Backend Platform Engineer (Go) – AI Infra & Equity in London

Backend Platform Engineer (Go) – AI Infra & Equity in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Build platform services and write production-grade Go code for AI infrastructure.
  • Company: Join a forward-thinking company focused on digital innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Dynamic role with a focus on multi-cloud orchestration and resource management.
  • Why this job: Make a real impact in AI while collaborating with customers and teams.
  • Qualifications: Experience in backend development and a passion for scalable solutions.

The predicted salary is between 50000 - 70000 Β£ per year.

United States Digital Space LLC is seeking a backend engineer to build platform services across the Compute and Inference platforms, focusing on multi-cloud orchestration, resource management, and scalable model deployment pipelines. You will write production-grade Go code, design APIs and data models, and ensure reliability through tests, monitoring, and incident response; the role blends core infrastructure work with product impact and customer collaboration.

Backend Platform Engineer (Go) – AI Infra & Equity in London employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Backend Platform Engineer (Go) – AI Infra & Equity in London

Go Programming
API Design
Data Modelling
Multi-Cloud Orchestration
Resource Management
Scalable Model Deployment
Production-Grade Code Development