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CI&T

DevOps Master, NVIDIA Knowledge

CI&T

Lead design, deployment, and optimization of NVIDIA cuOpt solutions for AI-focused business operations. Collaborate across teams for effective routing and optimization solutions in Colombia.

Posted 7/31/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and implementing GPU-accelerated applications on Microsoft Azure, with a strong focus on NVIDIA cuOpt for routing optimization. Proficient in performance tuning, system architecture, and establishing best practices for cloud-native deployment and GPU computing.

Highest-signal resume keywords
NVIDIA cuOpt ImplementationGPU Computing with CUDAMicrosoft Azure ArchitectureSystem Architecture for Optimization WorkloadsDevOps Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Routing Optimization SolutionsPerformance TuningGPU AccelerationCloud-Native DeploymentCapacity PlanningBenchmarkingInfrastructure AutomationConfiguration ManagementHigh-Performance ComputingResource Utilization
Soft Skills
Technical LeadershipCollaborationProblem-SolvingTroubleshootingCommunication
Tools & Technologies
Microsoft AzureNVIDIA TechnologiesCUDAGPU InfrastructureCI/CD Tools
Industry Keywords
Optimization WorkloadsScalable ArchitecturesResilient SystemsPerformance OptimizationCloud Computing

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Lead the design, deployment, and optimization of NVIDIA cuOpt-based routing and optimization solutions.
  • Architect and implement GPU-accelerated applications and services within Microsoft Azure.
  • Drive performance tuning across GPU infrastructure, including compute, memory, parallelization, and resource utilization.
  • Design scalable, resilient Azure architectures capable of supporting high-volume optimization workloads.
  • Establish benchmarking, monitoring, and capacity planning practices for GPU-based services.
  • Collaborate with Data Science, Engineering, and Platform teams to operationalize routing and optimization solutions.
  • Troubleshoot and resolve performance, scalability, and infrastructure challenges in production environments.
  • Define best practices for GPU acceleration, cloud-native deployment, and cost-efficient scaling strategies.
  • Provide technical leadership and guidance on NVIDIA technologies, CUDA, high-performance computing, and Azure infrastructure.

Requirements

What you’ll need
  • Experience with NVIDIA cuOpt: Implementation of routing optimization solutions using cuOpt.
  • Competence in GPU Computing: Knowledge of CUDA and performance optimization on GPUs.
  • Microsoft Azure Platform: Ability to architect and implement solutions on Azure.
  • System Architecture: Creation of scalable and resilient architectures for optimization workloads.
  • Best Practices in DevOps: Knowledge of CI/CD, infrastructure automation, and configuration management.
  • Advanced English for conversation is a must.

Benefits

Comp & perks
  • Premium Healthcare
  • - Meal voucher
  • - Maternity and Parental leaves
  • - Mobile services subsidy
  • - Sick pay-Life insurance
  • - CI&T University
  • - Colombian Holidays
  • - Paid Vacations