Pico

Data Center Engineer

Chicago, IL

Sponsorship not specified$70k-$100kDetected 26 days ago

Project ManagementRecruitingSystems EngineeringCommunicationOrganizational SkillsFiber Optics

About the role

Working closely with our Network and Systems engineering teams and our Project Management and client Service Delivery functions to ensure prompt delivery of all projects.
With a structured approach, strong team ethos and the flexibility and commitment to solve problems and get things done, the role holder will be a key member of this small but highly skilled and integral team.
A key requirement of this job is flexibility as the role holder will be expected to work in short change windows, late at night and out of hours.

From infrastructure to connectivity, we support our clients through the full trading lifecycle.
Working within Pico's and Pico's clients' various Data Centers in Chicago with some NY, Mexico and Canada, the role holder will be responsible for the physical build and maintenance of our environment.

We operate many data centers across EMEA, the candidate will be required to travel throughout Europe, sometimes on very short notice, particularly in the short term.
3+ years of experience in Telecommunications or Data Centre related field
In depth knowledge of Telecom structured cabling standards
In depth knowledge of network device / server deployment
In depth knowledge of DCO standards and operations
3+ years use of industry standard test equipment

Lift and handle up to 50 pounds
Bend, stoop, and stretch as required for placement and retrieval of network devices, materials, or equipment
Work under a raised data center floor
Climb ladders (up to a16 feet) to reach plenum spaces

As financial industry experts at the center of markets and technology, we help our clients efficiently scale their business and quickly access markets.
We are a global company headquartered in New York, with offices in Chicago, London, Singapore, Hong Kong and Tokyo.

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