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US Citizen
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Green Card
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EAD (OPT/CPT/GC/H4)
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H1B Work Permit
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Corp-Corp
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W2-Permanent
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W2-Contract
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Contract to Hire
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UG :- - Not Required
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PG :- - Not Required
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No of position :- ( 1 )
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Post :- 11th Aug 2026
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.