Full Stack Node.js/PostgreSQL Engineer with AI for Financial Institutions

Realdayeye

Badalona, Spain

23 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.jobleads.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Data Integrity Data Mining Relational Databases PostgreSQL Node.Js Query Optimization Azure Machine Learning Web Application Frameworks

+13 more

Cloud Platform System ReactJS System Availability Indexer Backend Vue.js Containerization Graphql Front End Software Development Api Design Restful APIs Automation Anywhere Docker

Job description

Role Description This is a full-time hybrid role based in Badalona, with flexibility for partial work from home. The Full Stack Node.js/PostgreSQL Engineer with AI for Financial Institutions will design, develop, and maintain scalable backend and frontend services that power RealDayEye’s AI-driven platforms for financial institutions and regulated environments. Day-to-day responsibilities include building and optimizing RESTful and/or GraphQL APIs in Node.js, designing robust PostgreSQL schemas and queries, and integrating AI components such as document processing and rules engines into production workflows. The engineer will collaborate with product, AI, and compliance teams to translate complex regulatory requirements into reliable technical solutions, improve system performance, security, and observability, and ensure high availability in a multi-tenant SaaS architecture. The role also involves writing clean, testable code, reviewing peer contributions, participating in architecture discussions, and supporting deployment and monitoring in cloud environments.

Requirements

Strong backend engineering skills with Node.js, including experience building APIs, handling authentication/authorization, and working with asynchronous patterns.
Proficiency with relational databases, especially PostgreSQL, including schema design, query optimization, indexing, and data integrity best practices.
Experience with frontend development using modern JavaScript frameworks (e.g., React, Vue, or similar) and building responsive, user-friendly interfaces.
Hands-on experience integrating AI/ML services or document AI workflows (e.g., OCR, data extraction, validation pipelines) into production systems.
Knowledge of cloud platforms (such as AWS, Azure, or GCP), containerization (Docker), and CI/CD pipelines for deploying and maintaining SaaS applications.
Familiarity with security, data privacy, and compliance considerations in financial or highly regulated domains, including auditability and traceability.
Comfort working in hybrid