IT Search Corp

Role Description We are seeking a highly skilled AI Infrastructure & Kubernetes Platform Engineer with a proven track record in deploying and managing NVIDIA DGX-based AI clusters, orchestrating containerized AI workloads using Kubernetes, and ensuring secure, high-throughput operations across InfiniBand-powered networks. The ideal candidate will hold a combination of Kubernetes certifications (CKA, CKAD, CKS) and NVIDIA certifications (NCA-AIIO, NCP-AIO, NCP-AII, NCP-AIN), coupled with hands-on training in DGX, BlueField, and high-speed network operations. This position plays a key role in supporting AI/ML infrastructure at scale, enabling efficient training and inference for complex models, and integrating NVIDIA's cutting-edge compute, storage, and fabric solutions with modern DevOps practices. - AI Infrastructure Operations - Deploy and manage NVIDIA DGX BasePODs and SuperPODs for high-performance AI workloads. - Oversee DGX system lifecycle operations including provisioning, monitoring, firmware upgrades, and capacity planning. - Operate Base Command Manager to manage GPU clusters, schedule workloads, and integrate with MLOps tools. - Perform DGX node health validation, NCCL interconnect testing, and NVLink topology verification following new deployments or hardware changes. - Kubernetes Platform Engineering - Architect secure and scalable Kubernetes clusters optimized for GPU-accelerated workloads using NVIDIA GPU Operator. - Leverage expertise from CKA/CKAD/CKS to develop, deploy, and secure AI applications on Kubernetes. - Implement CI/CD pipelines and GitOps methodologies for deploying and managing ML workflows. - High-Performance Networking & DPUs - Administer InfiniBand networks and BlueField DPUs using Unified Fabric Manager (UFM). - Enable NVLink/NVSwitch performance across GPU nodes and tune fabric configurations for minimal latency and maximum throughput. - Use BlueField for offloading storage, firewalling, and telemetry, enhancing AI workload security and performance. - Security & Compliance - Apply best practices from the CKS certification to secure containerized AI environments. - Configure runtime security, secrets management, network segmentation, and auditing using DPU-enhanced Kubernetes deployments. - Support zero-trust architecture initiatives by enforcing workload identity, RBAC policies, and supply chain integrity across AI container images and model artifacts. - Monitor GPU, CPU, and I/O performance using NVIDIA DCGM, Prometheus, Grafana, and Base Command APIs. - Tune system performance and model training pipelines for cost-efficiency and throughput. - Build and maintain operational runbooks, incident response playbooks, and SLA reporting dashboards covering GPU utilization, thermal thresholds, and fabric health. Qualifications - Kubernetes certifications (CKA, CKAD, CKS) - NVIDIA certifications (NCA-AIIO, NCP-AIO, NCP-AII, NCP-AIN) - Hands-on training in DGX, BlueField, and high-speed network operations Requirements - Expertise with DGX System, BasePOD, and SuperPOD Administration - BlueField DPU Configuration & Operations - InfiniBand Fabric and UFM Management - Base Command Manager for workload orchestration Benefits - Remote position

Role Description We are seeking a highly skilled AI Infrastructure & Kubernetes Platform Engineer with a proven track record in deploying and managing NVIDIA DGX-based AI clusters, orchestrating containerized AI workloads using Kubernetes, and ensuring secure, high-throughput operations across InfiniBand-powered networks. The ideal candidate will hold a combination of Kubernetes certifications (CKA, CKAD, CKS) and NVIDIA certifications (NCA-AIIO, NCP-AIO, NCP-AII, NCP-AIN), coupled with hands-on training in DGX, BlueField, and high-speed network operations. This position plays a key role in supporting AI/ML infrastructure at scale, enabling efficient training and inference for complex models, and integrating NVIDIA's cutting-edge compute, storage, and fabric solutions with modern DevOps practices. Core Responsibilities - AI Infrastructure Operations - Deploy and manage NVIDIA DGX BasePODs and SuperPODs for high-performance AI workloads. - Oversee DGX system lifecycle operations including provisioning, monitoring, firmware upgrades, and capacity planning. - Operate Base Command Manager to manage GPU clusters, schedule workloads, and integrate with MLOps tools. - Perform DGX node health validation, NCCL interconnect testing, and NVLink topology verification following new deployments or hardware changes. - Kubernetes Platform Engineering - Architect secure and scalable Kubernetes clusters optimized for GPU-accelerated workloads using NVIDIA GPU Operator. - Leverage expertise from CKA/CKAD/CKS to develop, deploy, and secure AI applications on Kubernetes. - Implement CI/CD pipelines and GitOps methodologies for deploying and managing ML workflows. - High-Performance Networking & DPUs - Administer InfiniBand networks and BlueField DPUs using Unified Fabric Manager (UFM). - Enable NVLink/NVSwitch