Experienced Full Stack Developer Wanted

2 days ago

Gandhinagar, Gujarat, India beBeeFullStackEngineer Full time US$ 1,29,600 - US$ 1,98,000

Job Overview

We are seeking a skilled Full Stack Engineer to design and develop user-facing solutions built on our custom graph database and high-performance analytics engine.

This role requires building systems that handle visualization of graphs with millions of nodes, deliver sub-100ms API response times at scale, and process TB-scale datasets in real-time.

Key Responsibilities:

  • Data Visualization & Frontend Development (40%): Build responsive, scalable web applications for advanced enterprise analytics and data visualization; Develop 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 (WebGL, canvas virtualization) for massive dataset visualization
  • Backend & API Development (35%): Architect and implement fast, scalable GraphQL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries; Develop and orchestrate microservices using Node.js, Python, Scala; Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput; Integrate backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database; Work with our custom graph query language and SDKs to expose graph analytics capabilities
  • Cloud Infrastructure & Data Platform (25%): Deploy, scale, and monitor services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub); Implement cloud functions and serverless analytics workflows; Design and optimize large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark; Collaborate with data engineers on ETL processes, data architecture, and real-time data integration strategies; Ensure platform reliability with 99.9% uptime SLAs

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