Senior Software Engineer (Streaming Data Pipeline)

About the job You will design and own a high-throughput ingestion pipeline for on-chain events, build stateful streaming jobs, and operate distributed messaging at scale. You will transform raw node output into a canonical on-chain data model for APIs and analytics, embed robust observability, and deploy containerized microservices via modern CI/CD in managed cloud environments. You will contribute through design and code reviews, rigorously test and ship secure, scalable software following best practices. Responsibilities Design and own a high-throughput ingestion pipeline for on-chain events with strong delivery guarantees. Build stateful streaming jobs and operate distributed messaging at scale (partitioning, replication, retention). Transform raw node output into a canonical on-chain data model for APIs and analytics; integrate external data where needed. Embed robust observability and automated recovery so systems self-heal under load. Deploy containerized microservices via modern CI/CD and infrastructure automation in managed cloud environments. Contribute through design/code reviews; rigorously test and ship secure, scalable software aligned with best practices. Requirements Bachelor’s degree in CS or related field (or equivalent experience) 5+ years in backend/data-infra engineering, including multi-year experience running real-time streaming systems Deep experience with distributed streaming and pub-sub platforms; strong grasp of watermarking, checkpointing, back-pressure, and event- vs processing-time. Proficiency in a statically typed systems language plus strong SQL and API design skills; proven pipeline design and CDC/data-sink experience. Strength in observability, SLOs, and performance tuning (latency, scalability, availability, efficiency, capacity); ability to optimize reliability and cost at scale. Familiarity with blockchain data lifecycles, token standards, event ingestion/traces, common data schemas, market-data pipelines, and modern analytical databases.