# Senior Software Engineer, Data Engineering Platform

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $186k – $219k/yr
**Experience:** 5+ years
**Skills:** Go, Kafka, Redis, MongoDB, Blockchain, Distributed Systems, Microservices, APIs, ethereum, bitcoin
**Posted:** 2026-07-30

> Build and own blockchain network infrastructure, SDKs, and platform APIs that abstract complexity for Coinbase's data platform users. Lead initiatives on chain integrations, data migrations, and distributed systems while maintaining APIs, SLOs, and on-call responsibilities. Requires 5+ years software engineering experience with distributed systems and blockchain/crypto infrastructure.

## Job Description

## What you'll do

- Own the design and delivery of blockchain network infrastructure that abstracts blockchain complexity into reliable, platform APIs
- Lead multi-quarter initiatives including new chain integrations, re-architecture efforts, and data migrations that improve system latency, reliability, and cost
- Define and maintain APIs, SLOs, and observability for the systems you build, including on-call ownership
- Partner with product and platform teams to establish data contracts and ship SDKs and platform primitives that drive adoption across Coinbase
- Build deep technical context across multiple top blockchain protocols (e.g., Bitcoin, Ethereum) and apply that knowledge to simplify cross-chain operations

## Required Skills and Experience

- 5+ years of software engineering experience, with demonstrated ownership of production services in a service-oriented architecture
- Proven track record designing, scaling, and maintaining distributed systems handling high-throughput, low-latency workloads
- Hands-on experience with at least two of the following: Golang, Kafka, Redis, MongoDB, or similar infrastructure technologies
- Direct experience with blockchain protocols or crypto infrastructure (e.g., integrating with Ethereum, Bitcoin, or similar L1/L2 networks)
- Demonstrated ability to decompose complex systems (monoliths, legacy architectures) into well-bounded microservices with clear API contracts
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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