Principal AI Systems Engineer — GPU Infra & MLOps Leader

Radiant; United Kingdom; On-site; GBP 140,000 - 210,000; Full time

Benefits offered by this job

25 days annual leave

Health insurance via Bupa

Cycle to Work Scheme

Gympass subscription

Company shares program

Enhanced parental pay & leave

Job summary

Radiant is building AI-native cloud platforms and GPU infrastructure for demanding workloads. As a Principal Software Engineer you will set the technical direction for one of four teams: Infra & Cluster, Observability, MLOps Training, or MLOps Inference, and lead the design and delivery of distributed systems at scale.

You will work closely with product, SRE, network and storage teams, mentor engineers, and own performance, reliability and cost as the platform grows.

Qualifications

• Extensive experience building and operating large-scale distributed systems.
• Track record of technical leadership at staff or principal level.
• Strong hands-on engineering in Go, Python, or similar.
• Deep expertise in at least one of: Infra & Cluster, Observability, MLOps Training, MLOps Inference.

Responsibilities

• Set the technical vision and architecture for your team's area, and lead its design and implementation.
• Design and build distributed systems that run reliably on GPU infrastructure at scale.
• Translate product and customer requirements into robust architectures, APIs, and technical designs, working closely with Product.
• Own the performance, reliability, and cost of your team's systems as the platform grows.
• Partner with SRE, Infra Ops, and customers on operations, incident response, and the most demanding workloads.
• Raise the engineering bar across the organisation through mentoring, design and code review, and technical standards.

Skills

Go

Python

Distributed systems

Technical leadership

Cloud infrastructure

Tools

Prometheus

OpenTelemetry

Kafka

Slurm

NVIDIA Triton

Redfish

Job description

Radiant is building AI-native cloud platforms and GPU infrastructure for demanding workloads. As a Principal Software Engineer you will set the technical direction for one of four teams: Infra & Cluster, Observability, MLOps Training, or MLOps Inference, and lead the design and delivery of distributed systems at scale.

You will work closely with product, SRE, network and storage teams, mentor engineers, and own performance, reliability and cost as the platform grows.