Software Engineer, CDP - Payment Acceptance

Coinbase · Remote - USARemotomid

En corto

▸Construyes la infraestructura de pagos en stablecoins para comercios globales.
▸Trabajas full-stack en Go y React/Next.js, desde UI hasta sistemas onchain con Temporal.
▸Destacado: Usas IA generativa con supervisión humana para mejorar eficiencia y calidad.

Proficient written and verbal English

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¿Qué piden?

✓3+ años en ingeniería full-stack con Go y TypeScript/React
✓Experiencia comprobada en PostgreSQL y migraciones
✓Diseño de APIs con protobuf/gRPC y REST
✓Sistemas de flujos duraderos (Temporal o similar)
✓Instrumentación con observabilidad (Datadog, OpenTelemetry)
✓Uso responsable de IA generativa y copilotos en entornos de producción

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

GoTypeScriptReactNext.jsgRPCprotobufPostgreSQLTemporalDatadogOpenTelemetry

¿A quién escribirle en Coinbase?

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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, it’s 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 “surges.” learn more about working at Coinbase . As a Software Engineer on the CDP Payment Acceptance team within the Developer group, you'll build the stablecoin payment rail powering merchant checkout, subscriptions, and onchain settlement for businesses of all sizes. This team owns the end-to-end payment experience, from merchant-facing checkout components through gRPC orchestration services to onchain settlement workers across multiple EVM chains. You'll ship full-stack features across our Go backend and React/Next.js frontend, directly contributing to our mission of becoming the most trusted, performant, and widely adopted stablecoin payment rail for global commerce. What you'll do: • Own end-to-end feature delivery across Go backend services and the React/Next.js merchant-facing checkout experience, including gRPC/HTTP APIs, protobuf definitions, database migrations, and TypeScript client integrations • Build and refine the buyer checkout UI (payment links, embeddable web components, wallet connection flows via WalletConnect, wagmi/viem) with a focus on conversion, accessibility, and performance • Implement durable, fault-tolerant payment workflows using Temporal for onchain settlement, refunds, and reconciliation against PostgreSQL • Instrument every change with structured logs, metrics, and Datadog traces, and own on-call rotation for services you ship • Partner with Product, Design, and engineering teams (CDP, Base, Coinbase Business) to integrate Payment Acceptance into the broader Coinbase developer platform Required Skills and Experience: • 3+ years of professional full-stack software engineering experience shipping production systems in Go (concurrency, gRPC, testing) and TypeScript/React (hooks, suspense, server components, Next.js) • Demonstrated experience with relational databases (PostgreSQL preferred), including schema design, migrations, query performance, and transactional correctness • Proven track record designing APIs (protobuf/gRPC, REST, OpenAPI) and instrumenting production systems with structured observability (Datadog, OpenTelemetry, or similar) • Experience building durable workflow systems (Temporal, Cadence, or Step Functions) or working with EVM blockchains, stablecoins, and onchain payment patterns • Consistent record of writing clear design docs, PR descriptions, and runbooks that enable cross-team collaboration and operational maturity • 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. #P7

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