Senior Software Engineer (Streaming Data Pipeline)

Skills

About the Role

You will design and own a high throughput ingestion pipeline for on chain events with strong delivery guarantees. You will 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; you will integrate external data where needed. You will embed robust observability and automated recovery so systems self heal under load. You will deploy containerized microservices via modern CI/CD and infrastructure automation in managed cloud environments. You will contribute through design and code reviews; you will 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.

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.