Government cybersecurity and enterprise IT solutions provider
ARSIEM is a 51–200-person government contractor built around cybersecurity and enterprise systems. The tech stack—Java, Python, C++, Kubernetes, Kafka, Elasticsearch, and Oracle—reflects a mature, layered architecture for large-scale government workloads. Active projects span RAG systems, LLM orchestration, mobile cyber platforms, and cloud networking, while hiring is heavily skewed toward security (38 roles) and engineering (37 roles), mostly senior-level—a pattern typical of contractors scaling mission-critical infrastructure under sustained government demand.
ARSIEM Corporation, founded in 2013 and headquartered in Baltimore, Maryland, serves U.S. government agencies with enterprise IT solutions, applications development, embedded software, and cybersecurity services. The company operates across enterprise architecture, software test and evaluation, and engineering specialties. Current workload includes network infrastructure support, device acquisition and analytics, mobile platforms for cyber operations, and cloud networking—all pointing toward both defensive (vulnerability identification, threat detection) and intelligence-focused (data preprocessing, metadata analysis) mission work. The organization is actively hiring across security and engineering, primarily at senior and mid levels.
Java, Python, C++, Kubernetes, Kafka, Elasticsearch, Oracle, AWS, Docker, Terraform, Ansible, Angular, Spring Boot, and others. The stack spans backend services, containerization, cloud infrastructure, and data processing.
Projects include RAG architecture databases, LLM orchestration frameworks, mobile cyber mission platforms, device acquisition and analytics, cloud networking solutions, and enterprise service prototypes—alongside infrastructure support and data automation tools.
ARSIEM Corporation'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.