SOC Dashboard Integration Specialist
Budget: $30 – $250 USD
Description:
We are seeking a highly experienced full-stack developer with cybersecurity expertise to finalize and fully integrate a professional-grade SOC 360 dashboard. This is an enterprise-level project, and only candidates with proven experience in security operations dashboards and integrations should apply.
The frontend is already developed in Next.js with dummy data. Your task is to connect it with real-time threat intelligence and security operations infrastructure, and deploy it on a Raspberry Pi 4.
Scope of Work:
Integration Responsibilities
Connect and ingest logs from:
Wazuh (SIEM & XDR)
Suricata (IDS/IPS)
DFIR IRIS (Incident Response & Case Management)
Build secure backend (Python FastAPI/Flask preferred) to bridge frontend with:
Wazuh RESTful API
Suricata JSON outputs
IRIS APIs
Forensics tools (e.g. Velociraptor, Autopsy)
Integrate Groq API for AI-powered chatbot functionality, enabling:
Natural language threat investigation
Log querying and alert classification
Case automation and recommendations
Feature Development
Fully working ticketing system within the dashboard for incident lifecycle
Visualization of:
Malware, threat actor, and attack type trends
Incident resolution timeline
Case analytics from DFIR IRIS
Embedded AI assistant (like an AI SOC Analyst) for:
Threat intelligence
Incident triage
Playbook suggestions
Optional integration with Shuffle for automation workflows
Tech Stack:
Frontend: Next.js, Tailwind/Chakra UI (already built)
Backend: Python (FastAPI or Flask preferred), secure REST APIs
Integrations: Wazuh, Suricata, DFIR IRIS, Groq, Docker
Deployment: Raspberry Pi (ARM64), Docker Compose
Forensics Tools: Velociraptor (preferred), Autopsy, Plaso, or others
Requirements:
Proven experience integrating Wazuh, Suricata, and DFIR IRIS
Demonstrated projects in cybersecurity dashboards or SOC tools
Experience with AI API integration (preferably Groq)
Proficient with Python-based backend development
Comfortable working with Docker on ARM64 (Raspberry Pi)
Ability to independently deliver a production-ready dashboard
Deliverables:
Fully integrated and working SOC dashboard
Real-time alerts, threat dashboards, and AI assistant functionality
Functional ticketing and forensic modules
Raspberry Pi deployment image or Docker Compose setup
Complete documentation (API usage, deployment, configurations)
Budget:
$70 to $80 (fixed)
Important:
This is not a beginner-level or experimental project. Only apply if you have previous experience in cybersecurity tool integration and building dashboards. Candidates without relevant portfolio or hands-on experience will not be considered.
We are seeking a highly experienced full-stack developer with cybersecurity expertise to finalize and fully integrate a professional-grade SOC 360 dashboard. This is an enterprise-level project, and only candidates with proven experience in security operations dashboards and integrations should apply.
The frontend is already developed in Next.js with dummy data. Your task is to connect it with real-time threat intelligence and security operations infrastructure, and deploy it on a Raspberry Pi 4.
Scope of Work:
Integration Responsibilities
Connect and ingest logs from:
Wazuh (SIEM & XDR)
Suricata (IDS/IPS)
DFIR IRIS (Incident Response & Case Management)
Build secure backend (Python FastAPI/Flask preferred) to bridge frontend with:
Wazuh RESTful API
Suricata JSON outputs
IRIS APIs
Forensics tools (e.g. Velociraptor, Autopsy)
Integrate Groq API for AI-powered chatbot functionality, enabling:
Natural language threat investigation
Log querying and alert classification
Case automation and recommendations
Feature Development
Fully working ticketing system within the dashboard for incident lifecycle
Visualization of:
Malware, threat actor, and attack type trends
Incident resolution timeline
Case analytics from DFIR IRIS
Embedded AI assistant (like an AI SOC Analyst) for:
Threat intelligence
Incident triage
Playbook suggestions
Optional integration with Shuffle for automation workflows
Tech Stack:
Frontend: Next.js, Tailwind/Chakra UI (already built)
Backend: Python (FastAPI or Flask preferred), secure REST APIs
Integrations: Wazuh, Suricata, DFIR IRIS, Groq, Docker
Deployment: Raspberry Pi (ARM64), Docker Compose
Forensics Tools: Velociraptor (preferred), Autopsy, Plaso, or others
Requirements:
Proven experience integrating Wazuh, Suricata, and DFIR IRIS
Demonstrated projects in cybersecurity dashboards or SOC tools
Experience with AI API integration (preferably Groq)
Proficient with Python-based backend development
Comfortable working with Docker on ARM64 (Raspberry Pi)
Ability to independently deliver a production-ready dashboard
Deliverables:
Fully integrated and working SOC dashboard
Real-time alerts, threat dashboards, and AI assistant functionality
Functional ticketing and forensic modules
Raspberry Pi deployment image or Docker Compose setup
Complete documentation (API usage, deployment, configurations)
Budget:
$70 to $80 (fixed)
Important:
This is not a beginner-level or experimental project. Only apply if you have previous experience in cybersecurity tool integration and building dashboards. Candidates without relevant portfolio or hands-on experience will not be considered.
Related categories:
PHP
Python
Computer Security
Docker
Flask
Data Visualization
API Development
Next.js
FastAPI
REST API