Full Stack Technologist

Transformative Full Stack Engineer

We are seeking a visionary Full Stack Developer to architect and build the front-end and back-end systems for our contextual decision intelligence platform. You will work closely with our AI Engineers to create a scalable, intuitive platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models.

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

Job Overview

We are looking for a Senior Full Stack Engineer to drive the development of user-facing solutions built on our custom graph database and high-performance analytics engine. You will work with advanced backend technologies—Hadoop, Apache Spark, and Scala—to deliver high-impact data applications, real-time dashboards, and intuitive interfaces that make complex analytics accessible to business users.

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:

• Build responsive, scalable web apps (React/TypeScript) 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:

• 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:

• 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

Requirements:

• Atleast 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:

Join our team of passionate innovators and take advantage of the following benefits:

• 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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