A&T Systems is a 40-year-old government contractor managing infrastructure and cloud workloads for federal, state, and DoD agencies. The tech stack reveals a dual operating model: mature infrastructure tooling (Windows, SQL Server, Cisco, Active Directory, ACAS) supporting legacy mission systems, alongside emerging cloud-native data capabilities (Databricks, Apache Airflow, Spark, Redshift, Snowflake, now adopting Iceberg and Delta Lake). Active projects span both worlds—system imaging and DISA STIGS compliance sit alongside medallion architecture data lakehouses—suggesting a org in transition from traditional managed services toward data platform delivery.
A&T Systems operates as an employee-owned small business providing managed IT, telecom, and cloud services to government customers. The company specializes in datacenter operations, cloud infrastructure (AWS, Azure, GCP), telecom lifecycle management, and portal implementations across federal and state agencies. Based in Silver Spring, Maryland, the organization runs 51–200 employees with recent hiring acceleration across engineering and operations roles. Current project work includes system imaging and security compliance (DISA STIGs, ACAS vulnerability remediation), alongside newer data platform initiatives (enterprise data warehouses on AWS, lakehouse architecture). Pain points center on software license compliance, contract performance metrics, and security remediation at scale—typical friction points for orgs managing sprawling government IT estates.
Oracle, SQL Server, MySQL, AWS, Azure, GCP, Databricks, Apache Airflow, Snowflake, Amazon Redshift, Cisco infrastructure, Windows, SharePoint Online, Active Directory, and ACAS scanning tools.
Projects include medallion architecture data lakehouses, enterprise data warehouses on AWS, CI/CD pipeline automation, FHIR API integrations for CMS interoperability, DISA STIGS implementation, and system imaging and security compliance for government customers.
A&T Systems, 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.