Senior Staff Software Engineer, Backend, Platform - Risk

August 18

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Coinbase

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Crypto • Finance • Fintech

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.

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

• Design and implement next generation core Risk platform architecture that power Coinbase • Interact with stakeholders in many different organizations that build Coinbase products or responsible for financial operations • Participate in shaping of the strategy and execution path of Risk platform • Manage individual projects priorities, deadlines and deliverables with your technical expertise • Mentor and train other team members on design techniques and coding standards • Write high quality, well tested code to meet the needs of your customers.

🎯 Requirements

• 12+ years of experience in backend software engineering using Golang or similar languages • Proven track record of delivering impactful solutions that power significant risk flows • You’ve designed, built, scaled and maintained high throughput and low latency production services • You’ve experienced architecting and developing solutions to ambiguous problems with significant impact • Strong technical knowledge of building distributed systems that process massive scale • Solid communication skills, ability to communicate to stakeholders with various technical and non-technical backgrounds • Relentless drive to set and perseverance to achieve ambitious goals • Passion for building an open financial system that brings the world together • Nice to have: Domain expertise in Risk engineering • Worked closely in Machine Learning models and leveraged the models to scale the execution of risk use cases at large scale • Experience both in startups and large enterprises

🏖️ Benefits

• Pay range: $246,500 — $290,000 USD per year • Target bonus + target equity + benefits (including medical, dental, vision and 401(k))