Senior Software Engineer, Enterprise Build

About the Team & Role

Robinhood is seeking a Senior 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.

Every week, teams across Finance, HR, Legal, Compliance, and beyond use sanctioned AI tools to build prototypes. The team operates 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. You assess prototypes and rebuild them into enterprise-grade, production-spec services meeting Robinhood's full engineering standards (SSO, audit logging, secrets management, CI/CD, IaC, and security review).

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

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 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 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.

What We're Looking For

• 5+ years of software engineering experience building and running production backend or full-stack systems, with a track record of independently delivering high-ambiguity projects end-to-end.
• Hands-on cloud depth, GCP preferred, including containerized services, CI/CD pipelines, and infrastructure as code, with a strong focus on a serverless stack.
• Demonstrated AI-native development: daily fluency with agentic coding tools, experience building LLM-powered applications or agentic workflows, and the judgment to review, harden, and productionize AI-generated code.
• Product sense and scoping discipline: ability to find the 20% of a prototype worth keeping, say no to the rest, and finish.
• Exceptional communication with non-engineers, comfortable embedded with finance, legal, or HR partners.
• Experience in highly regulated industries, particularly finance or fintech, is strongly preferred.