Software Engineer

Robinhood · Menlo Park, CAmid

In short

▸Construyes servicios empresariales de alta calidad a partir de prototipos de IA generados por compañeros.
▸Trabajas directamente con áreas como Finanzas, Legal y Cumplimiento para convertir ideas en software real y adoptado.
▸El trabajo está centrado en la ingeniería de IA nativa, con énfasis en seguridad, calidad y estándares empresariales.

Fluency in English required for collaboration across teams.

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What they ask for

✓Experiencia en desarrollo de software en entornos empresariales o de alta confiabilidad.
✓Capacidad para evaluar y mejorar prototipos de IA generados por otros.
✓Conocimiento en CI/CD, gestión de secretos y seguridad en producción.
✓Habilidades de colaboración directa con equipos de negocio no técnicos.
✓Experiencia en arquitectura de servicios escalables y mantenibles.
✓Capacidad para escribir código limpio y revisar código de IA con rigor.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AI agentsMCP serverssub-agentsagent skillsSSOaudit loggingsecrets managementCI/CDinfrastructure as codeenterprise platforms

Who should you write to at Robinhood?

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is seeking a Software Engineer to join the Enterprise Build team: the small, high-leverage team that turns the company's best AI-built prototypes into true enterprise-grade services. Robinhood has gone all-in on an AI-accelerated workforce: every week, Hoodies across Finance, HR, Legal, Compliance, and beyond use sanctioned AI tools to build working prototypes of the tools they wish they had. The best of those ideas deserve to become real software. That is this team's entire job, and yours. The team is built on the premise that AI multiplies what a senior engineer can own: agents do the first pass of assessment, porting, and scaffolding; you review, harden, and decide. The work is a distinctive loop. A prototype earns real usage in our experimental sandbox and arrives through a single front door. You assess it, decide what survives, often the idea and the workflow, rarely the code, and rebuild it as an enterprise-grade, production-spec service that meets our full engineering standards: SSO, audit logging, secrets management, CI/CD, infrastructure as code, and security review, baked in from the first commit. While you build, you work directly with business partners, the forward-deployed pattern, pointed inward. Robinhood operates in a heavily regulated industry. Building fast here means building safely, and this team exists to help make sure those aren't in tension. This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What You'll Do • Assess vibe-coded prototypes from across the company and make the technical call: harden, rebuild, or redirect, then own the outcome end-to-end. • Design, build, and ship services on Robinhood's enterprise platforms, meeting the company's full standards for secure, reliable enterprise software. • Build AI-natively: drive agents through first-pass assessment, porting, and test scaffolding, and ship MCP servers, sub-agents, and agent skills as production artifacts where the solution calls for them. • Work directly with sponsoring business units (Finance, HR, Legal, Compliance) during each build, translating real workflows into software people actually adopt. • Deliver clean operational handoffs as part of your definition of done: runbooks, evals, and dashboards. • Establish the paved patterns with the Enterprise Platforms team: when you solve the same problem twice, make it a platform capability the third time. • Raise the bar on AI-era engineering quality, including rigorous, teaching-quality review of AI-generated code, your own and others'.

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