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Caelum Research Corporation Tech Stack

Applied sciences and systems engineering for government and defense

IT Services and IT Consulting Rockville, Maryland 51–200 employees Founded 1987 Privately Held
caelum.com LinkedIn

Caelum Research is a 51–200-person services firm built around infrastructure operations, security, and engineering for government clients. The tech stack—Active Directory, VMware, Elastic Stack, SQL Server, Azure—reflects a heavy focus on on-premises and hybrid infrastructure management. Active hiring in ops, security, and engineering (with 5 senior and 3 lead roles posted in the last 30 days) signals scaling of centralized logging, high-availability systems, and patch management, while concurrent work on CMMC Level 3 certification and RMF artifact modernization indicates deep compliance-led delivery.

Tech Stack 39 technologies

Core StackActive Directory VMware Elastic Stack Python SQL Server Ruby Group Policy PowerShell Bash Cisco UCS Commvault NetApp vSAN ACAS McAfee Trellix WSUS VMware vCenter VMware vSphere Perl TCP/IP vCenter Server VMware Horizon DNS DHCP iSCSI NFS VMFS Azure Active Directory Federation Services+9 more

What Caelum Research Corporation Is Building

◆Challenges

  • Maintaining ato compliance
  • Maintaining mission-critical systems
  • Ensuring security compliance
  • Automating deployment
  • Maintaining highly secure and available systems
  • Ensuring data consistency and rapid recovery
  • Maintaining and improving web sites
  • Detecting unauthorized network activity
  • Responding to cybersecurity incidents
  • Compliance analysis and remediation

▲Active Projects

  • Centralized logging & analytics (elastic stack)
  • High-availability infrastructure
  • Automation & deployment
  • Implementing and maintaining services and protocols
  • Building ai tools for automation
  • Developing ml-based recommendation engines
  • Modernization project rmf artifacts
  • Patch management operations
  • Cmmc level 3 certification

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Ops
3
Security
3
Engineering
2
Support
2

Seniority

Senior
5
Lead
3
Manager
2

Notable leadership hires: Server Lead

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About Caelum Research Corporation

Caelum Research Corporation, founded in 1987 and headquartered in Rockville, Maryland, provides applied sciences, information technology, and systems engineering services to government and private-sector clients. The company operates infrastructure and security operations for mission-critical systems, managing on-premises and hybrid environments across virtualization (VMware, Cisco UCS), storage (NetApp, vSAN), and compliance tooling (ACAS, Trellix). Current project work spans centralized logging via Elastic Stack, high-availability infrastructure, deployment automation, patch management, and AI-driven tooling for anomaly detection and recommendation engines. The firm operates under strict compliance regimes including ATO and CMMC frameworks.

HeadquartersRockville, Maryland
Company Size51–200 employees
Founded1987
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Caelum Research use?

VMware (vSphere, vCenter, Horizon), Active Directory, Elastic Stack, SQL Server, NetApp, Cisco UCS, Azure, McAfee/Trellix, Commvault, ACAS, PowerShell, Python, Bash, Perl, Ruby. Infrastructure-centric across virtualization, storage, security, and logging.

What is Caelum Research working on?

Centralized logging and analytics (Elastic Stack), high-availability infrastructure, deployment automation, patch management, CMMC Level 3 certification, RMF modernization, and AI/ML tools for network anomaly detection and recommendation engines.

How this profile is built

Caelum Research Corporation'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.