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Full Stack Engineer (Mid-Level)

NEPA Works · Katmandou

Mid 🇬🇧 English
FastAPI JavaScript TypeScript UI libraries REST GraphQL SQL Data modeling Data warehouses OLAP Streaming AWS Azure Docker Kubernetes CI/CD Infrastructure as Code Observability Monitoring

Job description

About the role

We are seeking a mid‑level Full Stack Engineer to help design and build a next‑generation Business Intelligence (BI) platform that integrates Artificial Intelligence and Machine Learning. The position is night‑shift, onsite, and will involve creating scalable APIs, interactive dashboards, and AI‑driven analytical features.

Key responsibilities

  • Develop full‑stack applications that power the BI platform, including backend APIs, data processing pipelines, and frontend dashboards.
  • Design and implement API‑first architecture using FastAPI for data services, integrations, and AI features.
  • Collaborate with data scientists to embed machine‑learning models and AI capabilities such as natural‑language queries, predictive analytics, and anomaly detection.
  • Ingest, transform, and model structured and unstructured data from multiple sources for real‑time and historical analysis.
  • Create modern, responsive dashboards and visualizations that deliver a smooth user experience across devices.
  • Implement CI/CD pipelines, monitoring, and cloud‑native infrastructure to ensure performance, reliability, and security.

Required profile

  • Mid‑level experience (2+ years) with FastAPI and building scalable APIs.
  • Strong front‑end skills with modern JavaScript/TypeScript frameworks and UI libraries for dashboard development.
  • Solid SQL and data‑modeling abilities, familiar with data warehouses, OLAP, or streaming platforms.
  • Experience (1+ year) with cloud platforms such as AWS or Azure, containerization (Docker, Kubernetes), and Infrastructure as Code.
  • Knowledge of authentication, authorization, and role‑based access control.

Required skills

  • FastAPI
  • JavaScript / TypeScript
  • Modern JS/TS frameworks (e.g., React, Vue, Angular)
  • UI libraries for data visualization
  • REST and GraphQL API design
  • SQL and data modeling
  • Data warehouses / OLAP / streaming concepts
  • AWS or Azure
  • Docker
  • Kubernetes
  • CI/CD pipelines
  • Infrastructure as Code
  • Observability and monitoring practices

What we offer

  • Opportunity to build a cutting‑edge BI platform with AI/ML integration.
  • Growth‑oriented, collaborative, and innovative work environment.

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NEPA Works

Katmandou