Über
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 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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Sprachkenntnisse
- English
Hinweis für Nutzer
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