| Datacenter Architect -- Redmond, WA (Onsite) at Redmond, Washington, USA |
| Email: [email protected] |
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Candidate Must be Architect. Hi I have one urgent requirement of Datacenter Architect for location Redmond, WA (Onsite) If you are interested then please share with me your updated resume at [email protected] and fill the below table with your primary contact details. Full Legal Name (As per the passport): Current Location: Primary Contact Number: Primary Email ID: Visa/Work Authorization: As it is an urgent requirement, your immediate response will be highly appreciated. Job Title: Datacenter Architect Duration: Contract Location: Redmond, WA (Onsite) 11+ Years of experience required. We need candidates who have substantial experience in Azure Cloud and Datacenter. Job Description: Key Responsibilities: Architecture Design: Deep understanding of comprehensive data center architecture plans that align with business goals and technical requirements. Deep understanding of scalable, secure, and efficient data center infrastructures. Good knowledge in high availability and disaster recovery capabilities. Physical Build and Deployment: Understanding of physical build and deployment of data center 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 of 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 data centers 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. Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Proven experience as a Datacenter Architect or similar role. Strong knowledge of datacenter infrastructure, including servers, storage, networking, and virtualization. Proficiency in automation tools and scripting languages (e.g., Python, Power). Experience with AI and machine learning applications in data center environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Certifications such as Cisco Certified Network Professional (CCNP), VMware Certified Professional (VCP), or similar. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Warm Regards Soubhagya Ranjan Executive Talent Acquisition -- Keywords: continuous integration continuous deployment artificial intelligence information technology Idaho Washington Datacenter Architect -- Redmond, WA (Onsite) [email protected] |
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| 02:03 AM 27-Nov-24 |