Client-Facing Fintech Engineer with Stock Options

RiskPod

Madrid

Presencial

EUR 60.000 - 80.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Stock options
Bonus potential up to 30%

Descripción de la vacante

RiskPod, a VC-backed fintech, seeks a Forward Deployed Engineer to own the lifecycle from signed facility to live production deals. You will design deal schemas, eligibility rules, and on-chain transaction builders, while coordinating client sessions and delivering robust data ingestion and runbooks.

The role emphasizes end-to-end ownership, direct client-facing experience, and strong Python/postgreSQL/AWS skills, with a focus on clean architecture and real-world data handling.

Formación

  • 5+ years software engineering with strong software architecture skills.
  • Production Python stack: FastAPI, Pydantic, PostgreSQL, AWS.
  • Direct client-facing technical experience and ownership of end-to-end delivery.
  • Fluency with real-world data, SQL, and data reconciliations; API integration.

Responsabilidades

  • Own the path from signed facility to a running deal in production.
  • Define deal schemas, eligibility rules, borrowing base and covenants.
  • Build and reconcile client data ingestion and reporting workflows.
  • Collaborate with product engineering and operations for runbooks.

Conocimientos

Software engineering
Hexagonal architecture
Python
FastAPI
Pydantic
PostgreSQL
AWS
Client-facing experience
SQL
Data reconciliation
API integration
AI-assisted development
English proficiency

Herramientas

FastAPI
Pydantic
PostgreSQL
AWS

Descripción del empleo

RiskPod, a VC-backed fintech, seeks a Forward Deployed Engineer to own the lifecycle from signed facility to live production deals. You will design deal schemas, eligibility rules, and on-chain transaction builders, while coordinating client sessions and delivering robust data ingestion and runbooks.

The role emphasizes end-to-end ownership, direct client-facing experience, and strong Python/postgreSQL/AWS skills, with a focus on clean architecture and real-world data handling.

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