Tech Lead, Hexagate
Chainalysis is the blockchain data platform.
About Chainalysis
Chainalysis offers a blockchain data platform that utilizes sophisticated machine learning and proprietary architecture to handle extensive clustering heuristics, ingest data at scale, and ensure high data accuracy. The platform supports new blockchains and standard tokens automatically, providing comprehensive industry coverage. It simplifies tracing fund flows through complex transactions like bridges, mixers, and DEX swaps. The data provided by Chainalysis is court-admissible and has been instrumental in legal actions. The company provides global, 24/7 support with localized guidance and expertise in various threat typologies and advanced investigative techniques. Through its R&D initiative, Chainalysis Labs, the company continues to innovate and introduce new, unique features and capabilities in blockchain intelligence.
Skills
About the Role
You'll join the Hexagate team to help build a real-time on-chain detection and response platform that combines ML-driven threat intelligence, custom detections, and an LLM-powered rules engine to protect on-chain assets. You'll set direction for a core area such as pipelines, the detection platform, response, or LLM systems, owning architecture, roadmap execution, and technical quality. You'll design high-throughput ingestion, normalization, enrichment, and routing systems for multi-chain activity, and evolve detection engines across a monitoring DSL, statistical and ML models, and threat intelligence. You'll define standards for reliability and observability, drive incident learnings and performance work, and mentor engineers while running design reviews and unblocking delivery.
Requirements
- Staff level backend engineering, with a track record of leading technical decisions in production systems
- Distributed systems depth: reliability, latency, concurrency, backpressure, idempotency
- Strong API design and data modeling skills (relational + event-driven)
- Ability to lead through influence: clear communication, strong judgment, and pragmatic trade-offs
- High ownership and ability to drive execution end-to-end
Responsibilities
- Set direction for a core area such as pipelines, detection platform, response, or LLM systems
- Own architecture, roadmap execution, and technical quality
- Lead designs for high-throughput ingestion, normalization, enrichment, and routing of multi-chain activity
- Evolve detection engines across monitoring DSL, statistical/anomaly models, ML models, and threat intelligence
- Define standards for reliability and observability
- Drive incident learnings, performance work, and production health
- Mentor engineers, run design reviews, unblock delivery, and raise the quality bar