The opportunity
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.
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.
What they're looking for
- + 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: 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.
- Exceptional communication with non-engineers: you're comfortable embedded with finance, legal, or HR partners, translating in both directions without losing precision.
- Experience in highly regulated industries, particularly finance or fintech, is strongly preferred.
