Startup Careers

Be a part of our family by contributing to our portfolio companies’ innovation and success. Browse open positions below with Intel Capital portfolio companies.

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


  • 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.