Connect Talent Solutions
Senior Systems Administrator TS/SCI **DAYTIME SHIFT**
Springfield, US · Senior
No sponsorshipDetected 2242 days ago
TypeScriptLinuxCybersecurityCustomer SupportNetwork MonitoringLeadershipCommunicationWriting
About the role
- Connect Talent Solutions is a fast growing, innovative staffing firm offering direct placement, contract and contract to hire solutions.
- Job Description ***The shift for this position is from 5:30 AM to 5:30 PM EST Sundays-Wednesdays.
- The Data Center Ops team is responsible for detailed operations documentation and reporting of events with follow through until resolution.
Responsibilities
- Support diagnoses and troubleshooting of problems/issues with the virtualization environment including Microsoft Windows and Linux O/S systems.
- Provide systems diagnostics and availability monitoring and reporting/escalation services Within established procedures, responds to end user requests for technical support and assistance.
- 5+ year providing Operation and Sustainment support for the virtualization environment.
- Maintain current industry knowledge of development concept, practices and procedures Develop an in-depth understanding of the ITEMS Data Center Services baseline capabilities, design and objectives.
Requirements
- The team operates 24/7/365 and must follow operational procedures and guidelines established by leadership to include some knowledge of business structure and interdependencies between departmental applications.
- Desired solid understanding of the ITIL framework Must have current TS/SCI security clearance Must be a U.S.
Benefits
- Bachelor's Degree in Computer Science, Information Technology, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
Visa & Work Authorization
- Desired solid understanding of the ITIL framework Must have current TS/SCI security clearance Must be a U
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This listing is sourced directly from Connect Talent Solutions's careers page and normalized into a canonical job model.