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Hiring research and market notes

Research and market notes on data center and AI infrastructure hiring, for the people who own the hiring plan.

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Articles

Market data

Phoenix: 7 approved projects, 15 agents

The most approved projects of the nine metros we track, the local commissioning headcount, and when to book the commissioning lead.

By Czarina Tabayoyong ·

Market data

San Antonio: 2 sites in commissioning, 5 agents

The only metro we track with two sites in their commissioning window this quarter, the local commissioning headcount, and where to hire.

By Czarina Tabayoyong ·

Market data

Columbus: 5 builds, 3 commissioning agents

Our Columbus tracker and talent counts side by side, and where a contractor or owner can hire the commissioning team.

By Czarina Tabayoyong ·

Market analysis

Why commissioning agents are hard to hire

Why Level 4 and 5 experience takes years of live projects to build, and when to start the CxA search on a new build.

By Czarina Tabayoyong ·

Methodology

How to model the cost of a vacant data center role

The four inputs behind a vacancy number, why schedule risk is usually the largest in infrastructure, and how to compare it with what a search costs.

By Czarina Tabayoyong ·

Playbook

Hiring sequence for data center roles

How to plan hiring backward from a turnover date by role family, and the four places searches stall.

By Czarina Tabayoyong ·

Playbook

Critical facilities team retention

How to set up shifts, screen for incident judgment, and keep technicians at a 24/7 site past year two.

By Czarina Tabayoyong ·

Role analysis

Why a GPU cluster engineer and an AI engineer are different hiring markets

How to tell the two roles apart on a scorecard, and how pay and sourcing differ for each.

By Czarina Tabayoyong ·

Role analysis

CxA, QCxP, controls engineer and startup technician

What each commissioning role owns and the order to hire them in, working back from turnover.

By Czarina Tabayoyong ·

Market analysis

Controls and BMS engineer hiring for data centers

What to ask controls and BMS candidates about platforms, protocols and point-to-point checkout.

By Czarina Tabayoyong ·

Hiring strategy

How to scope a Head of Infrastructure for a GPU cloud

Whether the role should own fleet operations, platform, networking or all of it at your stage, and how to write the scorecard.

By Czarina Tabayoyong ·

Hiring strategy

Why a critical facilities req stays open

The four causes behind an aging facilities req, how to diagnose which one you have, and what to change before more sourcing spend.

By Czarina Tabayoyong ·

Market analysis

Data center hiring in Phoenix and competition from semiconductor fabs

Which Phoenix roles are easier to fill, which are hard, and what order to hire in for a build.

By Czarina Tabayoyong ·

Hiring strategy

AI infrastructure team design

What each of the five infrastructure functions owns, how to tell candidates apart in interviews, and what to hire first.

By Czarina Tabayoyong ·

Trends

AI hiring trends in data center teams

What AI buildouts changed about scope, sequence and screening, and which roles employers now compete hardest for.

By Czarina Tabayoyong ·

Market analysis

Data center recruitment in 2026

Why job postings stopped working, which adjacent industries the bench comes from, and how to plan hiring against a construction schedule.

By Czarina Tabayoyong ·

Role guide

What is a commissioning engineer?

The role in plain terms, the five commissioning levels, how it differs from a CxA or QCxP, and what to screen for.

By Czarina Tabayoyong ·

Compensation

What does a commissioning engineer earn in 2026?

Pay by commissioning level, how employer type changes the number, which markets pay a premium, and what moves an offer past the band.

By Czarina Tabayoyong ·

Role guide

The AI infrastructure engineer role

What the role covers, the four places these engineers work today, and how pay varies by market.

By Czarina Tabayoyong ·

Market analysis

AI infrastructure hiring trends for late 2026

Which roles are getting harder to fill, where employers aren't looking, and why some searches close while others sit open.

By Czarina Tabayoyong ·

Candidate guide

Candidate questions on AI infrastructure roles

Pay, remote work, converting from adjacent fields, certifications, and how these roles get filled.

By Czarina Tabayoyong ·

Candidate guide

Data center commissioning contract terms

A plain explanation of hourly W2 rates, per diem, heavy travel and conversion terms on commissioning contracts.

By Czarina Tabayoyong ·

New build

PowerHouse Circle T and DFW data center hiring

The project, the roles it will need building by building, and the other DFW campuses hiring the same people.

By Czarina Tabayoyong ·

Market analysis

Senior data center technician hiring

Why senior technicians are the hard hire, what they are paid, and public data on staffing and turnover.

By Czarina Tabayoyong ·

Market analysis

Trades pay in data center markets

Six years of BLS wage and employment data for electricians, HVAC mechanics and line workers in four data center metros.

By Czarina Tabayoyong ·

New build

Stack Stafford Technology Campus and Northern Virginia data center hiring

The project, the roles it will need building by building, and the other Northern Virginia campuses hiring the same people.

By Czarina Tabayoyong ·

Hiring strategy

How to hire a GPU cluster operations team

Network, storage, systems and cluster operations: where each seat's candidates come from, the screening questions we use, and posted pay with dates.

By Czarina Tabayoyong ·

Playbook

How to tell if a candidate has actually run a liquid cooling loop

The screening questions we use on liquid cooling searches, with what a strong answer includes and the red flags.

By Czarina Tabayoyong ·

Hiring strategy

Where liquid cooling technicians come from

The five backgrounds that already run pumps, heat exchangers and water chemistry, the gap each one has to close, and posted pay.

By Czarina Tabayoyong ·

Methodology

AI in screening

How AI tools are used in sourcing and screening, and where a person makes the decision.

Playbook

Site launch sequence

Which searches must be open at each milestone, and the staffing risks to raise before they affect launch.

Playbook

Talent market maps

Named target companies, candidate counts by metro, observed pay ranges and adjacent talent pools.

Reference

Engagement scopes

Homepage scopes for talent intelligence, embedded search, team builds and leadership search.

Working notes

Recurring patterns

Observations from live searches and market research. Estimates are labeled as estimates.

Regional supply

Critical facilities and commissioning talent clusters around existing campuses. A U.S. average does not show whether a given metro can staff a given site.

Scope problems

Roles that stall usually have a constraint in the job description: travel, shift, certification, or a comp band written before the last build cycle.

Outside competition

Platform, SRE and MLOps candidates benchmark against product companies. Infrastructure employers attract them with the size of the problem and a clear mission.

Interview speed

Interview feedback speed is the easiest thing to control. Candidates who hear back within 48 hours stay in the process; a two-week loop loses them.

Critical Path Search

A newsletter on hiring for data center builds. The first issue goes out with our first Data Center Commissioning Workforce Report.

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