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SciTec Tech Stack

Mission data processing and sensor systems for defense and space

Defense and Space Manufacturing Princeton, New Jersey 201–500 employees Founded 1979 Public Company

SciTec builds real-time sensor data processing systems for U.S. defense and space operations, with a tech stack anchored in Java, Python, C++, Kubernetes, and AWS—indicating a cloud-native, containerized architecture designed for high-availability mission systems. Active hiring is heavily skewed toward senior engineers (17 of 42 open roles) and staff-level technicians, reflecting deep technical problem-solving in low-latency signal processing and algorithm development rather than volume hiring. The organization is grappling with integrating security into development workflows within a DCAA-regulated environment, a constraint that shapes both tooling choices (SonarQube, Keycloak, SCAP compliance scanning) and organizational pain.

Tech Stack 98 technologies

Core StackJava GitLab CI/CD Docker Kubernetes Istio Prometheus Grafana Python SonarQube C++ Helm VMware AWS OpenShift Ansible Docker Compose AWS EKS Keycloak JFrog Artifactory Nexus Grype Syft Dell EMC Unity vSphere Cisco Catalyst 9000 VDI Dell Brocade Red Hat Enterprise Linux SCAP+67 more

What SciTec Is Building

Challenges

  • Low-latency data processing
  • Reducing false positives in security tooling
  • Integrating security into development lifecycle
  • Capturing new business opportunities
  • Scalable hr programs for growth
  • Secure devsecops enablement in regulated environment
  • Integration of multiple components
  • Security and compliance
  • Meeting federal security requirements
  • Improving performance scalability reliability

Active Projects

  • Opir sensor data processing
  • Advanced numerical algorithm development
  • Software development
  • Low-latency data processing pipelines
  • End-to-end signal processing pipelines
  • Next-generation missile warning software
  • Missile defense solution software
  • Coordinating dcaa audits
  • Secure data center network design
  • Network automation and monitoring

Hiring Activity

Accelerating40 roles · 30 in 30d

Department

Engineering
31
Security
4
Finance
2
Ops
2
HR
1
Sales
1

Seniority

Senior
17
Staff
14
Intern
4
Mid
3
Lead
1
Manager
1
Principal
1
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About SciTec

SciTec, a subsidiary of Firefly Aerospace, develops sensor data processing and mission intelligence systems for U.S. and allied military and space agencies. The company operates across three interconnected domains: advanced signal processing (OPIR, missile warning), real-time data pipeline architecture, and secure software delivery in a defense-contracting environment. With 201–500 employees based in Princeton, New Jersey, SciTec integrates sensor physics, algorithm development, and modern software engineering to transform raw sensor data into actionable intelligence. The organization emphasizes government-owned, open-architecture software to reduce vendor lock-in and accelerate integration across multi-domain operations.

HeadquartersPrinceton, New Jersey
Company Size201–500 employees
Founded1979
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does SciTec use?

Java, Python, C++, Kubernetes, Docker, AWS EKS, GitLab CI/CD, Prometheus, Grafana, and Red Hat Enterprise Linux form the core. Security and compliance tooling include SonarQube, Keycloak, and SCAP scanning for DCAA audit requirements.

What is SciTec working on?

OPIR sensor data processing, next-generation missile warning software, low-latency signal processing pipelines, advanced algorithm development, and secure DevSecOps integration for regulated defense environments.

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How this profile is built

SciTec'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.