Cyber operations and cloud engineering for defense and intelligence
Constellation Technologies operates as a specialized engineering services firm built around cyber operations, cloud infrastructure, and data analytics—stacks that align with defense and intelligence sector requirements. The hiring mix is heavily weighted toward senior engineers (72 of 75 total technical hires), with a secondary focus on security roles (16 open), suggesting they are scaling specialized IC-sector delivery rather than building consumer-grade products. Active projects reveal a focus on LLM orchestration frameworks, RAG systems, and data migration pipelines, indicating they are experimenting with AI-augmented analysis tools for their government and enterprise customer base.
Constellation Technologies, Inc. (CTI) is a 51–200-person engineering services firm headquartered in Columbia, Maryland, founded in 2008. The company specializes in staffing cyber engineers, cloud integrators, database administrators, and security experts into government and enterprise customer environments. Their three primary service lines are cyber operations (including continuous network monitoring and threat response), cloud and data analytics (infrastructure and migrations), and engineering services (prototype development, system optimization, and emerging technology integration). They hire exclusively within the United States and maintain a senior-weighted workforce, reflecting the compliance and clearance requirements typical of their customer base.
CTI operates a Java/Python/C++ engineering stack on AWS, Kubernetes, and OpenShift, backed by Oracle, PostgreSQL, MongoDB, and Cassandra for data layers. DevOps tooling includes Terraform, Ansible, Prometheus/Grafana, and Red Hat Enterprise Linux at scale.
Current projects include LLM orchestration frameworks for static analysis and RAG systems, data preprocessing pipelines, RAG-specific database architectures, cloud solution development, and performance tuning across analytics platforms.
Constellation Technologies, Inc'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.