Backend Engineer

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

Additional details

We’re building a real-time analytics platform for the Solana ecosystem. You’ll design and implement low-latency data ingestion and processing pipelines that power for smart alerts (real-time notifications), wallet Intelligence (behavioral scoring, flow tracking, smart money detection), token Health Metrics (liquidity, holders, manipulation indicators), anomaly Detection (fraud / rug pull / wash trading signals), predictive Insights (ML-driven probability forecasts).

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