At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. Overview Want to build products that sit at the heart of how money moves? Weâre looking for a Senior Software Engineer to help build and scale the technology powering Breeze. This is a hands-on role with real ownership. Youâll tackle complex engineering challenges, ship products customers rely on every day, and help shape technical decisions as we scale. Youâll work across the stack, partner closely with Product and Design, and have plenty of white space to improve how we build. Weâre looking for an engineer who combines strong technical judgment with a product mindset. Someone who moves fast, cares deeply about quality, and gets excited about turning complex payments problems into simple, reliable experiences. If you want to build, not just maintain, and have a meaningful impact on both our product and engineering culture, weâd love to meet you. What Youâll Do Build and scale the core payment systems that power Breeze, with a focus on reliability, security, and performance Ship high-quality customer experiences using React.js and modern serverless infrastructure Own meaningful featur
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Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, itâs a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called âsurges.â learn more about working at Coinbase . As a Senior Software Engineer on the Stablecoin team within the Developer group, you'll help build and scale Coinbase Custom Stablecoins (CCS), the platform that lets partners launch their own branded, USDC-backed stablecoins on Coinbase's infrastructure. This role sits at the intersection of backe
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Required Skills and Experience: 5+ years of experience in software engineering, including designing, building, and operating production backend services; All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information
Department ¡ Engineering - Backend
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Coinbase
Ready to be pushed beyond what you think youâre capable of? At Coinbase, our mission is to increase economic freedom in the world. Itâs a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform â and with it, the future global financial system. To achieve our mission, weâre seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the companyâs hardest problems. Our work culture is intense and isnât for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, thereâs no better place to be.
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At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including
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