TL;DR
Network/Systems Architect (AI): Responsible for Infrastructure & Data Center Architect/Lead, providing technical leadership and overseeing data center operations for genomic workloads requiring HPC, Imaging, and AI-Large Language Models (LLM) with an accent on architecting, designing, developing and implementing enterprise and cloud-based infrastructure and platform solutions. Focus on data center design, rack & stack, hybrid cloud implementation, network design, AI workload placement/distribution/scaling/parallelization, and capacity planning.
Location: Fully remote within the United States
Salary: $150,000 - $170,000 Annually
Company
hirify.global is a team of transformers--people who are passionate about transforming government IT.
What you will do
- Provide technical leadership and oversee/maintain data center operations for genomic workloads requiring HPC, Imaging, and AI-Large Language Models (LLM).
- Architect, design, develop, and implement enterprise and cloud-based infrastructure and platform solutions.
- Work on complex infrastructure problems spanning on-premises and cloud, creating innovative solutions.
- Lead, design, and build data centers for next-generation computing capabilities.
- Perform routine system administration tasks, troubleshooting high availability systems, optimizing performance, deploying GPUs, and implementing automation techniques.
- Design end-to-end secure and highly available Infrastructure Architecture.
Requirements
- Bachelor's with 15+ years (or commensurate experience)
- Extensive Data Center architecture and design experience
- Experience in architecting and designing GPUs, HPC clusters, and pipelines for genomics processing and AI workloads.
- In-depth knowledge of network design, server and storage design in a highly scalable, fault-tolerant model.
- Extensive knowledge of on-premises infrastructure and preferably cloud infrastructure (VPC, N/W, sub-nets, Cloud network connect, VPN, IAM, DB, K8, Autoscaling, Multi-zone, multi-region).
- Knowledge of IaC (Infrastructure as Code), infra-automation, monitoring and tools such as Terraform.
Nice to have
- MLOPs, DevSecOps experience.
- Knowledge of GPU virtualization, GPU partitioning, multi-GPU in bare-metal and virtualized env is a plus.
Culture & Benefits
- Employee Assistance Program (EAP)
- Corporate Discounts
- Learning & Development platform
- Referral Bonus Program
- Flexible Work Environment
Hiring process
- Virtual video interview conducted via video with the hiring manager and/or team.
- Enhanced Biometrics ID verification screening.
- Background check, to include criminal history, education verification, and employment history.
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