Radiant

Technology

CloudSupportEngineer(L2)

£60–85k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Cloud Support Engineer (L2) at Radiant. Skills: Cloud support, Infrastructure troubleshooting, Customer support. Maintain customer satisfaction. Deliver customer support”

What You'll Achieve.

Ensure brightest minds remain delighted; Establish Radiant as specialist cloud provider; Provide highest quality of service; Receive timely support; Receive professional support; Receive high-quality support

Industry & Context.

Technology
Problems you'll solve

Problem-solving skills; Troubleshoot complex technical issues

Eligibility Requirements

24/7 support participation, On-call rota, Work outside standard business hours

What They're Looking For.

Must Have

Customer-facing technical support experience, Solid IT infrastructure fundamentals, Background in customer-facing technical support, Foundation in Linux system administration, Proven experience with cloud, datacenter, and Linux environments

Nice to Have

Familiarity with IT service management practices

What You'll Do.

Maintain customer satisfaction

Deliver customer support

Respond to customer queries

Gather relevant information

Drive issues toward resolution

Diagnose hardware issues

Debug software issues

Resolve incidents independently

Propose effective workarounds

Escalate complex issues

Coordinate corrective actions

Restore affected systems

Participate in support model

Handover tickets between regions

Collaborate with third-party vendors

Coordinate diagnostics

Coordinate hardware replacements

Support deployment of AI supercomputers

Assist with installation

Assist with configuration

Assist with validation

Assist with acceptance testing

Contribute to troubleshooting guides

Contribute to runbooks

Contribute to internal documentation

Participate in retrospectives

Suggest improvements to processes

Suggest improvements to tools

Suggest improvements to platforms

How You'll Work.

Team & Collaboration

Engineering teams; Third-party suppliers; L3 and L4 support teams; Globally distributed organisation; Support teams; Product teams

Communication Scope

Explain technical concepts

Full Job Description

Job Summary: We are seeking a highly skilled Cloud Support Engineer to join our global Customer Support team. The primary goal of this team is to delight our customers worldwide by ensuring that any incident related to Radiant’s Cloud Platform, High Performance Computing (HPC), and AI supercomputer fleet (some of the fastest machines in the world) is resolved swiftly and decisively in collaboration with our engineering teams and third-party suppliers. The Support team delivers 24/7, 365 on-call support using a “follow the sun” model to handle and resolve customer queries. As a Cloud Support Engineer, you will be a hands-on technical contributor, responsible for triaging, diagnosing, and resolving complex infrastructure issues while providing an exceptional customer experience. Past HPC or AI experience is not required. However, this role requires a strong background in customer-facing technical support, solid IT infrastructure fundamentals, and a desire to grow expertise in next-generation HPC and AI technologies such as GPUs, InfiniBand, parallel storage, and AI orchestration software. This is an excellent opportunity for an experienced support engineer to enter the AI infrastructure space and develop cutting-edge technical skills in a fast-growing industry. About our team: Radiant is at the forefront of AI infrastructure, revolutionising the connection between software and hardware for the AI era. Our mission is to empower AI teams with scalable, secure, and efficient infrastructure solutions that support seamless model training, deployment, and scaling. Join a team operating some of the world’s most advanced high-performance computing infrastructure. As a Cloud Support Engineer, you will support cutting-edge GPU and CPU platforms — including the latest NVIDIA architectures — powering dense, large-scale compute environments used for AI, machine learning, and next-generation workloads. This is an opportunity to build expertise at the forefront of modern infrastruct

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