Backend Engineer

<div class="trix-content"> <h2>Overview</h2> <p>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.<br><br><br></p> <h2>Responsibilities</h2> <ul> <li>Build and maintain a Solana ingestion pipeline using Geyser</li> <li>Implement streaming pipelines with Redpanda/Kafka (event schemas, partitioning, replay, backfills)</li> <li>Develop high-throughput services for:<ul> <li>transaction decoding (SPL tokens + major Solana DeFi programs)</li> <li>wallet flow aggregation (rolling windows, top counterparties, holdings estimates)</li> <li>token metrics computation (volume, liquidity changes, holder concentration)</li> </ul> </li> <li>Design and optimize ClickHouse schemas for time-series analytics and fast queries</li> <li>Use Redis for sub-second hot-path serving (caches, rolling counters, top-N lists)</li> <li>Partner with ML engineers (or implement simple models yourself) to productionize scoring and signals</li> <li>Own reliability: lag monitoring, reorg handling, idempotency, observability (metrics/logs/traces)</li> </ul> <p><br><br></p> <h2>Skills</h2> <ul> <li>Strong backend fundamentals: distributed systems, concurrency, performance, API design</li> <li>Production experience with one or more: Go / Python / Node.js</li> <li>Experience with streaming systems: Kafka/Redpanda, consumer groups, exactly-once-ish patterns, idempotency</li> <li>Experience with databases for analytics and scale (ClickHouse preferred; BigQuery/Snowflake/Druid OK)</li> <li>Familiarity with caching patterns (Redis) and building low-latency APIs</li> </ul> <p><br><br></p> <h2>Additional details</h2> <p>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).</p> </div> When applying, mention the word CANDYSHOP to show you read the job post completely.