Backend Engineer

Overview

We are building a cutting-edge AI-powered blockchain analytics platform focused on the Solana ecosystem. Our platform processes millions of on-chain transactions in real time to deliver wallet intelligence, token health metrics, anomaly detection, predictive insights, and AI-driven smart alerts for traders and institutions. Our infrastructure powers low-latency streaming systems, large-scale analytics databases, and machine learning services operating continuously across distributed environments.

Responsibilities

- Build and maintain a Solana ingestion pipeline using Geyser;
- Implement streaming pipelines with Redpanda/Kafka (event schemas, partitioning, replay, backfills);
- Develop high-throughput services for:
transaction decoding (SPL tokens + major Solana DeFi programs);
wallet flow aggregation (rolling windows, top counterparties, holdings estimates);
token metrics computation (volume, liquidity changes, holder concentration);
- Design and optimize ClickHouse schemas for time-series analytics and fast queries;
- Use Redis for sub-second hot-path serving (caches, rolling counters, top-N lists);
- Partner with ML engineers (or implement simple models yourself) to productionize scoring and signals;
- Own reliability: lag monitoring, reorg handling, idempotency, observability (metrics/logs/traces).

Skills

- Strong backend fundamentals: distributed systems, concurrency, performance, API design;
- Production experience with one or more: Go / Python / Node.js;
- Experience with streaming systems: Kafka/Redpanda, consumer groups, exactly-once-ish patterns, idempotency;
- Experience with databases for analytics and scale (ClickHouse preferred; BigQuery/Snowflake/Druid OK);
- Familiarity with caching patterns (Redis) and building low-latency APIs;
- Hands-on experience in the crypto industry and Solana.