Network/Systems Architect (Remote)

Govcio LLC

6d•Remote

About The Position

GovCIO is currently hiring for Data Infrastructure Operations Lead. This person will be responisble for the Infrastructure & Data Center Architect/Lead and will provide technical leadership and oversee / maintain data center operations for genomic workloads requiring HPC, Imaging, and AI-Large Language Models (LLM). This position will be fully remote within the United States. The Data Infrastructure Operations Lead for Genomic workloads will be the Infrastructure & Data Center Architect/Lead and will provide technical leadership and oversee / maintain data center operations for genomic workloads requiring HPC, Imaging, and AI-Large Language Models (LLM). The candidate will be able to architect, design, develop and implement enterprise and cloud-based infrastructure and platform solutions. As a technical leader, you will work on complex infrastructure problems spanning on-premises and cloud and be able to create innovative solutions to provide a seamless experience for researchers. You will be able to lead, design and build data centers for next generation computing capabilities. You will also be able to perform routine system administration tasks, troubleshooting high availability systems, log data, optimize performance, deploy GPU and implement automation techniques. You will be skilled in data center design, rack & stack, hybrid cloud implementation, network design, AI workload placement / distribution / scaling / parallelization, and capacity planning. You will be knowledgeable in good security practices in data center, platform and infra architecture, design and development to implement secure solutions.

Requirements

Bachelor's with 15+ years (or commensurate experience)
Extensive Data Center architecture and design experience
Data Center rack and stack experience
Network design encompassing a hybrid ecosystem
Knowledge of Software Development Lifecycle and agile methodologies
Infrastructure Architecture experience extensively in on-premises, and preferably in cloud (AWS, Azure), hybrid cloud
Experience in architecting and designing GPU's, HPC clusters and pipelines for genomics processing and AI workloads.
Knowledge of virtualization techniques and working experience on hypervisors
MLOPs, DevSecOps experience is a plus.
Experience in secure and scalable infrastructure architecture for web applications, data systems and back-end applications
Knowledge of IaaS, PaaS components in on-premises (private cloud) and preferably in cloud (hybrid and public / gov)
Knowledge of infrastructure for distributed data systems
Knowledge of infrastructure for AI workloads including analysis pipelines and neural network models for genomics workloads
Knowledge of GPU virtualization, GPU partitioning, multi-GPU in bare-metal and virtualized env is a plus.
In-depth knowledge of network design, server and storage design in a highly scalable, fault-tolerant model is a must.
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).
Experience in design, create and build of IaaS and PaaS for on-premises environment.
Knowledge of IaC (Infrastructure as Code), infra-automation, monitoring and tools such as Terraform

Nice To Haves

Architect, design, build and rack & stack data center/s including servers (CPU, VCPU, GPU), storage, n/w tape, for our diverse high computing needs for genomic workloads including but not limited to AI, Imaging, HPC, and various operational applications in a highly secure mode.
Design end-to-end secure and highly available Infrastructure Architecture (On-premises – multi data center, and preferably cloud, hybrid, multi-cloud)
Network design and implementation of all networking components including firewalls, routers.
Collaborate with Application, Data and Security Architects to incorporate security, data, and application requirements.
Design and build on-premises IaaS and hence extensive on-premises and data center design experience is a must.
Architect systems for High Performance computing clusters with the ability to execute genomics pipelines at scale with large volumes of data.

Responsibilities

provide technical leadership
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 and be able to create innovative solutions to provide a seamless experience for researchers
lead, design and build data centers for next generation computing capabilities
perform routine system administration tasks, troubleshooting high availability systems, log data, optimize performance, deploy GPU and implement automation techniques