Full Stack Engineer
Urrly · New York, NY · United States · On-site
Pay: USD 140,000 – 195,000 a year
Posted Sep 2, 2026
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Full Stack Engineer
If you are the engineer who naturally takes ownership of the problems that do not fit neatly into frontend, backend, data, or infrastructure, this role gives you the chance to turn ambiguous business-critical ideas into production software for a real, data-intensive financial platform. You will help build the data, underwriting, and accountability infrastructure behind homebuilder finance, where correctness, reliability, and long-term maintainability matter.
Opportunity
This is a hands-on individual-contributor role on a New York City-based technology team building enterprise-grade software for builders, capital partners, and internal operators. The team has proven the value of moving quickly with modern tools and AI-assisted development, and is now adding a traditional software engineer who can bring deeper production judgment, architecture discipline, and full-stack ownership to the next phase of the platform.
You will have close access to company leadership, a technical blueprint, and meaningful business context — but not a queue of perfectly scoped tickets. The right person is comfortable starting from first principles, clarifying the real problem, making practical technical decisions, and shipping the work all the way into production.
What You Will Own
Build and ship complete product and platform capabilities across React, TypeScript/Node.js, Express, MySQL, Docker, and AWS.
Translate loosely defined business problems into clear technical plans, sensible architecture, and reliable production software.
Work across frontend experience, backend APIs, service boundaries, relational data models, infrastructure, testing, and operational details.
Own application-facing data decisions, including SQL, relational schemas, migrations, and the tradeoffs behind data-model design.
Strengthen production quality through automated testing, observability, deployment discipline, performance improvements, and incident prevention.
Use AI coding tools to move faster while personally validating, reviewing, and owning every engineering decision and production outcome.
Collaborate with a remote technical leader and an in-office operating team through clear written decisions, diagrams, screen sharing, and practical communication.
Close the gaps that fall between product, application, data, and infrastructure ownership.
What Success Looks Like
In your first 30 days, you understand the system and ship a meaningful improvement on a cross-cutting problem that did not already have an obvious owner.
By 60 days, you have made and defended an architecture or data-model decision that improves the product’s speed, reliability, or maintainability.
By 90 days, teammates trust you as a default owner for ambiguous full-stack work, and you are identifying valuable improvements before they become assigned tickets.
What Makes You a Strong Fit
You have delivered production software across both backend APIs/services and modern…