Senior Backend Software Engineer (AI Infrastructure / Artifact Management) – Developer Services

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

United States Digital Space LLC in Greater London is seeking a Senior Backend / AI Infra Engineer to design, build, and evolve our R&D infrastructure, spanning build systems, artifact management, data distribution, and the software supply chain.

You will enable multi-language and multi-architecture support, scale AI training and inference pipelines, and drive a company-wide ecosystem for AI extensibility, Skills, and Plugins, while improving throughput, reliability, and developer experience.

Qualifications

• Bachelor's degree in CS or related field and experience building large backend systems.
• Proficiency in Go, Java, C++, Python, or Rust with strong CS fundamentals.
• Experience with distributed systems including storage, caching, or observability.

Responsibilities

• Design and evolve R&D infrastructure across build systems and data distribution.
• Build infrastructure for AI training/inference with multi-language support.
• Develop the Skill Market ecosystem for Skills and Plugins governance.
• Explore AI technologies to build domain-specific Agents and automated remediation.
• Architect distributed systems to improve throughput, observability, and reliability.

Skills

Backend architecture

Distributed systems

Go

Java

C++

Python

Rust

CI/CD

Observability

Problem solving

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Kubernetes

AWS/GCP/Azure

Git

Job description

Location:

Team:

Technology

Employment Type:

Regular

Job Code:

A152351A

Responsibilities

1. Design, develop, and continuously evolve the company’s R&D infrastructure across build systems, artifact management, data distribution, and software supply chain. Deliver stable, efficient, and easy-to-use platform capabilities that support multiple programming languages, hardware architectures, and global software delivery;
2. Build infrastructure for large-scale AI training and inference. Drive performance and efficiency improvements across container image build, image and artifact distribution, caching, storage, and cross-region data transfer to address the challenges of high concurrency, massive throughput, and rapid scaling;
3. Build and evolve a company-wide ecosystem for AI extensibility and the Skill Market, serving both the company-wide public marketplace and private team workspaces. Support the development, versioning, publishing, distribution, quality evaluation, and governance of Skills, Plugins, and other extension formats, making AI capabilities easier to create and adopt;
4. Explore and apply AI technologies to build domain-specific Agents. Turn domain knowledge, business data, and system tools into capabilities that can be understood, invoked, and executed by Agents. Address challenges in build troubleshooting, on-call operations, SDK dependency upgrades, risk governance, fault diagnosis, and automated remediation, advancing AI from assisted analysis toward closed-loop resolution;
5. Architect and optimize large-scale distributed systems to continuously improve throughput, reliability, observability, and developer experience. Work closely with engineering, security, infrastructure, and AI business teams to understand real-world requirements and drive complex projects from design to adoption at scale.

Qualifications

• Minimum Qualifications: Bachelor's degree or higher in Computer Science or a related field, with experience in designing, building, and continuously evolving large-scale backend systems;
• Proficiency in one or more programming languages, such as Go, Java, C++, Python, or Rust, with strong computer science fundamentals, sound coding practices, and solid engineering skills;
• Familiarity with distributed systems and hands‑on experience in one or more areas such as storage, computing, task scheduling, caching, messaging, observability, or reliability engineering;
• Strong problem‑solving, system design, and execution skills, with the ability to diagnose issues across complex system paths and drive long‑term, systematic solutions;
• Curiosity and enthusiasm for technology, an interest in applying AI to software engineering, strong learning and ownership, and the ability to communicate, collaborate, and drive projects effectively.

Preferred Qualifications

• Experience in DevOps, CI/CD, build systems, artifact repositories, cloud‑native technologies, or software supply chain security;
• Hands‑on experience with AI Agents, RAG, tool use, MCP/Skills, AI evaluation, or AI observability;
• Experience with large‑scale distributed systems, globally distributed multi‑region systems, or infrastructure for AI training and inference, or contributions to relevant open‑source communities.

Diversity & Inclusion

The company is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At the company, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.