Software Engineer, Enterprise Build
About The Position
Robinhood is seeking a Software Engineer to join the Enterprise Build team. This team is responsible for transforming AI-built prototypes into enterprise-grade services. The role involves assessing, rebuilding, and hardening AI-generated code to meet Robinhood's high engineering standards, including SSO, audit logging, secrets management, CI/CD, infrastructure as code, and security review. The engineer will work directly with business partners in a forward-deployed manner to ensure the software meets real-world needs. The position is based in the Menlo Park, CA office, requiring at least 3 days per week in-person. Robinhood emphasizes the value of in-person work for accelerating progress, sparking innovation, and strengthening community.
Requirements
- 3+ years of software engineering experience building and running production backend or full-stack systems.
- 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 identify the essential parts of a prototype and complete engagements efficiently.
- Exceptional communication skills with non-engineers, comfortable embedding with business partners and translating technical concepts accurately.
- Experience in highly regulated industries, particularly finance or fintech, is strongly preferred.
Responsibilities
- Assess AI-built prototypes from across the company and make technical decisions on whether to harden, rebuild, or redirect them, owning the outcome end-to-end.
- Design, build, and ship services on Robinhood's enterprise platforms, ensuring they meet the company's standards for secure, reliable enterprise software.
- Develop AI-natively by driving agents through first-pass assessment, porting, and test scaffolding, and shipping MCP servers, sub-agents, and agent skills as production artifacts.
- Collaborate directly with sponsoring business units (Finance, HR, Legal, Compliance) during each build, translating real workflows into adoptable software.
- Deliver clean operational handoffs, including runbooks, evaluations, and dashboards, as part of the definition of done.
- Establish paved patterns with the Enterprise Platforms team by creating platform capabilities when solving the same problem multiple times.
- Enhance AI-era engineering quality through rigorous, teaching-quality reviews of AI-generated code, both your own and others'.
Benefits
- Challenging, high-impact work to grow your career.
- Performance-driven compensation with multipliers for outsized impact.
- Bonus programs.
- Equity ownership.
- 401(k) matching.
- 100% paid health insurance for employees.
- 90% coverage for dependents' health insurance.
- Lifestyle wallet — a flexible benefits spending account for wellness, learning, and more.
- Employer-paid life & disability insurance.
- Fertility benefits.
- Mental health benefits.
- Company holidays.
- Paid time off.
- Sick time.
- Parental leave.
- Catered meals.
- Events.
- Comfortable workspaces.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
