Blockchain Service Firm

Overview

Operating as a Lead DevOps Engineer for high-visibility Web3 and blockchain entities, the focus was absolutely on maintaining bulletproof reliability across distributed ledgers and blockchain nodes while handling massive global transaction volumes. The infrastructure supported multiple blockchain implementations (miners, validators, RPC nodes) with zero tolerance for chain forks, data inconsistency, or node synchronization failures.

Blockchain Infrastructure & Monitoring

The blockchain infrastructure encompassed specialized node types distributed geo-redundantly across AWS regions: Miner Nodes (block production), BFT (Byzantine Fault Tolerance) Nodes (consensus participation), RPC Nodes (public API endpoints for DApp developers), Wallet Nodes (transaction signing and key management), and Scan Nodes (blockchain indexing and historical data). Supporting microservices were orchestrated using massive AWS ECS Fargate clusters for auto-scaling, while security monitoring was powered by CrowdStrike for endpoint protection and Zabbix for granular infrastructure monitoring. Real-time application performance monitoring via New Relic provided forensic-level visibility into chain performance metrics.

Key Responsibilities & Impact

• Architected multi-region blockchain node infrastructure with specialized roles (Miner Nodes, BFT Nodes, RPC nodes, Wallet nodes, Scan Nodes) distributing them geo-redundantly across AWS regions to prevent single points of failure.
• Managed massive AWS ECS and Fargate clusters orchestrating 50+ supporting microservices with auto-scaling policies responsive to real-time blockchain transaction volumes.
• Implemented extreme security monitoring and compliance leveraging CrowdStrike endpoint protection, intrusion detection, and threat prevention to defend against sophisticated blockchain attacks.
• Deployed granular infrastructure monitoring via Zabbix with custom plugins for blockchain node health, consensus participation rates, block propagation latency, and peer connectivity metrics.
• Established rigorous CI/CD pipeline automation using GitLab CI supporting zero-downtime node updates, version rollouts, and emergency rollback procedures for critical security patches.
• Engineered New Relic APM integration for forensic-level application performance monitoring capturing transaction latencies, smart contract execution times, and microservice interdependencies.
• Ensured maximum data resilience with DocumentDB (MongoDB-compatible), Redis clusters, and MySQL configured for multi-AZ replication with continuous backup and point-in-time recovery.
• Implemented node synchronization safeguards with automated detection and remediation of chain fork scenarios, preventing consensus-breaking scenarios.