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Senior Full Stack Engineer

Dealpath · New York, United States

External listingfull-time14 days ago

About The Role

Join Dealpath, the AI-powered operating system for institutional real estate investing. As a Senior Full Stack Engineer, you will ship features that directly impact the workflows of firms managing trillions in real assets. You will work closely with product and design, take ownership of your work end-to-end, and help raise the bar on code quality. This position offers a competitive salary, equity grant, 401k plan, medical, vision, and dental benefits, a flexible vacation plan, health and wellness stipend, fully-stocked kitchen, commuter reimbursement, and a hybrid work policy.

  • Concevoir, développer et déployer des fonctionnalités orientées client qui s'intègrent directement dans les flux de travail des investisseurs immobiliers.
  • Utiliser des outils de développement assistés par l'IA comme Claude Code et Cursor comme partie intégrante de votre flux de travail.
  • Assumer la responsabilité de votre travail de bout en bout, en collaborant étroitement avec les équipes produit et design pour façonner ce qui est construit.
  • 4+ years building web application back-ends — Ruby, Flask, Node, or similar
  • Hands-on experience with AI-assisted development tools — Cursor, Claude Code, or similar — in real production work
  • Demonstrated ability to own features end-to-end and deliver without heavy oversight
  • 4+ years building web application front-ends — React, Angular, Vue, or similar
  • BS in Computer Science or Software Engineering, or 8+ years of industry experience
  • Strong code review habits — you evaluate AI-generated code by the same standard as hand-written code, catching bugs, edge cases, security gaps, and performance issues before they ship
  • Independence — you take ownership end-to-end, navigate ambiguity, and deliver without being managed step-by-step
  • CS fundamentals — solid grasp of data structures, system design, and the ability to reason about performance, reliability, and data integrity tradeoffs
  • AI fluency — you direct tools like Claude Code or Cursor effectively: describe the problem clearly, generate code and tests, evaluate output critically, and iterate until it's right
  • Mentorship orientation — you give feedback that builds judgment in others, not just fixes the immediate issue
  • Clear communication — written and verbal, you can articulate technical tradeoffs to engineers and non-technical partners alike
  • Product sense — you think about the user and the business, not just the implementation, and understand how your work connects to customer outcomes
  • Experience integrating LLM APIs or building AI-assisted workflows in production
  • Interest in commercial real estate or fintech
  • Background in high-growth SaaS

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