Senior Software Engineer (Streaming Data Pipeline)
Covalent offers modular data infrastructure for AI and agents, featuring a new Sub-Second Data Co-Processor for high-speed, cross-chain data processing. It provides structured data from over 100 blockchains to more than 70,000 developers, enabling the creation of AI agents and other data-driven applications.
About Covalent
Covalent provides modular data infrastructure for AI and agents, featuring a Sub-Second Data Co-Processor designed for speed-critical, cross-chain environments. It transforms raw transactions into labeled, readable data instantly. The platform supports over 100 blockchains and empowers developers with tools like the AI Agent SDK for building autonomous agents and GoldRush for web3 development. Covalent's infrastructure is aimed at powering Zero-Employee Enterprises (ZEEs), which are autonomous organizations using AI and onchain data for operations.
Skills
About the Role
You will support Covalent's streaming data pipeline, processing high-volume event streams across many blockchains. You'll bring 5+ years of backend/stream-processing experience alongside proven experience with Kafka and/or Apache Flink. You'll 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. You'll transform raw node output into a canonical on-chain data model for APIs and analytics, embed robust observability and automated recovery, deploy containerized microservices via modern CI/CD, and contribute through design and code reviews.
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