performance across GPU nodes and tune fabric configurations for minimal latency and maximum throughput. - Use BlueField for offloading storage, firewalling, and telemetry, enhancing AI workload security and performance. - Security & Compliance - Apply best practices from the CKS certification to secure containerized AI environments. - Configure runtime security, secrets management, network segmentation, and auditing using DPU-enhanced Kubernetes deployments. - Support zero-trust architecture initiatives by enforcing workload identity, RBAC policies, and supply chain integrity across AI container images and model artifacts. - Monitoring, Telemetry & Optimization - Monitor GPU, CPU, and I/O performance using NVIDIA DCGM, Prometheus, Grafana, and Base Command APIs. - Tune system performance and model training pipelines for cost-efficiency and throughput. - Build and maintain operational runbooks, incident response playbooks, and SLA reporting dashboards covering GPU utilization, thermal thresholds, and fabric health. Qualifications - Certified Kubernetes Administrator (CKA) - Certified Kubernetes Application Developer (CKAD) - Certified Kubernetes Security Specialist (CKS) - NVIDIA Certified Associate: AI Infrastructure & Operations (NCA-AIIO) - NVIDIA Certified Professional: AI Infrastructure (NCP-AII) - NVIDIA Certified Professional: AI Operations (NCP-AIO) - NVIDIA Certified Professional: AI Networking (NCP-AIN) Requirements - Expertise With: - DGX System, BasePOD, and SuperPOD Administration - BlueField DPU Configuration & Operations - InfiniBand Fabric and UFM Management - Base Command Manager for workload orchestration - Technical Skills: - Kubernetes, Helm, GPU Operator, Kubeflow - DevOps tools: Ansible, Terraform, GitOps, CI/CD pipelines - Storage: NFS, BeeGFS, Lustre - Networking: RoCE, InfiniBand, DPU offload, gRPC, RDMA - Programming/scripting: Python, YAML, Bash

Role Description We are seeking a highly skilled AI Infrastructure and Kubernetes Platform Architect with deep expertise in managing GPU-accelerated workloads on NVIDIA DGX systems. The ideal candidate will have hands-on experience with Kubernetes at the administrator, application developer, and security levels (CKA, CKAD, CKS), and will be responsible for designing, deploying, securing, and maintaining large-scale AI infrastructure powered by DGX BasePODs and SuperPODs. This role involves optimizing AI workloads, managing high-performance networking (InfiniBand), and ensuring operational excellence across NVIDIA AI systems and BlueField DPU environments. Key Responsibilities - Kubernetes and AI Platform Orchestration - Architect and maintain containerized AI/ML platforms using Kubernetes on DGX systems. - Integrate NVIDIA Base Command Manager with Kubernetes for workload scheduling and GPU resource optimization. - Design multi-tenant GPU resource partitioning strategies using MIG (Multi-Instance GPU) to maximize hardware utilization across concurrent AI workloads. - Implement and manage Helm charts, custom controllers, and GPU operators for scalable ML infrastructure. - DGX Infrastructure Administration - Administer and optimize NVIDIA DGX BasePODs and SuperPODs. - Ensure optimal GPU, CPU, and storage performance across AI clusters. - Leverage DGX System Administration best practices for lifecycle management and updates. - Coordinate capacity planning for DGX cluster expansion including rack power, cooling, and storage integration with NVIDIA AI Enterprise software stack. - High-Performance Networking & DPU - Deploy, monitor, and manage InfiniBand networks using Unified Fabric Manager (UFM). - Integrate BlueField DPUs for offloaded security, networking, and storage tasks. - Optimize end-to-end data pipelines from storage to GPUs. - Security and Compliance - Apply best practices from the CKS certification to harden Kubernetes clusters and AI workloads. - Implement secure service mesh and microsegmentation with BlueField DPU integration. - Conduct regular audits, vulnerability scanning, and security policy enforcement. - Automation & Monitoring - Automate deployment pipelines and infrastructure provisioning with IaC tools (Terraform, Ansible). - Monitor performance metrics using GPU telemetry, Prometheus/Grafana, and NVIDIA DCGM. - Troubleshoot and resolve complex system issues across hardware and software layers. - Implement MLOps workflows integrating KubeFlow Pipelines, NVIDIA Triton Inference Server, and model registry tooling to support end-to-end model training and production deployment. Qualifications - CKA, CKAD, CKS certifications – demonstrating full-stack Kubernetes expertise. - Proven experience with NVIDIA DGX systems and AI workload orchestration. - Hands-on expertise in InfiniBand networking, UFM, and BlueField DPU administration. - Strong scripting and automation skills in Python, Bash, YAML. - Familiarity with Base Command Manager, NVIDIA GPU Operator, and KubeFlow is a plus. - Ability to work across teams to support ML researchers, DevOps engineers, and infrastructure teams.

