AI Lab Infrastructure Engineer

Job not on LinkedIn

🕒 March 4

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Berkeley Research Group (BRG)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏗️ Construction

📦 Logistics

🎖️ Defense

💰 Venture Round on 2020-07

Construction • Logistics • Defense

Berkeley Research Group (BRG) is a global consulting firm that helps leading organizations advance in the fields of corporate finance; economics, disputes, and investigations; and performance improvement. With offices around the world, BRG is an integrated group of experts, industry leaders, academics, data scientists, and professionals working across borders and disciplines. The firm specializes in various sectors, including construction, energy, technology, and healthcare, delivering inspired insights and practical strategies to help clients navigate their challenges effectively.

📋 Description

• Architect and build the virtual access interface for our physical Ai Lab • Ensure secure, scalable, and efficient remote processing capabilities • Lead the design and implementation of infrastructure that allows BRG teams to leverage our Ai Lab's computational power remotely • Develop customizable interfaces for different BRG groups • Implement secure access controls • Ensure optimal resource allocation for concurrent users processing massive datasets through LLMs

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field • Minimum six to eight (6-8) years of hands-on experience designing, deploying, and managing scalable cloud infrastructure • Strong experience with Infrastructure as Code (IaC) tools and methodologies • Experience designing, implementing, and maintaining scalable, secure, and cost-efficient cloud/on-prem solutions • Proven ability to manage and lead projects to deliver high-quality, replicable solutions • Proficiency in VCS (Git/GitHub), modern coding languages (Python, .NET, Java, etc.), Software Development Life Cycle, and CI/CD practices • Experience with API design and implementation for distributed systems • Knowledge of GPU infrastructure and optimization for AI workloads • Hands-on experience with AWS Services including: EC2/Lambda (apps/functions) SageMaker (ML) S3 (file management) Fargate/ECS/EKS (containerization) CDK/Terraform (IaC) Cost Explorer/Budgets

🏖️ Benefits

• Equal Opportunity Employer