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NetCentrics Tech Stack

Cybersecurity and data platform solutions for U.S. federal agencies

IT Services and IT Consulting Herndon, VA 51–200 employees Founded 1995 Privately Held

NetCentrics builds cybersecurity, cloud, and data/AI infrastructure for federal government missions. The tech stack—Palantir Foundry, Kafka, Spark, Kubernetes, AWS/Azure/GCP, plus ServiceNow and Confluence—reflects a systems integrator focused on mission-critical analytics and operational data pipelines. Active projects center on Palantir Maven integration, real-time analytics, and ML-into-operations workflows, while hiring is engineering-heavy (7 of 8 open roles) at senior and lead levels, signaling growth in platform architecture and integration depth.

Tech Stack 31 technologies

Core StackServiceNow Confluence WordPress Kubernetes AWS Python Java Scala Go TypeScript Docker Apache Spark Kafka Terraform AutoCAD Cisco DLP Azure Palantir Foundry Apollo GCP OTDR Fluke Visio Crestron Biamp Tesira Q-SYS Polycom Biamp
AdoptingRAG

What NetCentrics Is Building

Challenges

  • Mission-critical operations
  • Design integration implementation sustainment of av vtc systems
  • Manual demand intake process
  • Manual project lifecycle management
  • Poor cross-platform collaboration
  • Integrating machine learning into mission systems
  • Designing scalable architectures for data pipelines
  • Ensuring system security and performance
  • Supporting federal mission priorities
  • Deploying ai securely in federal environments

Active Projects

  • Palantir maven smart system platform integration
  • End-to-end bi request intake workflow
  • Servicenow-confluence-wordpress integration
  • Project milestone publishing to wordpress
  • Distributed mission systems architecture
  • Real-time analytics platform development
  • Advanced analytics capabilities within palantir maven smart system
  • Scalable data pipelines for multi-source intelligence data
  • Integration of machine learning models into operational workflows
  • Data pipeline development

Hiring Activity

Accelerating8 roles · 8 in 30d

Department

Engineering
7
Ops
1

Seniority

Senior
4
C-Level
1
Junior
1
Lead
1
Mid
1

Notable leadership hires: Chief Architect

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About NetCentrics

NetCentrics is a federal government technology contractor headquartered in Herndon, VA, with 51–200 employees. Founded in 1995, the company specializes in cybersecurity, cloud security, cloud migrations, and data/AI solutions for U.S. government agencies. Core competencies include computer network defense, cyber advisory services, and staff augmentation. The product roadmap is anchored in Palantir Foundry deployments, enterprise data pipelines (Kafka, Spark, Terraform), and integration of machine learning into operational workflows—all under strict security and federal compliance constraints. Internally, the company is addressing manual intake and project-lifecycle bottlenecks, particularly around cross-platform collaboration and scalable data architecture for multi-source intelligence.

HeadquartersHerndon, VA
Company Size51–200 employees
Founded1995
Hiring MarketsUnited States

Frequently Asked Questions

What technology stack does NetCentrics use?

Palantir Foundry, Kafka, Apache Spark, Kubernetes, AWS/Azure/GCP, ServiceNow, Confluence, Python, Java, Terraform, and DLP. Recently adopting RAG for retrieval-augmented generation workflows.

What is NetCentrics working on?

Palantir Maven Smart System integration, real-time analytics platforms, scalable data pipelines for multi-source intelligence, machine learning integration into operational workflows, and ServiceNow-Confluence-WordPress workflow automation for mission systems.

How this profile is built

NetCentrics'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.