long term remote Must have 1E DEX Platform exp Digital Experience in Endpoint Automation NEX Think a+ Sys Track a+ Dex HP workforce This is a remote position.

NVIDIA AI Infrastructure & Kubernetes Platform Engineer NVIDIA AI Infrastructure & Kubernetes Platform Engineer (DGX Systems) Alternate titles depending on context: - AI Platform Architect – DGX & SuperPOD - AI Infrastructure DevOps Engineer – NVIDIA DGX Stack - Senior AI Systems Engineer – DGX | Kubernetes | InfiniBand Job Description: We are seeking a highly skilled AI Infrastructure & Kubernetes Platform Engineer with a proven track record in deploying and managing NVIDIA DGX-based AI clusters, orchestrating containerized AI workloads using Kubernetes, and ensuring secure, high-throughput operations across InfiniBand-powered networks. The ideal candidate will hold a combination of Kubernetes certifications (CKA, CKAD, CKS) and NVIDIA certifications (NCA-AIIO, NCP-AIO, NCP-AII, NCP-AIN), coupled with hands-on training in DGX, BlueField, and high-speed network operations. This position plays a key role in supporting AI/ML infrastructure at scale, enabling efficient training and inference for complex models, and integrating NVIDIA's cutting-edge compute, storage, and fabric solutions with modern DevOps practices. Core Responsibilities: AI Infrastructure Operations - Deploy and manage NVIDIA DGX BasePODs and SuperPODs for high-performance AI workloads. - Oversee DGX system lifecycle operations including provisioning, monitoring, firmware upgrades, and capacity planning. - Operate Base Command Manager to manage GPU clusters, schedule workloads, and integrate with MLOps tools. - Perform DGX node health validation, NCCL interconnect testing, and NVLink topology verification following new deployments or hardware changes. Kubernetes Platform Engineering - Architect secure and scalable Kubernetes clusters optimized for GPU-accelerated workloads using NVIDIA GPU Operator. - Leverage expertise from CKA/CKAD/CKS to develop, deploy, and secure AI applications on Kubernetes. - Implement CI/CD pipelines and GitOps methodologies for deploying and managing ML workflows. High-Performance Networking & DPUs - Administer InfiniBand networks and BlueField DPUs using Unified Fabric Manager (UFM). - Enable NVLink/NVSwitch performance across GPU nodes and tune fabric configurations for minimal latency and maximum throughput. - Use BlueField for offloading storage, firewalling, and telemetry, enhancing AI workload security and performance. Security & Compliance - Apply best practices from the CKS certification to secure containerized AI environments. - Configure runtime security, secrets management, network segmentation, and auditing using DPU-enhanced Kubernetes deployments. - Support zero-trust architecture initiatives by enforcing workload identity, RBAC policies, and supply chain integrity across AI container images and model artifacts. Monitoring, Telemetry & Optimization - Monitor GPU, CPU, and I/O performance using NVIDIA DCGM, Prometheus, Grafana, and Base Command APIs. - Tune system performance and model training pipelines for cost-efficiency and throughput. - Build and maintain operational runbooks, incident response playbooks, and SLA reporting dashboards covering GPU utilization, thermal thresholds, and fabric health. Qualifications: Certifications a plus: - Certified Kubernetes Administrator (CKA) - Certified Kubernetes Application Developer (CKAD) - Certified Kubernetes Security Specialist (CKS) - NVIDIA Certified Associate: AI Infrastructure & Operations (NCA-AIIO) - NVIDIA Certified Professional: AI Infrastructure (NCP-AII) - NVIDIA Certified Professional: AI Operations (NCP-AIO) - NVIDIA Certified Professional: AI Networking (NCP-AIN) Expertise With: - DGX System, BasePOD, and SuperPOD Administration - BlueField DPU Configuration & Operations - InfiniBand Fabric and UFM Management - Base Command Manager for workload orchestration Technical Skills: - Kubernetes, Helm, GPU Operator, Kubeflow - DevOps tools: Ansible, Terraform, GitOps, CI/CD pipelines - Storage: NFS, BeeGFS, Lustre - Networking: RoCE, InfiniBand, DPU offload, gRPC, RDMA - Programming/scripting: Python, YAML, Bash This is a remote position.

