eBPF-Based Container Security Dataset Collection - Kubernetes & Security Expert Needed

I’m looking for an experienced DevOps/Security Engineer to collect a comprehensive container security dataset for academic research. This is a fixed-price contract with milestone-based payments over 6-8 weeks.

• 1. Infrastructure
• Kubernetes cluster (Infrastructure-as-Code)
• eBPF monitoring (Falco/Tetragon)
• Prometheus + Grafana
• Logging infrastructure
• 2. Workloads & Attacks
• Production-like workloads (web apps, databases, microservices)
• 10+ attack scripts (container escape, cryptojacking, network attacks, etc.)
• Attack orchestration framework
• Traffic generation scripts
• 3. Data Collection
• 30 days of raw data (60-130 GB)
• eBPF logs (system calls, network, files, security events)
• Prometheus metrics (CPU, memory, network, disk)
• Kubernetes events
• 4. Data Processing
• Processed and labeled dataset (10-20 GB)
• Automated labeling scripts
• Feature engineering scripts
• Data quality report
• 5. Automation & Handover
• One-command infrastructure deployment
• Automated workload deployment
• Automated attack execution
• Automated data collection and processing
• ML experiment runner framework
• Complete documentation (7 guides: README, SETUP, OPERATIONS, TROUBLESHOOTING, API_REFERENCE, METHODOLOGY, DATA_DICTIONARY)
• 2-hour handover session + screen recording
• 2 weeks post-delivery support
• See attached 40-page PDF for complete technical specification.