Software Engineer, Backend

Robinhood
Menlo Park, CA; New York, NYPosted 7 April 2026

Job Description

Join us in building the future of finance. 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. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As a Software Engineer, you’ll build and own backend services, infrastructure, and data systems that support Robinhood’s core financial products. You’ll solve complex scalability challenges while gaining deep expertise in U.S. financial systems and making a direct impact on the products used by millions. The Brokerage team’s mission is to pave the way for launching new features, expanding into diverse financial services, and welcoming millions more people into the financial system. The team owns critical services that support trading and brokerage infrastructure and partners closely with other engineering, product, and operations teams across Robinhood. The Incentives team drives user growth and engagement through both strategic incentives and platform capabilities. One sub-team focuses on increasing net deposits by testing incentive and non-incentive levers, while the other builds Robinhood’s centralized, scalable platform to support personalized, company-wide rewards. The Identity team protects both Robinhood and its customers by preventing fraud and ensuring regulatory compliance. They own key systems for identity verification, KYC, and fraud prevention across all products, and collaborate closely with teams like Data Science, Brokerage, Crypto, and Security to support global expansion and product launches. These roles are based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design, build, test, and deploy scalable backend services and systems with a strong emphasis on long-term maintainability. Develop product-facing features and platform enhancements that meet strict correctness and scalability standards. Identify and implement improvements to system performance, engineering productivity, and risk reduction. Collaborate closely with client teams, cross-functional partners, and external vendors to deliver impactful technical solutions. What you bring 2+ years of experience in software development. Strong track record of successfully delivering large-scope technical projects in cross-functional team environments. Commitment to high standards in code quality and review processes. Solid understanding of backend development, system design, and the intersection of product and engineering. Proficiency in Go or Python. Hands-on experience with Kafka or similar data streaming technologies. Familiarity with managing and processing large-scale datasets. Bonus points Experience working at a fintech company or financial institution. Familiarity with technologies like Postgres, Kubernetes (K8s), Redis, and AWS (or similar cloud platforms). What we offer Challenging, high-impact work to grow your career Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% c ... (truncated, view full listing at source)
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