Senior Software Engineer, Enterprise Build
Robinhood is hiring a Senior Software Engineer, Enterprise Build in Menlo Park, United States. It pays $196k-$230k a year and Level rates it ; you can apply on Robinhood.
Level's read on this job
- On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 17% higher than the typical software engineer posting on Level.
- The posting mentions Python, Git and Kubernetes among its tools and skills.
- Level classes it as a senior role.
- Robinhood has 156 other open roles on Level.
AI in this role
Turn AI-built prototypes into enterprise-grade production services, reviewing and hardening agent-generated code.
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.
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.
This role is 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
- 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'.
What We're Looking For
- 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.
- 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.
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% coverage for dependents.
- Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$196,000—$230,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$172,000—$202,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$153,000—$179,000 USDClick here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
How we rate this
Senior Software Engineer, Enterprise Build at Robinhood rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $196k
- Typical software engineer job
- $168k
This posting starts 17% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where code review was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Software Engineering, Backend, System Design, and Code Review. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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