Infrastructure Engineer

• AI Platform Engineering: Design, deploy, and operate enterprise AI/ML platforms.
• Build self-service platforms for Data Scientists and ML Engineers.
• Deploy and operate Kubeflow, MLflow, KServe, Ray, or similar AI platforms.
• Design infrastructure supporting model training, experimentation, feature engineering, and inference.
• Build highly available and scalable model serving infrastructure.
• GPU Infrastructure: Design and operate GPU clusters for large-scale AI workloads.
• Optimize GPU scheduling, utilization, sharing, autoscaling, and resource allocation.
• Deploy and manage NVIDIA GPU Operator and GPU-enabled Kubernetes environments.
• Optimize distributed GPU training performance across multi-node clusters.
• Troubleshoot AI infrastructure performance bottlenecks.
• MLOps & Platform Automation: Build CI/CD pipelines for ML workloads.
• Automate AI infrastructure provisioning using Infrastructure as Code.
• Implement monitoring and observability for GPU utilization, model serving, training jobs, and inference latency.
• Collaborate closely with Data Science teams to improve platform usability, performance, and reliability.

AI Infrastructure Engineer III

• Deploy, configure, and manage Kubernetes clusters on Azure, AWS, and Google Cloud Platform.
• Monitor, troubleshoot, and resolve issues related to Kubernetes clusters and containerized applications.
• Implement and manage automated scaling, health checks, and logging for Kubernetes environments.
• Ensure high availability and disaster recovery for Kubernetes clusters in multi-cloud environments.
• Work with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS) and Google Kubernetes Engine (GKE) to design and manage cloud-native infrastructures.
• Optimize cloud infrastructure for performance, cost, and resource efficiency.
• Collaborate with development teams to manage deployments to Kubernetes clusters.
• Configure application and network integrations to customer on-premises and cloud-based services.
• Implement Kubernetes security best practices, including role-based access control (RBAC), network policies, and encryption.
• Ensure compliance with organizational security policies and regulatory requirements within the cloud environment.
• Manage and monitor IAM roles, policies, and permissions on Azure, AWS, GKE platforms.
• Maintain clear and comprehensive documentation of Kubernetes configurations, best practices, and cloud infrastructure.
• Provide regular reports on cluster performance, issues, and resolutions to stakeholders.
• Work with development teams to ensure seamless deployment and operation of applications within the Kubernetes clusters.
• Troubleshoot and resolve Kubernetes-related issues across multiple environments.
• Provide on-call support as required for cloud infrastructure and Kubernetes environments.

Kubernetes Infrastructure Engineer

• Design, deploy, and maintain infrastructure across GCP and AWS, ensuring high availability, scalability, and cost efficiency
• Manage and operate Kubernetes clusters (deployment, scaling, monitoring, troubleshooting) in production environments
• Build and maintain CI/CD pipelines and DevOps automation workflows to support development and release cycles
• Implement Infrastructure as Code (IaC) practices (e.g., Terraform) for provisioning and configuration management across cloud environments
• Manage device and endpoint policies through Microsoft Intune, including compliance policies, configuration profiles, and application deployment
• Monitor infrastructure health, performance, and security across cloud and endpoint layers; respond to incidents and perform root cause analysis
• Support cloud cost optimization, resource governance, and tagging/organization standards across GCP and AWS
• Collaborate with the client's internal IT, security, and DevOps teams to align infrastructure operations with broader organizational policies
• Maintain documentation for infrastructure architecture, runbooks, and operational procedures
• Participate in on-call/operational support rotations as required by the client (clarify with client if applicable)

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AI Infrastructure Engineer III

Kubernetes Infrastructure Engineer

Senior Infrastructure, Multi-Cloud Engineer