Senior Full Stack Engineer

DealpathNew York City, New YorkPosted July 14, 2026

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About this role

Senior Software Engineer

Dealpath is the AI-powered operating system for institutional real estate investing — purpose-built to help the world's leading firms capture more opportunities, make faster decisions, and execute with precision. As a Senior Software Engineer here, you'll ship features that go directly into the workflows of firms managing trillions in real assets, using AI coding tools as a core part of how you build every day. We're looking for engineers who take ownership end-to-end, think about the problems they're solving for customers, and want to help shape the way the built world transacts.

You’re excited about this opportunity because you’ll

• Ship customer-facing features — build and deploy product features that go directly into the workflows of the world's leading real estate investors

• Build with AI every day — use Claude Code, Cursor, and others as a core part of your workflow, not an occasional supplement

• Own your work end-to-end — work closely with product and design to shape what gets built, then see it through to production

• Raise the bar on code quality — review commits and AI-generated code for correctness, security, and maintainability

• Help the team grow — give real feedback to earlier-career engineers, share your approach, and make the people around you better

We’re excited that you are

• 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

• 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

• Product sense — you think about the user and the business, not just the implementation, and understand how your work connects to customer outcomes

• Independence — you take ownership end-to-end, navigate ambiguity, and deliver without being managed step-by-step

• Clear communication — written and verbal, you can articulate technical tradeoffs to engineers and non-technical partners alike

• Mentorship orientation — you give feedback that builds judgment in others, not just fixes the immediate issue

• CS fundamentals — solid grasp of data structures, system design, and the ability to reason about performance, reliability, and data integrity tradeoffs

Qualifications

• Hands-on experience with AI-assisted development tools — Cursor, Claude Code, or similar — in real production work

• BS in Computer Science or Software Engineering, or 8+ years of industry experience

• 4+ years building web application back-ends — Ruby, Flask, Node, or similar

• 4+ years building web application front-ends — React, Angular, Vue, or similar

• Demonstrated ability to own features end-to-end and deliver without heavy oversight

Nice to have

• Experience integrating LLM APIs or building AI-assisted workflows in production

• Background in high-growth SaaS

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