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System Administrator at ScienceLogic
Reston, VA, US

What we're looking for...

ScienceLogic is looking for a Billing System Administrator to be responsible for the overall operations of our internal server.  You will use your knowledge in system administration to take a proactive and innovative approach to ensure mission-critical environments are continuously up and running for our clients.   

What you’ll be doing...

  • Administer and monitor system availability
  • Maintain internal billing server
  • Act on alerts raised from the monitoring system
  • Act on tickets raised in Service Cloud
  • Monitor system backup and recovery processes
  • Upgrade and patch systems
  • Daily/Weekly/Monthly Operational Tasks as defined by Management
  • Documentation of Procedures, Systems design and architectural documentation
  • Act on issues related to billing environment
  • Other functions include working on tickets for/from Internal and External customers

Qualities you possess...

  • Have exceptional troubleshooting skills
  • Show excellent communication skills (both verbal and written)
  • Be a self-starter, strong organizational skills
  • Be a creative person who looks for new and innovative ways to resolve problems
  • Have the ability to maintain a positive and cooperative attitude in sometimes stressful situations
  • Be flexible and willing to learn new technologies and applications
  • Take a proactive approach to meet client needs and SLA’s

Requirements...

  • 2-4 years of experience in System Administration and/or NOC Administration
  • Experience working with LAMP environments desirable
  • Experience with MySQL or similar Database architectures
  • Scripting to automate key functions, preferably Bash scripting is desirable

About ScienceLogic

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.