AI Infrastructure and Kubernetes Platform Architect – DGX Systems Remote 6 months to 2 years USC or GC Must be articulate and speak clearly $95-$125+ p/h Job Description: We are seeking a highly skilled AI Infrastructure and Kubernetes Platform Architect with deep expertise in managing GPU-accelerated workloads on NVIDIA DGX systems. The ideal candidate will have hands-on experience with Kubernetes at the administrator, application developer, and security levels (CKA, CKAD, CKS), and will be responsible for designing, deploying, securing, and maintaining large-scale AI infrastructure powered by DGX BasePODs and SuperPODs. This role involves optimizing AI workloads, managing high-performance networking (InfiniBand), and ensuring operational excellence across NVIDIA AI systems and BlueField DPU environments. Key Responsibilities: Kubernetes and AI Platform Orchestration - Architect and maintain containerized AI/ML platforms using Kubernetes on DGX systems. - Integrate NVIDIA Base Command Manager with Kubernetes for workload scheduling and GPU resource optimization. - Design multi-tenant GPU resource partitioning strategies using MIG (Multi-Instance GPU) to maximize hardware utilization across concurrent AI workloads. - Implement and manage Helm charts, custom controllers, and GPU operators for scalable ML infrastructure. DGX Infrastructure Administration - Administer and optimize NVIDIA DGX BasePODs and SuperPODs. - Ensure optimal GPU, CPU, and storage performance across AI clusters. - Leverage DGX System Administration best practices for lifecycle management and updates. - Coordinate capacity planning for DGX cluster expansion including rack power, cooling, and storage integration with NVIDIA AI Enterprise software stack. High-Performance Networking & DPU - Deploy, monitor, and manage InfiniBand networks using Unified Fabric Manager (UFM). - Integrate BlueField DPUs for offloaded security, networking, and storage tasks. - Optimize end-to-end data pipelines from storage to GPUs. Security and Compliance - Apply best practices from the CKS certification to harden Kubernetes clusters and AI workloads. - Implement secure service mesh and microsegmentation with BlueField DPU integration. - Conduct regular audits, vulnerability scanning, and security policy enforcement. Automation & Monitoring - Automate deployment pipelines and infrastructure provisioning with IaC tools (Terraform, Ansible). - Monitor performance metrics using GPU telemetry, Prometheus/Grafana, and NVIDIA DCGM. - Troubleshoot and resolve complex system issues across hardware and software layers. - Implement MLOps workflows integrating KubeFlow Pipelines, NVIDIA Triton Inference Server, and model registry tooling to support end-to-end model training and production deployment. Required Skills and Qualifications: - CKA, CKAD, CKS certifications – demonstrating full-stack Kubernetes expertise. - Proven experience with NVIDIA DGX systems and AI workload orchestration. - Hands-on expertise in InfiniBand networking, UFM, and BlueField DPU administration. - Strong scripting and automation skills in Python, Bash, YAML. - Familiarity with Base Command Manager, NVIDIA GPU Operator, and KubeFlow is a plus. - Ability to work across teams to support ML researchers, DevOps engineers, and infrastructure teams. This is a remote position.

