Washington - Redmond

8 Years

- /- ( )

Required Skills

Cisco Certified Network Professional (CCNP) VMware Certified Professional (VCP) AWS Azure Google Cloud Docker Kubernetes

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 3rd Sep 2025

JOB DETAIL

  1. Architecture Design:
    • Deep understanding of comprehensive datacenter architecture plans that align with business goals and technical requirements.
    • Deep understanding of scalable, secure, and efficient datacenter infrastructures.
    • Good knowledge in high availability and disaster recovery capabilities.
  2. Physical Build and Deployment:
    • Understanding of physical build and deployment of datacenter infrastructure, including servers, storage, networking, and virtualization.
    • Understanding of installation, configuration, and maintenance of datacenter hardware and software.
  3. Logical Build and Deployment:
    • Deep understanding in design and implementation of logical datacenter architectures using tools such as Azure DevOps.
    • Good understanding and working knowledge in CI/CD pipelines for automated deployment and configuration.
    • Good understanding in seamless integration of various components and services within the datacenter.
  4. Automation:
    • Ability to strategize and implement automation to streamline datacenter operations.
    • Good understanding in tools such as Ansible, Puppet, or Chef for configuration management and automation.
    • Ability to think through scenarios for scripts and automation workflows to reduce manual intervention and improve efficiency.
  5. AI Solutions:
    • Good understanding to Integrate AI and machine learning solutions to enhance datacenter performance and reliability.
    • Good understanding around predictive analytics models to foresee and mitigate potential issues.
    • Good knowledge in AI-driven monitoring and management tools to optimize resource utilization.
  6. SILICON Area:
    • Good knowledge in designing and managing high-performance computing (HPC) environments tailored for AI and machine learning workloads.
    • Knowledge in datacenter infrastructure for specialized hardware such as GPUs, TPUs, and FPGAs.
    • Knowledge in efficient cooling and power management for high-density compute environments.
  7. AI Datacenters:
    • Knowledge in datacenters specifically for AI workloads, focusing on data throughput, latency, and scalability.
    • Knowledge in AI-driven optimization techniques for resource allocation and workload management.
    • Ability to collaborate with AI research and development teams to support cutting-edge AI applications and services.

 

Company Information

VDart Inc

venkatamahesh.c@vdartinc.com

678-685-8650