations ResearchC++PythonKubernetesDistributed SystemsAI/ML ApplicationsPerformance OptimizationHigh-Performance Computing

Soft Skills

CommunicationCollaborationMentoringCoachingFeedback

Tools & Technologies

GurobiCPLEXXpressGurobi Compute ServerContainers

Industry Keywords

Supply Chain PlanningEnterprise OptimizationSolver IntegrationProduction ReliabilityScalability

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesPythonC++

About the role

Key responsibilities & impact

Lead, mentor, and grow a team of engineers
Create an environment of strong technical execution, collaboration, and continuous development
Set clear expectations and provide feedback and coaching
Support team members' performance and career development
Provide hands-on technical leadership across solver integration, architecture, performance, scalability, and production reliability
Evolve the mathematical optimization platform, including solver interfaces, distributed execution, deployment, monitoring, and diagnostics
Drive solve acceleration through GPU computing, advanced solver technologies, improved hardware utilization, and AI/ML approaches
Improve reliability, observability, and operational readiness of optimization workloads across cloud environments
Collaborate with Operations Research, Product, Architecture, Cloud Services, and technology partners to bring new ideas into production

Requirements

What you’ll need

5+ years of experience in software engineering, platform engineering, or applied optimization
2+ years leading teams
Strong technical background in Operations Research, software engineering, optimization systems, or related computational technologies
Experience with mathematical optimization and commercial solvers such as Gurobi, CPLEX, or Xpress
Strong software engineering fundamentals, ideally with C++ and/or Python experience
Experience building or operating cloud-based and distributed systems, including Kubernetes and containers
Ability to investigate complex performance and reliability challenges across software and infrastructure
Strong communication and collaboration skills
Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, Engineering, Applied Mathematics, or a related field
Experience with GPU computing or GPU-accelerated optimization is nice to have
Experience with Gurobi Compute Server or similar distributed solver infrastructure is nice to have
Experience applying AI/ML to optimization, solver acceleration, tuning, or explainability is nice to have
Experience with high-performance computing or distributed optimization is nice to have
Knowledge of supply chain planning and large-scale enterprise optimization is nice to have

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