Engineering services for federal and commercial cloud, security, and signal-processing systems
Wyetech is a 51–200-person engineering services firm founded in 2007, headquartered in Maryland, selling into federal and commercial customers. The stack reveals a heavy systems and infrastructure focus: AWS (EKS, Lambda, EBS), Kubernetes, Terraform, Ansible, plus legacy tools (IBM DOORS, Subversion) and signal-processing libraries. Active hiring (101 open roles, accelerating) is engineering-heavy (68 posts) with a significant research and security skew (10 each), suggesting deep technical intake on behalf of customers rather than a pure product play. Projects span RF/signal integration, cloud deployment, and edge infrastructure, aligned with pain points around network latency and system capacity.
Wyetech provides engineering services across Software Engineering, Systems Engineering, Cloud Engineering, Data Analysis, and Cyber Security for federal and commercial customers. The company operates from Odenton, Maryland and emphasizes quality-controlled hiring and customer-facing technical depth. Core work includes RF and signal-processing systems integration, cloud infrastructure deployment on AWS EKS, on-premise edge systems, database tooling, and technology readiness assessments. The mix of modern cloud-native tools (Kubernetes, Terraform, GitLab CI/CD) alongside legacy systems engineering platforms (IBM DOORS) indicates a customer base spanning modernization and mission-critical infrastructure.
Wyetech uses Bash, Python, Go, AWS (EKS, Lambda, EBS), Kubernetes, Terraform, Ansible, Jenkins, GitLab CI/CD, Jira, Confluence, Hadoop, and Hortonworks Data Platform. Legacy tools include IBM DOORS, Eclipse, and Subversion. Recently adopting Software-Defined Radio capabilities.
Active projects include RF and signal-processing systems integration, cloud infrastructure deployment on AWS EKS, edge infrastructure deployment, database parser software, technology readiness assessments, and data transformation solutions.
Wyetech, LLC'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.