Senior Data Center Infrastructure Engineer

Bank of America

Richmond (VA)

On-site

USD 145,000 - 185,000

Full time

9 days ago

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Job summary

Bank of America is seeking a leader to oversee critical infrastructure design and operations for its data centers worldwide. You will ensure 100% uptime of key assets, drive improvements in engineering practices, and coordinate with Real Estate, Construction, and Technology teams to deliver upgrades.

The role requires strong collaboration across geographically distributed teams, a track record of reliable project delivery, and a practical, data-driven approach to capacity and efficiency

Qualifications

  • 5+ years in Data Center or related infrastructure engineering.
  • Strong knowledge of mechanical, electrical, and cabling systems in data centers.
  • Experience with budgets and vendor cost management on data center projects.
  • Proven ability to lead or contribute to data center infrastructure projects.
  • Experience partnering with Real Estate, Construction, and Technology teams.

Responsibilities

  • Oversee design and operations of critical infrastructure.
  • Review corporate real estate change control for critical facilities.
  • Drive engineering process improvements and standardization.
  • Support capacity management across data center environments.
  • Collaborate with vendors and internal teams to deliver upgrades.

Skills

Data Center Infra
Electrical Systems
Budgeting & Cost Control
Project Leadership
Stakeholder Collaboration
Communication Skills

Tools

DCIM
Monitoring Tools
Automation Tools
Capacity Planning

Job description

Bank of America is seeking a leader to oversee critical infrastructure design and operations for its data centers worldwide. You will ensure 100% uptime of key assets, drive improvements in engineering practices, and coordinate with Real Estate, Construction, and Technology teams to deliver upgrades.

The role requires strong collaboration across geographically distributed teams, a track record of reliable project delivery, and a practical, data-driven approach to capacity and efficiency

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