Senior System Administrator

Responsibilities

• Resolve access issues related to system configurations and platform-specific permissions
• Support ServiceNow and Jira access provisioning and troubleshooting
• Serve as an escalation point for technical issues beyond standard IAM workflows
• Ensure system availability and correct configuration across supported platforms
• Operate and improve User Support Systems and Services for all system users
• Fulfill account requests, including onboarding, offboarding, and access requirements
• Design, operate, and maintain a User Support Desk across various security enclaves (IL2/IL5, IL6, JWICS)
• Manage service ticket processes, including categorization, routing, and resolution
• Monitor, track, and report SLA performance measures and Key Performance Parameters (KPPs)

Requirements

• Associate degree or higher from an accredited college or university (or equivalent DoD 8140 training/certifications)
• Minimum of 5 years of experience in system administration or a related field
• Proven experience with ServiceNow and Jira
• Strong understanding of IAM workflows and system configurations
• Experience in user support operations and automation
• Ability to operate across multiple security enclaves (IL2/IL5, IL6, JWICS)
• Active Top Secret clearance

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• TS/SCI clearance
• Experience with cloud environments such as AWS GovCloud, SC2S AWS Secret Region Cloud, and C2S AWS Cloud
• Familiarity with DoD systems and environments
• Experience with AI/ML tools and services

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave and Retirement

About the Company

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, Leidos delivers mission-critical capabilities that enable leaders to make faster, better-informed decisions using trusted data at scale.