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Radiant

Principal Infrastructure Engineer – Platform

Radiant

. Architect, design, and implement virtualisation solutions optimised for AI-native workloads, HPC environments, and hypervisor tuning .

Posted 10/13/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and implementing scalable infrastructure solutions optimized for AI-native workloads and HPC environments, with a strong focus on Kubernetes management, Infrastructure-as-Code, and security best practices. Proven ability to lead cross-functional teams and mentor peers while delivering high-performance cloud-native storage and networking solutions.

Highest-signal resume keywords
Infrastructure ArchitectureKubernetes ManagementInfrastructure-as-CodeVirtualisation TechnologiesCloud-Native Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KubernetesTerraformAnsibleGoPythonTCPUDPDNSBGPSDN
Soft Skills
CommunicationCollaborationMentoring
Tools & Technologies
PrometheusGrafanaCI/CD PipelinesHypervisor TuningObservability Pipelines
Industry Keywords
AI-Native WorkloadsHPC EnvironmentsCloud Control PlanesSupply-Chain SecurityService Mesh Technologies

Tech Stack

Tools & technologies
AnsibleCloudDNSGrafanaKubernetesLinuxPrometheusPythonTerraformUnixGo

About the role

Key responsibilities & impact
  • Architect, design, and implement virtualisation solutions optimised for AI-native workloads, HPC environments, and hypervisor tuning
  • Design resilient and scalable infrastructure that dynamically adjusts storage and networking resources to customer demand
  • Lead lifecycle management, provisioning, orchestration, and optimisation of bare-metal hardware
  • Maintain secure and performant Unix/Linux configurations at scale
  • Design and implement high-performance cloud-native storage and networking solutions
  • Apply advanced networking protocol and software-defined networking knowledge
  • Deploy and manage Kubernetes clusters across hybrid and multi-cloud environments
  • Architect CI/CD pipelines for automated infrastructure delivery and reliable global operations
  • Harden Kubernetes security using RBAC, network policies, admission controllers, and related tools
  • Manage secrets and rotation across clusters
  • Implement supply-chain security through image scanning, signed artifacts, and provenance attestation
  • Design IAM and least-privilege controls across infrastructure and cloud control planes
  • Build observability pipelines for logs, metrics, and tracing
  • Create automation frameworks using Terraform, Ansible, Go, and Python
  • Evaluate emerging technologies and develop high- and low-level architectural proposals
  • Collaborate with cross-functional engineering and product teams
  • Provide architecture thought leadership and mentor team members
  • Partner with engineering leaders and stakeholders on infrastructure initiatives

Requirements

What you’ll need
  • Proven experience in infrastructure architecture and solution design, including producing detailed technical proposals
  • Demonstrated success evaluating and adopting new toolsets and technologies
  • Extensive expertise in large-scale global infrastructure deployments, particularly in AI-native, HPC, and cloud-native environments
  • Advanced knowledge of Kubernetes fundamentals, container networking (CNI), and service mesh technologies
  • Deep understanding of virtualisation and hypervisor technologies for high-performance workloads
  • Strong proficiency in TCP, UDP, DNS, BGP, and SDN solutions
  • Skilled in Infrastructure-as-Code tools such as Terraform and Ansible
  • Hands-on coding experience in Go, Python, or similar languages for automation
  • Solid grasp of Prometheus, Grafana, and distributed tracing systems
  • Strong communication and collaboration skills
  • Ability to create clear and concise infrastructure documentation
  • Nice to have: AI/ML workloads, GPU-accelerated systems, HPC infrastructures, GPU partitioning with MIG, NVIDIA GPU Operator, InfiniBand, RoCEv2, GPUDirect, Ceph, parallel filesystems, hybrid cloud, edge computing, and agile architecture leadership

Benefits

Comp & perks
  • Work on a rapidly scaling AI infrastructure business at the forefront of the industry
  • Broad exposure to a cutting-edge physical & software infrastructure stack
  • Resources, mentorship, and genuine growth opportunities in a Brookfield-backed company
  • Career development opportunities
  • Genuine value placed on employee contributions