Software Engineer

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Build end-to-end user-facing features using Golang, React, and cloud technologies for CX compliance agent platforms • Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities • Drive cross-functional outcomes on complex problems in collaboration with product, design, security, data, and peer engineering teams • Own technical architecture decisions and implement scalable, high-traffic services across event-driven and distributed systems • Mentor engineers on design techniques, coding standards, testing practices, and deployment processes

🎯 Requirements

• 4+ years of production software engineering experience building large-scale systems with Golang, React, and cloud technologies (AWS, Kubernetes, Terraform) • Demonstrated experience integrating third-party vendor APIs and SaaS platforms into production systems • Proficiency in distributed systems patterns including rate limiters, caching, load balancing, circuit breakers, and event-driven architectures (Kafka, message queues) • Hands-on experience with observability and reliability tooling including metrics, logging, tracing, and debugging in production environments • Working knowledge of gRPC, GraphQL, SQL or NoSQL databases, and ETL pipelines • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

🏖️ Benefits

• Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).