IT staffing and talent solutions with infrastructure modernization expertise
CPS is a 46-year-old IT staffing firm pivoting toward infrastructure modernization. Their tech stack reveals a data-engineering and cloud operations focus (Python, Airflow, Dagster, Prefect across AWS/GCP/Azure, plus Kubernetes and Terraform) that goes well beyond traditional recruitment. Active projects span network migrations (Juniper→Arista), cloud infrastructure, CI/CD, and data pipelines for AI—signaling they're moving from pure staffing into managed services and internal delivery, not just placement.
Commercial Programming Systems connects mid-market and enterprise organizations with IT professionals and consultants across contract, contract-to-hire, and direct-hire models. Founded in 1978 and based in Los Angeles, the firm operates across software development, infrastructure, and project management domains. Their current work includes clinic network refreshes, solar project execution, cloud infrastructure buildouts, and a migration away from Juniper-based networking toward Arista. The 51–200-person team is engineering-focused with active hiring in operations, reflecting internal capability-building alongside traditional staffing.
Python, Airflow, Dagster, Prefect, AWS, GCP, Azure, Kubernetes, Terraform, Docker, PostgreSQL, Kafka, and React. They're also actively migrating from Juniper Networks infrastructure to Arista switches.
Network refreshes, data pipelines for AI models, cloud infrastructure setup, CI/CD and monitoring, Juniper-to-Arista switch migration, and solar projects (commercial PV, new construction, and retrofits).
Other companies in the same industry, closest in size
Commercial Programming Systems'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.