Full Stack Software Engineer - Forward Deployed Europe

Applied Computing Technologies Ltd
Charing Cross, United Kingdom
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data Integration
Software Debugging
Linux
Web Development
Django
Identity and Access Management
Python
Message Broker
Node.js
Performance Tuning
RabbitMQ
TypeScript
Data Processing
Scripting (Bash/Python/Go/Ruby)
React
Backend
FastAPI
Kubernetes
Kafka
Cloudwatch
Docker
Microservices

Job description

We're building Orbital, an industrial AI system that lives inside refineries and upstream assets, serving real-time insights to operators, technologists, and engineers. As a Forward Deployed Full Stack Engineer, you'll make Orbital usable on the ground: building interfaces, APIs, and integration layers that bring AI outputs directly into operational workflows. This isn't a typical web dev role. You'll work across back-end services, APIs, and industrial integrations, while also shaping front-end interfaces that can survive operator control rooms and engineering workflows. You'll be customer-facing: working directly with site teams, adapting features in real time, and making sure the system sticks in production. You won't just productionise models, you'll install Orbital on customer sites, integrate with live historian and process data pipelines, and ensure the system runs inside customer IT/OT networks.

Requirements

Scripting, Express, Aws, Performance Tuning, Data Integration, Node.Js, Django, Python, Microservices, * Strong proficiency in JavaScript/TypeScript (React, Node.js) and back-end frameworks (FastAPI, Express, Django).

  • Solid working knowledge of Python for scripting, APIs, and data integration.
  • Experience building containerised microservices (Docker, Kubernetes/EKS).
  • Familiarity with message brokers (Kafka, RabbitMQ).
  • Proficiency with Linux environments (deployment, debugging, performance tuning).
  • Hands-on experience with AWS (EKS, S3, IAM, CloudWatch, etc.).
  • Bonus: exposure to time-series/industrial data and operator-facing dashboards.
  • Comfort working in forward-deployed, on-premise customer environments.

Apply for this position