Senior Full Stack Platform Engineer (Cloud & AI Integration)

NXTGEN Industries; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

NXTGEN Industries is seeking a seasoned full‑stack engineer to shape and scale a platform that blends user‑facing applications, backend services, high‑throughput data pipelines, and AI processing. You will own architecture and implementation decisions, helping move and analyze large, varied data efficiently while keeping the platform responsive and cloud costs in check.

Flexible and remote arrangements are available anywhere in Australia.

Qualifications

• Experience building scalable web apps with JS/TS frameworks.
• Design of event-driven or queue-based worker systems in cloud environments.
• Strong relational DB design for analytical workloads.
• Experience with complex data formats (spatial data, imagery, 3D point clouds).
• Experience integrating ML/vision/LLMs into production web systems.

Responsibilities

• Architect and build production-ready full-stack applications for enterprise users.
• Design asynchronous cloud pipelines handling large data payloads at high throughput.
• Connect web services with ML, computer vision, LLM, and analytics services.
• Build cloud infrastructure for storage, messaging, and scalable background workers.
• Improve responsiveness and cost efficiency for analytical workloads and data visualization.

Skills

Full-stack JS/TS

Distributed/cloud design

Analytical DB design

ML/LLM integration

Tools

Node.js

Express

Next.js

React

Azure

AWS

GCP

PostgreSQL

Job description

Role overview

Shape and scale a full-stack platform that combines user-facing applications, backend services, high-throughput data pipelines, and AI processing. You will work across architecture and implementation, helping move and analyze large, varied data efficiently while keeping the platform responsive and cloud costs in check.

Responsibilities

• Architect and build production-ready full-stack applications for enterprise users.
• Design asynchronous cloud pipelines that process large data payloads at high throughput.
• Connect web services with machine learning, computer vision, language model, and analytics services.
• Build cloud infrastructure for storage, message brokering, and scalable background workers.
• Improve responsiveness and cost efficiency for analytical workloads and large-scale data visualization.

Requirements

• Deep experience building scalable web applications with JavaScript or TypeScript frameworks such as Node.js, Express, Next.js, or React.
• Track record designing event-driven or queue-based worker systems on Azure, AWS, GCP, or similar.
• Strong relational database schema design and optimization skills for analytical or spatial workloads.
• Experience with complex, data-heavy formats such as spatial data, 3D point clouds, sensor outputs, or large imagery.
• Practical experience integrating Python machine learning models, computer vision APIs, or LLMs into production web systems.
• Ability to own complex features end to end and balance quick iteration with sound system design.

Benefits and work setup

Flexible and remote arrangements are available anywhere in Australia. Offices are available in Melbourne and Sydney, with occasional site visits.