Chief Enterprise Software Architect

16 hours ago

Meerut, Uttar Pradesh, India beBeeEnterprise Full time ₹ 17,50,000 - ₹ 23,45,000

Mission Critical Opportunity: Architect Frontend/Backend Systems for Contextual Decision Intelligence Platform

A passionate and sharp Full Stack Developer is sought to design and build scalable, intuitive platforms that visualize complex network relationships, deliver real-time risk scores, and integrate with advanced AI models. The ideal candidate will collaborate closely with AI Engineers to create a cutting-edge platform that fights financial crime, builds customer intelligence, and promotes ethical decision-making.

This opportunity presents a chance to solve intricate technical challenges from real-time large data processing to interactive graph visualizations while contributing to a mission that drives business value.

  • Develop responsive, scalable web apps (React/Type Script) for advanced enterprise analytics and data visualization.
  • Implement interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly.
  • Optimize frontend performance for real-time exploration of large, multi-dimensional datasets.
  • Design interfaces for explainable AI and complex entity relationship analytics.
  • Implement advanced rendering techniques (Web GL, canvas virtualization) for massive dataset visualization.

Key Responsibilities:

  • Frontend & Visualization (40%): Build responsive, scalable web apps for advanced enterprise analytics and data visualization.
  • Backend & API Development (35%): Architect and implement fast, scalable Graph QL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries.
  • Cloud Infrastructure & Data Platform (25%): Deploy, scale, and monitor services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub).

Required Qualifications:

At least 5–8+ years' experience as a full stack engineer in analytics, big data, or enterprise environments.

Strong hands-on experience with React, Type Script, D3.js, Web GL, Node.js, Python, Scala, Hadoop, and Apache Spark.

Experience building rich data visualizations and enterprise dashboards handling millions of data points.

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