
Visionary Data Architect
1 week ago
We are seeking a highly skilled and experienced Senior Full Stack Engineer to join our team. As a key member of our engineering group, you will be responsible for designing and developing cutting-edge software solutions that drive business growth and innovation.
Job Description:The successful candidate will have a strong background in full-stack development, with expertise in React, TypeScript, D3.js, WebGL, Node.js, Python, Scala, and Hadoop/Spark. You will work closely with our data engineers to design and implement scalable data pipelines, and collaborate with our AI team to develop explainable AI models.
Key responsibilities include:
- Designing and implementing responsive, scalable web applications using React and TypeScript.
- Developing interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly.
- Optimizing frontend performance for real-time exploration of large, multi-dimensional datasets.
- Implementing advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization.
In addition to technical skills, the ideal candidate will possess excellent problem-solving skills, a strong attention to detail, and the ability to communicate complex ideas effectively.
Requirements:To succeed in this role, you should have:
- 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.
- Graph Investigation Console: Visual interactive exploration of enterprise networks with millions of entities.
- Entity Resolution Workbench: Approve and audit entity matches with explainable analytics at scale.
- Analytics Dashboards: Real-time operational, risk, and business metric monitoring processing TB of data.
- Advanced Reporting Interfaces: Visualize supply chain, ESG, and other key KPIs with sub-second response.
- Custom Graph Explorer: Navigate and analyze hidden relationships in enterprise data using our proprietary graph engine.
- Impact: Shape the architecture of an essential platform for enterprise decision-making.
- Innovation: Work on proprietary graph technology, big data pipelines, and cutting-edge AI.
- Growth: Influence core engineering and play a central role in building the early team.
- Learning: Comprehensive onboarding on our proprietary systems with continuous learning opportunities.
- Flexibility & Equity: Significant early-stage equity, learning resources, and a high-impact remote-first culture.
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