Leidos is seeking a
Senior ScienceLogic Skylar 1/SL1 Engineer to design, deploy, configure, and transition to operations an enterprise ScienceLogic SL1 monitoring solution supporting a distributed, classified Department of Defense (DoD) environment.
The successful candidate will serve as a primary technical engineer for implementation of the Skylar 1 (formerly SL1) platform, including deployment of the core Skylar 1/database infrastructure within a Microsoft Azure cloud environment and distributed Skylar 1 Data Collectors across multiple geographically separated sites.
This position requires strong ScienceLogic engineering experience combined with knowledge of Azure infrastructure, enterprise networking, Windows and Linux systems, cybersecurity, and monitoring architecture. The engineer will work closely with cloud, network, cybersecurity, systems engineering, and site operations teams to establish secure connectivity between the centralized SL1 platform and distributed monitored environments.
The engineer will support the solution through design, implementation, testing, accreditation, deployment, documentation, and transition to steady-state operations.
Clearance Requirements- U.S. Citizenship required.
- Active Secret clearance required, with eligibility to obtain the level of access required for the classified environment.
- Must meet applicable DoD cybersecurity workforce qualification requirements for the position.
Primary ResponsibilitiesScienceLogic Skylar 1 Architecture and Deployment- Design, engineer, deploy, configure, and document an enterprise ScienceLogic Skylar 1 architecture supporting a classified, geographically distributed environment.
- Implement and configure Skylar 1 core platform components within Microsoft Azure, including database, administration, monitoring, and supporting platform services.
- Design and deploy distributed Skylar 1 Data Collectors across multiple remote sites and network enclaves.
- Develop collector placement and sizing strategies based on device population, network topology, bandwidth, latency, security boundaries, and availability requirements.
- Configure secure communications between distributed collectors and centralized Skylar 1 platform components.
- Configure Skylar 1 discovery processes and onboard network devices, servers, virtual infrastructure, applications, and other enterprise technology components.
- Configure and maintain ScienceLogic PowerPacks, Dynamic Applications, device classes, credentials, monitoring policies, thresholds, events, dashboards, and reports.
- Develop customized monitoring, alerting, dashboards, and reporting to meet operational and cybersecurity requirements.
- Establish appropriate monitoring thresholds and key performance indicators (KPIs) for enterprise infrastructure.
- Support Skylar 1 software installation, upgrades, patches, migrations, backup, recovery, and lifecycle management.
- Perform capacity planning and performance tuning of SL1 platform components.
Azure and Cloud Integration- Work with Azure engineering teams to design and deploy Skylar 1 infrastructure within the approved classified Azure environment.
- Evaluate availability, resiliency, backup, recovery, and disaster recovery requirements for the SL1 platform.
- Support integration of Skylar 1 with Azure-hosted and on-premises infrastructure.
Enterprise Monitoring and Integration- Configure monitoring using appropriate protocols and technologies, including SNMPv3, ICMP, HTTPS/API, SSH, WMI/WinRM, and other approved mechanisms.
- Coordinate with network and cybersecurity teams to establish required firewall rules, routing, ACLs, service accounts, certificates, and communications paths.
- Integrate Skylar 1 with enterprise IT service management, SIEM, automation, notification, and reporting platforms as required.
- Assist with the development of dashboards and reports supporting NOC, SOC, engineering, management, and customer requirements.
Documentation ResponsibilitiesDevelop and maintain engineering and operational documentation, including:
- Skylar 1 system architecture diagrams
- Azure deployment architecture
- Data Collector architecture and site mappings
- Network and data-flow diagrams
- Port, protocol, and firewall requirements
- Installation and configuration procedures
- Discovery and device onboarding procedures
- Monitoring standards and threshold definitions
- PowerPack and Dynamic Application configurations
- Backup and recovery procedures
- Disaster recovery procedures
- System administration procedures
- Troubleshooting guides
- Standard operating procedures (SOPs)
- System Security Plan/RMF supporting artifacts
- As-built documentation
- Operations transition documentation
Required Qualifications- Bachelor's degree in Computer Science, Information Technology, Engineering, Cybersecurity, or related technical discipline with 12+ years of relevant experience. Additional relevant experience may be considered in lieu of a degree.
