Senior Software Engineer (Enterprise Build)
Posted Updated
- 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