Franklin Resources

Franklin Resources

Lead Maintenance Technician - Rancho Cordova

Rancho Cordova, California, United States of America

Sponsorship not specified$31k-$70kDetected 50 days ago
ExcelCustomer SupportPower ElectronicsCommunicationCollaborationProblem Solving

About the role

  • Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals.
  • Our talented teams working around the globe bring expertise that's both broad and unique.
  • From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.

Responsibilities

  • You will support overall operation and maintenance of critical infrastructure (electrical, fire suppression, and HVAC equipment) supporting two data centers and other critical spaces and equipment.
  • You will build relationships and partnerships with facilities operations and maintenance teams.

Requirements

  • 6-8+ years of experience in HVAC, electrical, and plumbing maintenance required
  • You are experienced in finish carpentry, painting, flooring, and door repairs.
  • You are experienced in modular furniture systems and installation.

Compensation

  • Along with base compensation, employees are eligible for an annual discretionary bonus (delete as appropriate), a 401(k) plan with a generous match, and recognition rewards.

Benefits

  • Three weeks paid time off the first year
  • Medical, dental and vision insurance
  • 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits
  • Employee Stock Investment Program
  • Tuition Assistance Program
  • You will provide coverage of BMS alerts and notifications for critical infrastructure systems to ensure that all services are delivered effectively.
  • Onsite fitness center and recreation center*

This listing is sourced directly from Franklin Resources's careers page and normalized into a canonical job model.