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Redhorse Corporation Tech Stack

Government digital transformation and data modernization consultancy

IT Services and IT Consulting Arlington, VA 201–500 employees Founded 2008 Privately Held
redhorsecorp.com LinkedIn

Redhorse is a 201–500-person consulting firm serving federal agencies on data infrastructure and security modernization. Their tech stack—Databricks, Python, PySpark, Kubernetes, AWS—reflects a data-engineering and cloud-native focus; active adoption of GitLab and AWS EKS, combined with migration away from Oracle and Azure DevOps Server, signals movement toward open-source and managed cloud services. Heavy engineering hiring (37 roles) paired with security (18) and data (9) openings shows operational scaling matching their project portfolio of microservices ecosystems, CI/CD pipelines, and next-generation web applications.

Tech Stack 134 technologies

Core StackDatabricks Python Pandas PySpark GitLab Jira C# .NET SQL Server Azure DevOps Selenium Cisco VMware AWS Splunk Amazon EKS Ansible Puppet Java Docker Kubernetes Jupyter Relativity Everlaw Juniper Citrix Azure DevOps Server BigFix Chef Qlik Sense+104 more
AdoptingGitLab Jira AWS Amazon EKS
ReplacingOracle Azure DevOps Server

What Redhorse Corporation Is Building

◆Challenges

  • Ensuring compliance with nispom
  • Migrating backlog to gitlab
  • Zero-downtime availability
  • Security and agility of operations
  • Large-scale collection capabilities
  • Contract execution challenges
  • Driving efficiency in financial reporting
  • Ensuring fiscal accountability across portfolio
  • Modernizing legacy financial systems
  • Modernizing the force

▲Active Projects

  • Ndrr system development
  • Prototype development for cyber modernization
  • Data collection capabilities
  • Multicomponent assessments and experimentation campaign
  • Next-generation web application
  • Condition-based maintenance plus (cbm+) initiatives
  • Microservices ecosystem
  • Building robust ci/cd pipelines with security gates
  • Enhancing fbi’s application development environment
  • Business process review for operational efficiency

Hiring Activity

Accelerating75 roles · 65 in 30d

Department

Engineering
37
Security
18
Data
9
Ops
4
Finance
2
Sales
2
Design
1

Seniority

Senior
50
Mid
16
Lead
3
Junior
2
Intern
1
Manager
1

Notable leadership hires: Chief Architect

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About Redhorse Corporation

Redhorse combines government domain expertise with digital transformation and AI to help federal clients modernize mission-critical systems. Founded in 2008 and headquartered in Arlington, VA, the firm operates across national security, networking technology, and infrastructure—with specialization in energy efficiency and environmental sustainability systems. Current work includes cyber modernization prototypes, data collection capabilities, condition-based maintenance initiatives, and FBI application environment modernization. All hiring is U.S.-based; the company is privately held.

HeadquartersArlington, VA
Company Size201–500 employees
Founded2008
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Redhorse Corporation use?

Redhorse uses Databricks, Python, PySpark, Kubernetes, AWS, Docker, GitLab, and Jira as core tools. They also deploy Splunk, Cisco, Juniper, Azure, and Qlik Sense. They are actively adopting AWS and Amazon EKS while migrating off Oracle and Azure DevOps Server.

What is Redhorse Corporation working on?

Current projects include microservices ecosystems, CI/CD pipeline security, cyber modernization prototypes, FBI application modernization, data collection scaling, and condition-based maintenance initiatives for federal clients.

How this profile is built

Redhorse 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.