Job Title: Senior Software Engineer, Developer (Money Movement - Risk) Company Name: Coinbase Job Url: https://jobright.ai/jobs/info/69bb8c8c3b74eb1e2c8a0abe Job Description: Coinbase · Reposted 52 minutes ago Senior Software Engineer, Developer (Money Movement - Risk) United States Full-time Remote Mid, Senior Level $186K/yr - $219K/yr 3+ years exp 75% GOOD MATCH 100% Exp. Level 51% Skill 45% Industry Exp. Coinbase is a company focused on increasing economic freedom through blockchain technology. They are seeking a Senior Software Engineer to design and build risk infrastructure for their payment systems, ensuring secure and efficient transaction flows while optimizing for user experience. Crypto & Web3 FinTech Payments Bitcoin Blockchain Cryptocurrency Trading Platform Comp. & Benefits H1B Sponsor Likely Insider Connection @Coinbase 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network View D D F G H Darion Welch & 4 connections From Your Previous Company Unlock F F F & 2 connections Previously@undefined and... From Your School Unlock F F F & 2 connections @undefined and... Find Any Email Responsibilities Own critical risk outcomes across CDP’s payment platform, including fraud loss, abuse prevention, and user friction — continuously optimizing the trade-off between risk and seamless customer experience Develop deep domain expertise in global payment systems and CDP products/APIs (onramps, offramps, transfers, payouts), helping shape a world-class crypto payment risk architecture as these platforms scale worldwide Design and build state-of-the-art risk decisioning systems, including core components such as policy/rule engines, machine learning models, real-time scoring services, and autonomous risk evaluation agents Architect and implement high-throughput data pipelines (batch, real-time, and streaming) that power risk detection, monitoring, experimentation, and model training at global scale Develop advanced detection capabilities spanning classical machine learning, graph-based methods, anomaly detection, and agentic AI systems to proactively identify and mitigate fraud and abuse Lead innovation at the intersection of risk, fraud, and agentic AI, conducting cutting-edge research and translating it into production systems Contribute to the broader technical community through publications, open research, or engineering blog posts, helping establish Coinbase as a leader in next-generation payment risk technology Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Software Engineering Real-time Risk/Fraud Detection Systems Service-Oriented Architecture Payment Risk Rules Engines Machine Learning Risk Scoring Cross-Border Payment Flows Generative AI Tools Golang Python Kafka Postgres MongoDB Redis Event-Driven Architectures Blockchain Analytics Required Minimum 3 years of software engineering experience Experience building real-time risk/fraud detection systems at scale Designing, building, and maintaining production services in a service-oriented architecture Experience with payment risk — chargebacks, unauthorized transactions, account takeover, payment fraud typologies Experience with rules engines and/or ML-based risk scoring (feature engineering, model serving, decisioning) Working with cross-border payment flows and the risk implications of multi-currency, multi-rail settlement Leadership skills to develop other engineers and influence risk strategy 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 Preferred Experience in rapid company growth (from startup to mid-size) Experience at a fintech or neobank scaling risk systems from early stage to high volume Proficiency with Golang, Python, Kafka, Postgres, MongoDB, Redis Experience with event-driven architectures for real-time streaming risk evaluation Blockchain/onchain analytics tools (Chainalysis, TRM Labs, Elliptic) Experience decomposing monolithic risk systems into microservices Crypto-forward experience, including familiarity with onchain activity, DeFi protocols, and cross-chain transfers Benefits Equity and bonus eligibility Medical Dental Vision 401(k)