← CarreiraAI
Indeed
Remoto
Principal ScienceLogic Skylar 1/SL1 Engineer
Leidos · Flexible / Remote
Publicada em 29/10/2026
Candidatar-se com o CarreiraAI →
Description Leidos is seeking a Principal 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 RequirementsU.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 DeploymentDesign, 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 strategie
Candidatar-se com o CarreiraAI →