Defense contractor specializing in cybersecurity, systems engineering, and mission IT
Synergy ECP builds mission-critical systems for defense and intelligence agencies, with a heavy engineering focus—84 of 123 open roles are engineering-track positions. The tech stack reflects both legacy infrastructure work (Oracle, Unix, Hadoop, TIBCO EMS) and forward motion into containerization and ML (adopting Kubernetes, SageMaker, Azure ML while deprecating Oracle), suggesting active modernization of customer networks. Active projects span network design, MBSE cloud platforms, and security automation, while pain points cluster around legacy infrastructure maintenance and compliance—indicating the customer base relies on them to bridge old and new systems under strict regulatory constraints.
Synergy ECP is a defense and intelligence contractor founded in 2007, headquartered in Columbia, Maryland, with 201–500 employees. The company delivers cybersecurity, systems engineering, mission IT, and special programs support to U.S. government agencies. Their work spans network infrastructure (LAN design, high-speed topologies), data systems (transport, legacy data migration), security architecture, RF communications, and CI/CD tooling for classified environments. The organization is engineering-heavy and actively hiring across technical roles, with a seniority distribution weighted toward senior and mid-level staff—typical of a services firm scaling delivery capacity.
Synergy ECP uses TIBCO EMS, Kafka, Oracle, Unix, C++, Python, Java, Spring, AWS, and PostgreSQL. The company is adopting Kubernetes, SageMaker, and Azure ML, and is deprecating Oracle.
Active projects include model-based systems engineering cloud platforms, LAN network design, enterprise data transport, security automation, RF communications solutions, and CI/CD tooling for classified environments.
Synergy ECP'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.