Senior Software Engineer (Enterprise Build)

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

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

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’- Sharp problem-solvers

We’re looking for bold thinkers

Builders who are wired to make an impact

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

Exceptional communication with non-engineers: you’re comfortable embedded with finance, legal, or HR partners, translating in both directions without losing precision

Product sense and scoping discipline: you can find the 20% of a prototype worth keeping, say no to the rest, and finish, this team’s leverage depends on engagements that end

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

Experience in highly regulated industries, particularly finance or fintech, is strongly preferred

Hands-on cloud depth, GCP preferred, including containerized services, CI/CD pipelines, and infrastructure as code, with a strong focus on a serverless stack