Fullstack Engineer

Reposted 7 Days Ago
New York, NY
In-Office
Mid level
Artificial Intelligence • Big Data • Fintech • Greentech • Social Impact
The Role
As a Fullstack Engineer, you will improve product quality, resolve diverse bugs, modernize the codebase, and leverage AI for diagnostics.
Summary Generated by Built In

The Role: Product-Focused Software Engineer

For our users, trust is everything. They rely on our platform to be stable, fast, and reliable as they manage their clients' financial futures. We are looking for a skilled and detail-oriented Fullstack Engineer who is passionate about product quality and wants to serve as a guardian of our user experience.

This isn't a typical feature-building role. Instead, you will be the champion of our existing product, dedicated to making it better, stronger, and more resilient. You will take on the critical responsibility of improving and modernizing our codebase, resolving customer-facing issues, and ensuring the overall integrity of the platform. You will find satisfaction in diagnosing complex problems and leaving the codebase better than you found it. Moreover, you will feel accomplished by helping real people with problems, and be happy to be on communication threads to learn from and better help our users. 

What You'll Do:

  • Guard and Improve Product Quality: Become the expert on our existing application, proactively identifying areas for improvement and addressing issues that impact performance, stability, and the user experience.
  • Solve Complex Puzzles: Dive into our full stack (Django/Vue) to investigate, triage, and resolve a wide range of bugs and customer-facing issues, from small UI glitches to deeper backend complexities.
  • Modernize Our Codebase: Take ownership of improving our existing code. This includes refactoring legacy systems, enhancing test coverage, and implementing updates to ensure our platform remains robust and scalable.
  • Leverage AI for Efficiency: Utilize cutting-edge AI tools to accelerate the diagnosis and debugging of complex issues. While AI provides the assist, you are the expert responsible for delivering tested, high-quality fixes.

What We're Looking For:

  • Proven experience as a Fullstack Engineer, comfortable working with both backend (Python/Django preferred) and frontend (Vue.js preferred) technologies.
  • A Product-Oriented Mindset: You are driven by a desire to create a great user experience and understand that reliability is a core feature.
  • An Expert Problem-Solver: You have a knack for debugging and enjoy the challenge of untangling complex technical issues.
  • Meticulous and Responsible: You have high standards for your work and take deep ownership of the quality and real-world impact of your code.
  • Curiosity and a desire to continuously learn and improve both yourself and the codebase you work on.

Why Join YourStake?

  • Make a Visible Impact: Your work is critical and will be immediately felt by our users. You are on the front lines of protecting our product and our reputation.
  • Become an Expert: You will gain a uniquely deep understanding of our entire system and become an invaluable resource for the entire engineering team.
  • A Culture of Quality: Join a team that respects and values the crucial work of maintaining and improving existing products.
  • Competitive Salary & Equity: We offer a competitive compensation package, including meaningful equity in a growing company.
  • Comprehensive Benefits: Including health, dental, and vision insurance.

If you are a pragmatic engineer who finds satisfaction in making things work better, we would be thrilled to hear from you.

Top Skills

Python,Django,Vue.Js,Ai Tools
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The Company
HQ: Brooklyn, NY
16 Employees
Year Founded: 2018

What We Do

YourStake provides the #1 rated tools financial advisors need to help provide personalization to their client’s investments. We offer advisors a suite of tools that bring immense time efficiencies and insights to client prospecting, reporting, and portfolio analytics. We also help with investment research and optimization to provide scalable personalization for clients.

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