Benefits: - 401(k) matching - Bonus based on performance - Dental insurance - Health insurance - Stock options plan - Tuition assistance - Vision insurance Principal IT Finance Solutions Analyst Purpose and objectives of the job: The Principal IT Finance Solutions Analyst is a senior individual contributor responsible for end-to-end ownership of IT solutions supporting the Finance domain within the Americas region. This role serves as the functional authority for SAP S/4HANA Finance and related systems, combining deep business process knowledge, hands-on system capability, and disciplined execution. The role ensures Finance solutions are accurate, scalable, compliant, and aligned to business needs. The Principal IT Finance Solutions Analyst operates independently, exercises strong judgment in time-sensitive situations, and is accountable for solution correctness, sustainability, and stakeholder trust. Tasks and responsibilities: End-to-End Domain Ownership • Act as the principal functional authority for SAP S/4HANA Finance (RTR, PTP, OTC, Fixed Assets, and related integrations). • Own full business flow design within Finance, ensuring upstream and downstream impacts are considered before implementation. • Avoid point fixes by validating cross-functional impacts and long-term sustainability of proposed solutions. • Design solutions that fully meet Americas business requirements while maintaining clean design principles that allow for potential global reuse without over-engineering. • Maintain comprehensive understanding of Finance business processes, accounting principles, and internal control requirements. • Define and uphold standards for solution design, documentation, testing, and validation within the Finance domain. • Ensure Finance solutions align with enterprise integration patterns and operational requirements. • Provide direction and oversight to AMS partners to ensure quality, completeness, and correctness of delivered work. Solution Design & System Execution • Independently analyze business requirements and translate them into accurate, scalable IT solutions. • Perform hands-on SAP S/4HANA configuration and related system changes where appropriate. • Validate solutions end-to-end, including integration points (e.g., banking, Concur, third-party systems). • Ensure changes are thoroughly tested through documented test scripts and structured validation. • Minimize rework by confirming requirements and assumptions early and in writing. • Maintain disciplined transport and change management practices to reduce urgent fixes and rollbacks. • Ensure proper documentation for audit and compliance purposes, including SOX-relevant controls. Ownership & Accountability • Own outcomes, not just tasks; accountable for correctness and completeness of delivered solutions. • Anticipate risks, surface issues early, and communicate clearly before problems escalate. • Maintain ownership of urgent issues through resolution, including coordination with third-party vendors. • Demonstrate sound judgment in finance-critical or time-sensitive scenarios. • Ensure solutions are production-ready and validated prior to release. Business Partnership • Serve as a trusted IT partner to Finance stakeholders, including Controller, Assistant Controller, AP/AR leadership, and Finance Managers. • Assess whether business requests require system changes or can be resolved through process, data usage, controls, or operational adjustments before initiating configuration work. • Clearly articulate system behavior, constraints, and solution options in business-relevant language. • Demonstrate strong understanding of Finance operations and accounting concepts. • Support Finance-driven process optimization and continuous improvement initiatives. Interfaces / Relationships: Internal Interfaces • Senior Manager, IT Applications • US and Canada Finance Business Teams • Americas and HQ IT Teams • Internal Audit and SOX Compliance • PMO and Project Teams External Interfaces • AMS partners (e.g., SAP support providers) • Third-party application vendors Competencies: • Strong analytical and structured problem-solving ability • End-to-end process thinking • High degree of ownership and accountability • Risk awareness and proactive communication • Disciplined execution and validation mindset • Ability to balance business urgency with system integrity • Cross-functional impact assessment • Independent decision-making within defined domain authority Qualifications: • 7–10+ years of SAP Finance experience, including SAP S/4HANA (2022 or later preferred) • Hands-on SAP configuration experience in core Finance modules (FI/CO) • Strong understanding of financial accounting processes (GL, AP, AR, Fixed Assets, banking interfaces) • Experience supporting SOX-controlled environments and audit processes • Experience working with AMS or third-party support partners • Prior business-side Finance experience highly preferred (e.g., Accounting, Controlling, or Financial Operations background) • Retail or fashion industry experience preferred Personal Skills • Clear and confident communicator in business terms • Comfortable operating independently with limited oversight • Strong professional judgment under pressure • Detail-oriented with high accuracy standards • Collaborative and respectful cross-functional partner • Calm and composed in time-sensitive situations • Continuous improvement mindset Working conditions: • Fully Remote with occasional travel to CA. Salary: $155,000-$175,000 This is a remote position.

