ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Data Center Construction Site Foreman at Lambda - ApplyBlast

Data Center Construction Site Foreman

Lambda

2 months ago

3.4 on Glassdoor

Querétaro, Querétaro, Mexico

Onsite

Full Time

Senior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

The Data Center Construction Site Foreman serves as the on-site lead for data center projects, directing daily activities across trade crews and vendor teams to ensure fit-outs, expansions, and upgrades are completed safely and on schedule. This role involves overseeing physical installation work, enforcing safety and quality standards, managing materials, and supporting commissioning and turnover processes. The position requires extensive travel to active construction sites and collaboration with cross-functional teams to support GPU deployment readiness.

Responsibilities

Direct daily field supervision and coordinate trade crews on data center construction sites
Oversee white space fit-out, rack installation, and infrastructure upgrades ensuring quality standards
Enforce safety protocols, manage material flow, and resolve field conflicts to maintain schedule

Skills

Qualifications

High school diploma or equivalentCompleted trade apprenticeshipJourneyman licenseTechnical certificationAssociate degree in a construction or engineering discipline

About Lambda

lambda.ai

Headquarters

San Francisco, California, United States

Company Size

51-200 employees

Founded

2012

View Profile

Lambda is a cutting-edge cloud computing platform specializing in AI infrastructure, referred to as the "Superintelligence Cloud." It offers gigawatt-scale AI GPU cloud services with on-demand and reserved NVIDIA GPUs, designed specifically for AI training and inference. Lambda's solutions include private cloud options, one-click clusters for streamlined AI training, and orchestration tools for efficient workload management. The company is aimed at AI teams needing scalable solutions to develop and deploy advanced machine learning applications.