Enterprise Full-Stack Engineer: Deploy & Integrate Orbital

Applied Computing; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Applied Computing seeks a Forward Deployed Full Stack Engineer to deploy and operationalise Orbital in real customer environments. You will configure, customise, and deploy full‑stack applications across cloud, on‑premise, and air‑gapped networks, adapting interfaces and extending APIs with customer IT teams.

You will work with data and ML engineers to deliver production‑grade interfaces, dashboards, and secure integrations, while maintaining reliability and support for enterprise users in oil,

Qualifications

• Experience deploying enterprise-grade applications in complex environments.
• Ability to configure, customise and operationalise applications inside customer environments.
• Proficiency with frontend and backend web stacks including JS/TS, Python, and REST/GraphQL APIs.

Responsibilities

• Deploy Orbital full‑stack apps into customer environments (cloud, on‑prem, hybrid).
• Configure customer environments, networking, and access layers.
• Customise UI components, workflows, and feature configurations per use case.
• Implement customer branding and report templates for dashboards.
• Ensure secure, scalable, and production‑ready deployments across environments.
• Work directly with customer IT/OT teams to enable integrations.
• Collaborate with pods of ML/AI, Data Engineers to deliver 2–3 deployments per quarter.
• Troubleshoot infrastructure, networking, and deployment issues in production.

Skills

JavaScript/TypeScript

React

Node.js

FastAPI

Express

Django

Python

Docker

Kubernetes

Kafka/RabbitMQ

PostgreSQL

Linux

Tools

Docker

Kubernetes

PostgreSQL

FastAPI

Express

Django

Job description

Applied Computing seeks a Forward Deployed Full Stack Engineer to deploy and operationalise Orbital in real customer environments. You will configure, customise, and deploy full‑stack applications across cloud, on‑premise, and air‑gapped networks, adapting interfaces and extending APIs with customer IT teams.

You will work with data and ML engineers to deliver production‑grade interfaces, dashboards, and secure integrations, while maintaining reliability and support for enterprise users in oil,