Mission-critical software and data platforms for DoD with cloud-native infrastructure
Enlighten builds big-data and cyber solutions for the Department of Defense using Kubernetes, AWS EKS, Kafka, and Python across a lean, senior-heavy engineering org. The tech stack (Kubernetes, container orchestration via Rook/Longhorn, stream processing with Kafka and Trino) paired with active projects around edge deployment, cloud modernization, and foundational AI integration suggests a company scaling from on-premise defense infrastructure toward hybrid cloud and autonomous threat detection—aligning with documented pain points around manual threat hunting and operationalizing cyber capabilities.
Enlighten is a mission-focused software and systems engineering firm serving the Department of Defense from Columbia, Maryland. The company specializes in cloud-native big-data platforms, cyber operations, and AI/ML integration, with deep expertise in AWS infrastructure, Kubernetes orchestration, and DevOps automation. Current work spans analytics platform adoption, deployment automation, edge infrastructure, and cyber analytics product development. The org is 51–200 employees with 64 open roles, majority at senior level, concentrated in engineering—indicating active scaling of technical delivery capacity for complex, security-first systems.
AWS is the primary cloud provider. Tech stack includes AWS EKS (managed Kubernetes), EC2, and supporting services. Complementary infrastructure includes Kubernetes, Docker, Ceph, and container orchestration via Rook and Longhorn.
Active projects include big-data platform analytics adoption, deployment automation, foundational AI integration frameworks, edge infrastructure on-premise, cloud infrastructure in AWS EKS, cyber analytics product development, and model context protocol servers.
Enlighten's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.