
Enterprise Solutions Architect
6 days ago
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.
- 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.
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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