Benefits: - 401(k) matching - Bonus based on performance - Dental insurance - Health insurance - Stock options plan - Tuition assistance - Vision insurance Purpose and objectives of the job: The Principal IT Finance Solutions Analyst is a senior individual contributor responsible for end-to-end ownership of IT solutions supporting the Finance domain within the Americas region. This role serves as the functional authority for SAP S/4HANA Finance and related systems, combining deep business process knowledge, hands-on system capability, and disciplined execution. The role ensures Finance solutions are accurate, scalable, compliant, and aligned to business needs. The Principal IT Finance Solutions Analyst operates independently, exercises strong judgment in time-sensitive situations, and is accountable for solution correctness, sustainability, and stakeholder trust. Tasks and responsibilities: End-to-End Domain Ownership • Act as the principal functional authority for SAP S/4HANA Finance (RTR, PTP, OTC, Fixed Assets, and related integrations). • Own full business flow design within Finance, ensuring upstream and downstream impacts are considered before implementation. • Avoid point fixes by validating cross-functional impacts and long-term sustainability of proposed solutions. • Design solutions that fully meet Americas business requirements while maintaining clean design principles that allow for potential global reuse without over-engineering. • Maintain comprehensive understanding of Finance business processes, accounting principles, and internal control requirements. • Define and uphold standards for solution design, documentation, testing, and validation within the Finance domain. • Ensure Finance solutions align with enterprise integration patterns and operational requirements. • Provide direction and oversight to AMS partners to ensure quality, completeness, and correctness of delivered work. Solution Design & System Execution • Independently analyze business requirements and translate them into accurate, scalable IT solutions. • Perform hands-on SAP S/4HANA configuration and related system changes where appropriate. • Validate solutions end-to-end, including integration points (e.g., banking, Concur, third-party systems). • Ensure changes are thoroughly tested through documented test scripts and structured validation. • Minimize rework by confirming requirements and assumptions early and in writing. • Maintain disciplined transport and change management practices to reduce urgent fixes and rollbacks. • Ensure proper documentation for audit and compliance purposes, including SOX-relevant controls. Ownership & Accountability • Own outcomes, not just tasks; accountable for correctness and completeness of delivered solutions. • Anticipate risks, surface issues early, and communicate clearly before problems escalate. • Maintain ownership of urgent issues through resolution, including coordination with third-party vendors. • Demonstrate sound judgment in finance-critical or time-sensitive scenarios. • Ensure solutions are production-ready and validated prior to release. Business Partnership • Serve as a trusted IT partner to Finance stakeholders, including Controller, Assistant Controller, AP/AR leadership, and Finance Managers. • Assess whether business requests require system changes or can be resolved through process, data usage, controls, or operational adjustments before initiating configuration work. • Clearly articulate system behavior, constraints, and solution options in business-relevant language. • Demonstrate strong understanding of Finance operations and accounting concepts. • Support Finance-driven process optimization and continuous improvement initiatives. Interfaces / Relationships: Internal Interfaces • Senior Manager, IT Applications • US and Canada Finance Business Teams • Americas and HQ IT Teams • Internal Audit and SOX Compliance • PMO and Project Teams External Interfaces • AMS partners (e.g., SAP support providers) • Third-party application vendors Competencies: • Strong analytical and structured problem-solving ability • End-to-end process thinking • High degree of ownership and accountability • Risk awareness and proactive communication • Disciplined execution and validation mindset • Ability to balance business urgency with system integrity • Cross-functional impact assessment • Independent decision-making within defined domain authority Qualifications: • 7–10+ years of SAP Finance experience, including SAP S/4HANA (2022 or later preferred) • Hands-on SAP configuration experience in core Finance modules (FI/CO) • Strong understanding of financial accounting processes (GL, AP, AR, Fixed Assets, banking interfaces) • Experience supporting SOX-controlled environments and audit processes • Experience working with AMS or third-party support partners • Prior business-side Finance experience highly preferred (e.g., Accounting, Controlling, or Financial Operations background) • Retail or fashion industry experience preferred Personal Skills • Clear and confident communicator in business terms • Comfortable operating independently with limited oversight • Strong professional judgment under pressure • Detail-oriented with high accuracy standards • Collaborative and respectful cross-functional partner • Calm and composed in time-sensitive situations • Continuous improvement mindset This is a remote position.