Enterprise Full Stack Developer

Role Overview

We are seeking an experienced full-stack developer to architect and build scalable, intuitive front-end and back-end systems for our platform.

You will collaborate closely with our AI Engineers to create a cutting-edge platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models.

This is an opportunity to solve intricate technical challenges, from real-time large data processing to interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence, and promotes ethical decision-making.

Main Responsibilities

• Front-End Development: Build responsive, scalable web apps (React/TypeScript) for advanced enterprise analytics and data visualization
• Graph Visualizations: Develop interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly
• Optimization: Optimize frontend performance for real-time exploration of large, multi-dimensional datasets
• Design: Design interfaces for explainable AI and complex entity relationship analytics
• Advanced Rendering: Implement advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization

• Back-End Development: Architect and implement fast, scalable GraphQL/REST APIs with sub-second response times for analytics, entity resolution, and graph queries
• Microservices: Develop and orchestrate microservices using Node.js, Python, Scala
• Data Pipelines: Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput
• Integration: Integrate backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database
• Graph Analytics: Work with our custom graph query language and SDKs to expose graph analytics capabilities

• Deployment: Deploy, scale, and monitor services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub)
• Serverless Workflows: Implement cloud functions and serverless analytics workflows
• Large-Scale Data Processing: Design and optimize large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark
• Collaboration: Collaborate with data engineers on ETL processes, data architecture, and real-time data integration strategies
• Platform Reliability: Ensure platform reliability with 99.9% uptime SLAs

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 and Opportunities

• Impact: Shape the architecture of a critical 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