- 3+ years of hands-on ScienceLogic Skylar 1/SL1 engineering or administration experience, including deployment and configuration of SL1 platform components.
- Demonstrated experience deploying and administering ScienceLogic Data Collectors in distributed enterprise environments.
- Experience with Skylar 1/SL1 device discovery, PowerPacks, Dynamic Applications, monitoring policies, thresholds, events, dashboards, and reporting.
- Experience troubleshooting ScienceLogic platform, collector, database, discovery, and communications issues.
- Experience supporting large enterprise infrastructure monitoring environments.
- Working knowledge of Microsoft Azure infrastructure, including virtual machines, networking, storage, security controls, and identity.
- Strong understanding of enterprise networking concepts, including TCP/IP, routing, DNS, firewalls, VLANs, network segmentation, ports, protocols, and access control.
- Experience with monitoring technologies and protocols such as SNMPv3, ICMP, REST APIs, HTTPS, SSH, WMI/WinRM, and Syslog.
- System Admin experience with both Linux and Windows Server operating systems.
- Experience supporting cybersecurity hardening, vulnerability remediation, and DISA STIG implementation.
- Strong troubleshooting and analytical skills with the ability to isolate problems spanning application, database, operating system, cloud, and network layers.
- Ability to develop detailed engineering documentation, implementation procedures, diagrams, and operational documentation.
- Ability to communicate complex technical concepts to engineering teams, cybersecurity personnel, program leadership, and government customers.
- Ability to work independently and collaboratively within geographically distributed engineering teams.
- Ability to work at Ft. Meade as a primary work site
- Ability to travel to customer and remote sites as required.
Preferred Qualifications- 5+ years of ScienceLogic Skylar 1 /SL1 experience in large enterprise environments.
- Experience designing or deploying ScienceLogic in environments containing multiple geographically distributed Data Collectors.
- Experience implementing Skylar 1 within Azure or another cloud environment.
- Experience supporting Azure Government or classified Azure environments.
- Experience with ScienceLogic architecture, database sizing, capacity planning, high availability, backup, and disaster recovery.
- Experience creating or modifying ScienceLogic PowerPacks and Dynamic Applications.
- Experience with Python, PowerShell, REST APIs, Ansible, or other infrastructure automation technologies.
- Experience integrating SL1 with ITSM platforms such as ServiceNow.
- Experience integrating monitoring platforms with SIEM solutions such as Splunk.
- Experience monitoring Palo Alto, Cisco, Nutanix, Microsoft, Red Hat, storage, virtualization, and other enterprise infrastructure technologies.
- Experience with DoD RMF, eMASS, DISA STIGs, and continuous monitoring.
- Experience developing engineering implementation plans, test plans, SOPs, runbooks, and as-built documentation.
- Experience working within DoD or other classified government environments.
Desired CertificationsRelevant certifications may include:
- ScienceLogic Certified Professional, ScienceLogic Certified Expert, or other current equivalent ScienceLogic SL1 certification
- Microsoft Certified: Azure Administrator Associate
- Microsoft Certified: Azure Network Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- CompTIA Security+
- CompTIA Network+
- Red Hat Certified System Administrator (RHCSA)
- Cisco CCNA or CCNP Enterprise
- ITIL Foundation
Key Success FactorsThe ideal candidate is not simply an SL1 console administrator. The position requires an engineer capable of
building the monitoring platform from the ground up, understanding how SL1 components communicate across a segmented classified network, working with Azure and network engineering teams to establish the required infrastructure, and delivering a secure, supportable platform that can be transitioned to operations.
The successful engineer will be comfortable troubleshooting issues across
SL1, Azure, Linux, Windows, databases, routing, firewalls, authentication, certificates, APIs, and monitoring protocols rather than treating SL1 as an isolated application.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:October 13, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
