Full-Stack Developer (Next.JS) en DYO Investments

Remoto | Senior | Full time | Programación

Sueldo bruto $2500 - 3500 USD/mes

68 postulaciones

Revisado por última vez hoy

Postular

ⓘ Requiere postular en Inglés

We are building and maintaining a data-science-heavy application that supports an existing software solution in production. The system is built with Next.js on the frontend, deployed and managed across AWS and Vercel, and includes a strong Python data layer with heavy usage of Pandas, NumPy, and FastAPI. This role focuses on owning end-to-end changes (understanding how the UI, APIs, and data/ML-oriented computations interact) so we can keep the platform reliable, performant, and easy to evolve.

Aplica a este empleo sin intermediarios en Get on Board.

Key responsibilities

We’re looking for 2 developers to maintain and extend our existing platform. Our ideal team member understands the full stack and can move comfortably between frontend, backend, and the data-processing parts of the system.

Maintain and improve the application built with Next.js, ensuring stable user experiences and clean, maintainable UI code.
Develop and maintain FastAPI services, including request/response design, validation, and error handling.
Work with Pandas and NumPy to implement, optimize, and debug data transformations and computations used by the product.
Support deployments and runtime configuration across AWS and Vercel (e.g., environment variables, build/deploy workflows, and monitoring signals).
Diagnose production issues end-to-end (UI → API → data processing) and implement fixes with strong test coverage where applicable.
Collaborate with teammates to refine system architecture as requirements evolve, keeping performance and reliability in mind.
Document changes and maintain understandable patterns so the codebase remains approachable.

We expect ownership: when a feature or fix is assigned, we want it to be delivered with clarity, quality, and a clear understanding of impact across the stack.

What we’re looking for

You’ll be most successful if you can connect the dots between UI behavior, API contracts, and the data-processing logic behind the results. We’re not only looking for someone who can “make changes”—we’re looking for someone who can reason about the whole system and improve it.

Strong Next.js experience (components, routing, performance considerations, and debugging).
Backend experience with FastAPI (API design, dependency patterns, validation, and handling edge cases).
Data-processing proficiency with Pandas and NumPy, including understanding performance implications and correctness.
Comfort with the full stack: you can explain how a change in the frontend affects API behavior and downstream data processing.
AWS and Vercel familiarity for deployment workflows, configuration, and operational troubleshooting.
Practical debugging skills across environments (local vs. staging/production).

Soft skills we value:

Ownership and a proactive mindset when requirements are not fully specified.
Clear communication - we want you to be comfortable explaining the nature of issues to non-technical team members and fielding feedback from the team.
Attention to detail for data correctness and reliability, especially in a data science-oriented application.
Team collaboration to iterate quickly while keeping the codebase maintainable.

If you enjoy working at the intersection of web engineering and data-heavy computation, and you understand that reliability matters as much as new features, we’d like to talk.

Desirable (nice to have)

Experience optimizing Pandas/NumPy workloads (profiling, vectorization strategies, memory/performance trade-offs).
Background in machine learning or data science pipelines (even if the product isn’t a full ML training system, we rely on data science-grade processing).
Experience with automated testing for APIs and data logic (unit/integration tests, test fixtures, and regression checks).
Familiarity with monitoring/observability practices (logs, metrics, tracing) to speed up incident resolution.
Experience refactoring legacy parts of a production codebase while minimizing risk.

Working model & next steps

We’ll align on the working arrangement (hybrid/remote details) and the expectations for the role during the process. We prioritize ownership, code quality, and clear communication, especially in a data-intensive environment.

If you enjoy working across the full stack—Next.js, FastAPI, and Pandas/NumPy computations—and want to maintain and evolve an existing production platform, we’d be happy to review your background.

GETONBRD Job ID: 61556

Trabajo 100% remoto El cargo puede ser desempeñado desde cualquier lugar del mundo.

Vestimenta informal DYO Investments no exige ningún código de vestimenta.

Política de trabajo remoto

Totalmente remoto

El trabajo es 100% remoto desde cualquier país.

Acerca de DYO Investments

Investment firm specializing in Self Storage. — Perfil completo de DYO Investments

Seguir