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Fabletics

DevOps Engineer II

$120K - $140K/yr

Design, deploy, and maintain Kubernetes clusters across Amazon EKS and NKP (Nutanix Kubernetes ... This role is remote-friendly, with headquarters based in El Segundo, CA What We Offer * A high ...

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What are the key skills and qualifications needed to thrive as a Remote Nkp, and why are they important?

I'm sorry, but 'Remote Nkp' does not appear to be a recognized real-world professional occupation, so I cannot provide an accurate response.

What are some common challenges faced by professionals working as Remote Network Performance (Nkp) engineers, and how can they be addressed?

Remote Network Performance (Nkp) engineers often face challenges such as limited physical access to network hardware, reliance on remote diagnostic tools, and coordinating with on-site teams for troubleshooting. To address these challenges, effective communication, thorough documentation, and proficiency with remote monitoring and management platforms are essential. Building strong relationships with on-site staff and maintaining up-to-date knowledge of network technologies can also help ensure quick problem resolution and optimal network performance.

What are Remote Nkp jobs?

Remote Nkp jobs typically refer to positions that can be performed from any location, rather than requiring employees to be physically present at a specific workplace. However, 'Nkp' does not appear to be a widely recognized job title or acronym in the current job market. If you are searching for remote jobs, it's important to clearly define the roles or industries you're interested in, such as 'Remote Network Professional' or similar. Clarifying the job title will help you find more accurate information and relevant job listings.

What is the difference between Remote Nkp vs Remote Data Analyst?

AspectRemote NkpRemote Data Analyst
Required CredentialsTypically requires Nkp certification or relevant industry-specific trainingOften requires a degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentPrimarily remote, often in healthcare or industry-specific settingsPrimarily remote, working with data sets, analytics tools, and reporting platforms
Employer & Industry UsageUsed in healthcare, manufacturing, or industry-specific sectorsUsed across finance, marketing, healthcare, and technology sectors

Remote Nkp and Remote Data Analyst roles share a remote work environment but differ in industry focus and required credentials. Remote Nkp is often industry-specific, requiring specialized certifications, while Remote Data Analysts typically need a background in data science or analytics. Both roles involve remote work but serve different industry needs and skill sets.

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What are the most commonly searched types of Nkp jobs? The most popular types of Nkp jobs are:
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What job categories do people searching Remote Nkp jobs look for? The top searched job categories for Remote Nkp jobs are:
Remote Nkp jobs near you
Infographic showing various Remote Nkp job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, and 7% Hybrid job distribution.
Infrastructure Architect (AI & Data Center) - Remote / Telecommute

Infrastructure Architect (AI & Data Center) - Remote / Telecommute

CYNET SYSTEMS

San Jose, CA • Remote

$71 - $82/hr

Contractor

Posted 26 days ago

Job description

Job Overview:

Pay Range: $71.16hr - $82.39hr

Requirement/Must Have:

  • Bachelor’s degree in Information Technology, Business, or a related field.
  • 5+ years of experience in Data Center projects in an enterprise environment.
  • Knowledge of Cisco, Dell, HPE, Supermicro hardware.
  • Deep knowledge of Cisco HW, NVIDIA GPU architectures (H100, B200, RTX 6000 Pro) and high-speed interconnects (RoCE v2, InfiniBand).
  • Extensive knowledge and experience with Data Center infrastructure.
  • Proficiency with asset management and automation tools (Netbox, ServiceNow, Terraform, or OpenTofu).
  • Experience in Data Center lifecycle management, DC HW capacity planning, decommissioning, defragmentation, building complex financial showback models for shared infrastructure.
  • Proven expertise in Kubernetes (NKP preferred) and NVIDIA AI Enterprise stacks (GPU Operator, DCGM, Triton, vLLM).

Responsibilities:

  • Lead the architectural design and refinement of the client GPU-as-a-Service (GPUaaS) platform, ensuring a seamless experience for internal R&D, QA, and Sales teams.
  • Provide technical leadership in key initiatives such as client Validated Designs (NVD) for the AI Factory, incorporating NVIDIA MGX/HGX architectures and high-density Cisco nodes (e.g., UCS 845A).
  • Architect the Management Cluster control plane (NKP, Prism Central, NuDeploy) to ensure it is decoupled from GPU compute nodes for maximum efficiency.
  • Implement policy-driven placement of workloads across on-prem and cloud-burst environments.
  • Design solution for a centralized Data Center Asset Inventory system, ensuring real-time visibility into all hardware assets, including CPUs, GPUs, Virtual Machines, and networking.
  • Develop a comprehensive Hardware Lifecycle Management strategy, including procurement forecasting, 'rack and stack' operationalization, and decommissioning of legacy systems (G3/G4/G5).
  • Lead 'Tiger Team' initiatives to navigate supply chain constraints, ensuring critical release milestones are not delayed by hardware shortages.
  • Enforce strict Security Standards for Data Center HW Provisioning.
  • Implement network segmentation for all critical applications.
  • Ensure all infrastructure meets SOC 2 and ISO 27001 compliance objectives while maintaining low-latency performance.
  • Provide required architecture and designs during the project intake process. Review, guide the teams for right architecture for all demands before they become approved projects.
  • Partner with security team and provide guidelines for upcoming projects.
  • Involve and lead projects as an architect on special projects.

Nice to Have:

  • Experience managing (as an architect) massive-scale data center environments (1,000+ nodes).
  • Knowledge of client Cloud Infrastructure (NCI), AHV, and Prism Central.
  • Strong background in MLOps and automated pipeline integration (Kubeflow/MLflow).

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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