Enterprise Solutions Architect

7 days ago

Varanasi, Uttar Pradesh, India beBeeEngineer Full time US$ 2,00,000 - US$ 2,30,000
Sr. Full Stack Engineer - Enterprise Analytics

We are seeking a highly skilled and experienced Sr. Full Stack Engineer to join our team. This individual will be responsible for designing, developing, and implementing cutting-edge analytics solutions using a range of technologies.

Job Description:
  • Frontend Development (40%):
    • Develop responsive web applications using React/TypeScript for advanced enterprise analytics and data visualization.
    • Create 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.
  • 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.
  • 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.
Required Skills and 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, TypeScript, D3.js, WebGL, Node.js, Python, Scala.
  • Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics.
  • Experience building rich data visualizations and enterprise dashboards handling millions of data points.
  • Proficient in API design (GraphQL/REST), microservices, and optimizing for real-time and large-scale data flows.
  • Database exposure: PostgreSQL, Redis, Elasticsearch; experience designing or scaling custom graph engines a plus.
  • GCP experience with services like GKE, Pub/Sub, BigQuery, and Cloud Run.
Benefits:

This is a chance to shape the architecture of an essential platform for enterprise decision-making.

Work on proprietary graph technology, big data pipelines, and cutting-edge AI.

Influence core engineering and play a central role in building the early team.

Comprehensive onboarding on our proprietary systems with continuous learning opportunities.

Significant early-stage equity, learning resources, and a high-impact remote-first culture.

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