Federal infrastructure modernization and network engineering for law enforcement
Xpect Solutions delivers infrastructure and network engineering to federal law enforcement agencies, with a deep technical footprint in AWS, Spark-based data pipelines, and Cisco networking. The stack reveals active cloud migration work (AWS Lambda, ECS, RDS, MSK) paired with classical network automation (Ansible, Terraform, BGP, DMVPN), and hiring is heavily tilted toward senior engineering talent — suggesting they're solving complex, multi-enclave compliance and security problems rather than scaling a high-volume service.
Xpect Solutions is a consulting and systems integration firm founded in 2004, headquartered in Fairfax, VA, serving federal law enforcement agencies. The company specializes in network infrastructure, physical security, voice and unified communications, and cloud modernization. Current engagements span network architecture studies, secure cloud data platforms for classified workloads, CI/CD pipeline automation, and AWS infrastructure management. The team navigates federal compliance requirements (Authority to Operate), multi-enclave network topologies, and the operational complexity of maintaining and upgrading legacy systems in high-security environments.
Python, Apache Spark, PySpark, Jenkins, Ansible, Terraform, Vault, AWS (Lambda, ECS, RDS, EBS, MSK, MQ, VPC, CloudWatch), Docker, Red Hat Enterprise Linux, Oracle, PostgreSQL, Amazon RDS, OpenSearch, Cisco routers and BGP/DMVPN.
Multi-enclave enterprise network solutions, secure cloud data platforms for federal workloads, distributed Spark/PySpark data processing pipelines, AWS infrastructure architecture, CI/CD automation, and network deployment optimization.
Xpect Solutions'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.