Software, systems engineering and program management for federal missions
Avid Technology Professionals is a Columbia, Maryland contractor delivering software engineering, systems integration and acquisition program support to government clients. Its stack pairs Java/Spring Boot and Python/Django development with heavy enterprise backup and storage tooling (NetBackup, Cohesity, Rubrik, Commvault, Nutanix), and it is moving off NetApp. Hiring is overwhelmingly mid- and senior-level engineering, centered on malware analysis modernization and ATO compliance work.
Avid Technology Professionals (ATP) is a privately held firm founded in 2004 and headquartered in Columbia, Maryland, with 51–200 employees. It provides software and systems engineering along with acquisition program management services, primarily for federal government customers, and also targets state government and commercial work. Its practice areas span software development, cybersecurity, systems integration, data science, cloud computing and analytics. Hiring is concentrated in the United States.
ATP's stack includes Java, Spring Boot, Python, Django, Flask, Vue, MongoDB, MariaDB, Docker and AWS, plus storage and backup tools like Veritas NetBackup, Cohesity, Rubrik, Commvault and Nutanix.
Yes. Engineering dominates ATP's open roles, mostly at mid and senior levels, with smaller demand in operations, security and data. All hiring is in the United States, though overall velocity is slowing.
Job posts point to automating security evaluations, continuous monitoring and assessment, modernizing malware enrichment services, a virtual malware containment enclave, and AI tools for code development.
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Avid Technology Professionals'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.