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Boeing Intelligence & Analytics Tech Stack

Defense analytics and RF signal processing for the Intelligence Community

Defense and Space Manufacturing Annapolis Junction, MD 201–500 employees Founded 2016 Privately Held

Boeing Intelligence & Analytics builds software and systems for U.S. intelligence agencies, with deep focus on RF signal processing, analytics pipelines, and hardware-software integration. The stack reflects a mature defense contractor: C++, Python, Java running on AWS with Kubernetes orchestration, paired with specialized tooling (FPGA, DoDAF, IBM DOORS, SysML) for classified environments. Engineering dominates hiring (30 of 36 roles), with mid-to-senior seniority split, signaling active scaling of core development teams rather than rapid headcount growth.

Tech Stack 41 technologies

Core StackActive Directory Jira Confluence Python C++ Java JavaScript PostgreSQL AWS Docker Kubernetes Nginx Elastic Stack GitLab Prometheus Grafana CloudWatch Terraform Ansible CloudFormation Visio DoDAF HAProxy Microsoft Project IBM DOORS SysML VPC AWS Direct Connect VLAN VXLAN+11 more

What Boeing Intelligence & Analytics Is Building

Challenges

  • Backup and disaster recovery planning
  • Affordability
  • System security
  • Improving system efficiency
  • Network performance bottlenecks
  • Security threats and malware protection
  • Balancing data volume and performance trade-offs
  • Protecting information to meet security requirements
  • Program award uncertainty
  • Complex solutions in challenging environments

Active Projects

  • Integration of new and legacy software across hardware
  • Rf signal processing applications
  • System upgrades and migrations
  • Backup and disaster recovery strategies
  • Analytics and visualization tools
  • System performance monitoring automation
  • Cutting edge development programs
  • System architecture development to meet program requirements
  • Security measures implementation
  • Rf signal processing testing

Hiring Activity

Accelerating35 roles · 30 in 30d

Department

Engineering
30
Ops
3
Data
2
Security
1

Seniority

Mid
16
Senior
10
Junior
8
C-Level
1
Lead
1

Notable leadership hires: Chief Architect

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About Boeing Intelligence & Analytics

Boeing Intelligence & Analytics, founded in 2016 and headquartered in Annapolis Junction, Maryland, is a subsidiary of Boeing Defense, Space and Security serving the U.S. Intelligence Community. The organization spans 201–500 employees focused on advanced analytics, RF signal processing, systems integration, and embedded/FPGA development. Active projects center on integrating legacy and new software stacks, RF application testing, system migrations, disaster recovery, and security hardening. The company faces recurring operational challenges around backup/recovery planning, network bottlenecks, security compliance, and data volume management in resource-constrained environments.

HeadquartersAnnapolis Junction, MD
Company Size201–500 employees
Founded2016
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Boeing Intelligence & Analytics use?

C++, Python, Java, PostgreSQL, AWS (including Direct Connect, VPC, CloudFormation), Kubernetes, Docker, Terraform, Ansible, Elastic Stack (Prometheus, Grafana, CloudWatch), plus defense-specific tools: DoDAF, IBM DOORS, SysML, and FPGA development frameworks.

What is Boeing Intelligence & Analytics working on?

RF signal processing applications, hardware-software integration, system migrations and upgrades, disaster recovery strategies, analytics and visualization tools, system performance monitoring automation, and security measures implementation for intelligence mission programs.

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How this profile is built

Boeing Intelligence & Analytics'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.