Senior Software Engineer

Dealpath•New York City, NY

About The Position

Dealpath's engineering team is built around technical excellence, collaboration, impact, and execution. As AI fundamentally changes how great software gets built, we're looking for talented engineers with a growth mindset who are excited to work at that frontier — and help us build the future of real estate investment management. You’ll work as part of a strong, passionate engineering team that takes craft seriously. You will use AI coding tools (Claude Code, Cursor, and others) as a core part of your daily workflow — directing them, evaluating their output, and iterating quickly to ship great features. You will spend more time solving real product problems and less time on boilerplate — describing the problem clearly, letting the LLM generate code and tests, then refining until it's right. You will rapidly build and deploy new product features that directly serve the needs of the world's leading real estate investors. You will work closely with product and design to shape and prioritize what gets built. You will collaborate with the quality team to write testable code, fix bugs, and continuously raise the bar. You will review commits and AI-generated code to uphold standards of quality, security, and maintainability.

Requirements

Analytical with solid problem-solving skills and strong CS fundamentals: data structures, system design, and the ability to reason about tradeoffs.
Comfortable working independently — you take ownership end-to-end, unblock yourself, and drive projects to completion without constant oversight.
Strong on product sense — you think about the user and the business, not just the implementation.
Fluent in directing AI tools like Claude Code or Cursor: you describe a problem clearly, generate code and tests, evaluate the output critically, and iterate until it's right.
Able to evaluate AI-generated code by the same bar as hand-written code — spotting bugs, edge cases, security gaps, and performance issues before they ship.
A clear communicator, written and verbal, with the ability to articulate technical tradeoffs to both engineering and non-technical partners.
Excited to work in a fast-paced startup environment and committed to a great developer and customer experience.
BS in Software Engineering, Computer Science, or a minimum of 8+ years of industry experience as a software engineer.
Strong CS fundamentals: data structures, and the ability to reason about software system design — including performance, reliability, and data integrity tradeoffs.
Hands-on experience with AI-assisted development tools (Cursor, Claude Code, or similar) used in real production work, not just experiments.
Demonstrated ability to work independently: you take ownership of features end-to-end, navigate ambiguity, and deliver without being managed step-by-step.
Solid written and verbal communication skills — you can clearly describe a problem to an LLM, a teammate, or a product manager.
4+ years building web application back-ends using technologies like Ruby, Flask, or Node.
4+ years building web application front-ends with technologies like React, Angular, or Vue.

Nice To Haves

You have a builder mindset — you get excited about solving complex engineering challenges, not just implementing specs.
You are interested in Commercial Real Estate (CRE) or FinTech.
You have experience integrating LLM APIs or building AI-assisted workflows into production systems.
You have worked in a high-growth SaaS company and are comfortable in a codebase that's evolving fast.

Responsibilities

Work as part of a strong, passionate engineering team that takes craft seriously.
Use AI coding tools (Claude Code, Cursor, and others) as a core part of your daily workflow — directing them, evaluating their output, and iterating quickly to ship great features.
Spend more time solving real product problems and less time on boilerplate — describing the problem clearly, letting the LLM generate code and tests, then refining until it's right.
Rapidly build and deploy new product features that directly serve the needs of the world's leading real estate investors.
Work closely with product and design to shape and prioritize what gets built.
Collaborate with the quality team to write testable code, fix bugs, and continuously raise the bar.
Review commits and AI-generated code to uphold standards of quality, security, and maintainability.