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Data Center Specialist-Senior

Job Description - Data Center Specialist-Senior

Description
Under limited supervision, responsible for monitoring data center operations and maintenance activities and performing associated tasks with operating an enterprise-level multi-server computer environment. Leads or mentors lower level team members.

Responsibilities

ASSOCIATES DEGREE IN COMPUTER SCIENCE OR RELATED FIELD AND 6 YEARS OF EXPERIENCE NEEDED

  • Performs and supports lower level team members with basic tasks in the maintenance, diagnosis and repair of data center hardware, equipment and peripherals to include network cabling, installations and decommissions.
  • Continuously observes system/server availability and backup job operations.
  • Troubleshoots according to established knowledge base and procedures; reports, escalates, and documents system alerts and backup job failures to appropriate support personnel.
  • Evaluates and recognizes data center systems/environment failures and hardware malfunctions.
  • Confers with software systems engineering or applications programming personnel in the event errors require a change of instructions or sequence of operations.
  • Conducts routine checks, power audits and operational logistics.
  • Submits, reviews, tracks and maintains records of facilities maintenance requests, activity/incident reports, and required logs.
  • Performs Tier 1 ticket requests and supports lower level team members.
  • Follows operational procedures to troubleshoot and resolve system problems.
  • Performs all other duties as assigned.


Qualifications
  • Ability to demonstrate in-depth knowledge of computer systems, software applications and automated systems concepts, practices and policies with the ability to use them in complex varied situations.
  • Competent to work on most phases of computer operations, with ability to provide some instruction and guidance for other phases.
  • Ability to act as a team leader, creating a collaborative and respectful team environment and improving workflows.
  • Meticulous attention to detail in identifying patterns and malfunctions within data systems that may otherwise be overlooked.


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