AI-driven IT operations platform for hybrid cloud and distributed infrastructure
ScienceLogic operates a hybrid-cloud monitoring and AIOps platform built on Kubernetes, Terraform, and AWS infrastructure. The tech stack reveals a mature, distributed engineering org: Kubernetes and Infrastructure-as-Code tools dominate, paired with comprehensive testing (Selenium, Cypress, Playwright, Cucumber) and CI/CD (Jenkins). Hiring is sales-led (14 sales roles vs. 9 engineering) with a sharp focus on senior hires (22 of 34 open roles), suggesting channel/partner expansion and deal complexity over new product development.
Notable leadership hires: QA Lead
ScienceLogic provides AI-powered observability and automation for IT operations teams managing hybrid cloud and on-premises infrastructure. Founded in 2003 and headquartered in Reston, Virginia, the company serves mid-market and enterprise customers navigating complex, distributed IT environments. The platform ingests monitoring data across cloud providers (AWS, Azure, GCP) and legacy systems (VMware vCenter), applies relationship mapping and AI to surface root causes, and automates remediation through integrations. Current work spans platform modernization (Skylar platform initiatives), new SaaS AI product development, partner enablement, and proof-of-concept execution—indicating a shift toward channel-driven growth and product line expansion.
ScienceLogic uses Kubernetes, Terraform, CloudFormation, and AWS CDK for infrastructure; Python, Bash, and Perl for backend logic; and Selenium, Cypress, and Playwright for QA automation. Jenkins manages CI/CD pipelines.
Active initiatives include Skylar platform modernization, a new AI product in SaaS, joint solution development with partners, proof-of-concept execution, product launch planning, and sales enablement collateral—signaling product diversification and channel expansion.
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