Software Engineer - Real-Time Blockchain Data Platform

Coinbase, Inc.

Augusta (ME)

Hybrid

USD 152,000 - 179,000

Full time

5 days ago
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Job summary

Coinbase, Inc. is seeking engineers for the Blockchain Data Platform to build ultra-low-latency indexing across major blockchains.

You will own end-to-end services from design through production, partnering with product and platform teams to deliver data contracts and SDKs that drive adoption. You will work on real-time ingestion, migrations, and backfills, applying systems design fundamentals to improve latency, reliability, and cost while embracing responsible AI to accelerate delivery.

Qualifications

  • 2+ years of software engineering experience in production systems.
  • Strong systems design focusing on partitions, consistency, and storage boundaries.
  • Backend proficiency in Go and/or Python; familiarity with Kafka, gRPC, Redis, S3, ClickHouse, MongoDB.
  • Ability to turn ambiguous problems into clear designs with measurable impact.
  • Blockchain or crypto data experience is a plus.

Responsibilities

  • Build and operate distributed systems for real-time blockchain data ingestion and indexing.
  • Own delivery of chain integrations, migrations, and backfills to reduce latency and costs.
  • Collaborate with product/platform teams to define data contracts and SDKs.
  • Improve architecture and performance across the indexing stack with solid design.
  • Support quality via code reviews, testing, and AI-assisted tooling.

Skills

Software engineering
Systems design
Go/Python
Distributed systems
Blockchain experience
AI in prod

Tools

Kafka
gRPC
Redis
S3
ClickHouse
MongoDB

Job description

Coinbase, Inc. is seeking engineers for the Blockchain Data Platform to build ultra-low-latency indexing across major blockchains.

You will own end-to-end services from design through production, partnering with product and platform teams to deliver data contracts and SDKs that drive adoption. You will work on real-time ingestion, migrations, and backfills, applying systems design fundamentals to improve latency, reliability, and cost while embracing responsible AI to accelerate delivery.

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