Senior Software Engineer, Backend – Consumer, Risk

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Logo of Coinbase

Coinbase

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

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.

📋 Description

• Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability • Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience • Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) • Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention • Strengthen the team by mentoring engineers, conducting rigorous code reviews, writing technical design documents for complex systems, and championing engineering best practices across the codebase • Own system quality and operational excellence by proactively addressing technical debt, driving bug triaging, and leading incident response and post-mortems to ensure platform reliability

🎯 Requirements

• 5+ years of backend software engineering experience with a track record of delivering complex, high-impact systems in production environments • Deep proficiency in backend languages (Go, Ruby, Python, or Java) with demonstrated experience designing distributed systems including microservices, event-driven architectures, and REST/GraphQL APIs • Proven ability to translate ambiguous requirements into clear technical plans and working architectures, driving technical clarity across engineering, product, and data science teams • Track record leading end-to-end projects with long-term impact, including scoping, design, implementation, monitoring, and mentoring other engineers through the process • Experience leading incident response, conducting post-mortems, and driving measurable operational improvements in high-availability systems • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

🏖️ Benefits

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

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