Full Stack Engineer

Front End leaning Full-Stack Engineer

Work Type: Hybrid

Our client is a defense tech startup that builds AI-driven global domain awareness solutions for national security. We are looking for a front-end leaning Full-Stack Engineer who thrives at the intersection of high-performance UI development and large-scale data processing. This is an opportunity to take our analytics platform, which ingests and visualizes massive datasets, to the next level with cutting-edge front-end architectures, optimized data pipelines, and real-time interactivity.

What We’re Building

Our platform is engineered to process and visualize billions of data points in real-time, delivering insights to users with sub-100ms response times. We’re pushing the boundaries of:

High-performance web rendering (virtualized lists, canvas/WebGL for complex visualizations)

Ultra-low latency APIs (GraphQL with persisted queries, WebSockets for live updates)

Efficient state management (React Server Components, Zustand/Recoil for fine-grained reactivity)

Data-intensive UI components (drag-and-drop dashboards, interactive D3.js/Recharts graphs)

Edge compute & caching (Cloudflare Workers, Redis, CDN-backed query optimizations)

Tech Stack & Deep Cuts

Front-End: Next.js (App Router), Tailwind, Framer Motion for micro-interactions, Vite/Bun for blazing-fast builds

Back-End: FastAPI & Node.js, PostgreSQL (partitioned tables, pgvector for AI-driven recommendations), Redis (as a write-through cache for API acceleration)

Data Layer: Trino & DuckDB for in-memory analytics, OpenSearch for full-text search, Athena for real-time aggregations

Infrastructure: AWS Fargate for containerized services, Bedrock for AI-powered insights, Edge Functions for latency-sensitive workloads

You’re the right fit if you

Love UI performance optimization and know how to eliminate re-renders, optimize hydration, reduce and push client-side workloads to the edge.

Understand real-time data and how to structure WebSocket, gRPC connections, implement optimistic updates that eliminate stale data, and efficiently store time-series data.

Think like a product designer and obsess over UX flows, interaction design, and how complex data can be simplified for end-users.

Writes scalable and maintainable code involving TypeScript-first, modular components, clean API abstractions.