FewerJobs.
Employers

Employer profile

Radiant

19 open roles indexed with location, benefit, and apply-link signals where available.

Employer site ATS: ashby Top-startup signal

Open roles

Showing the most recent indexed roles for this employer.

Search all matching jobs

  • Senior Talent Partner

    London, England, United Kingdom

    unspecified Salary not disclosed

    Senior Talent Partner London, England, United Kingdom About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale - powering GPU-native workloads, multi-tenant control planes, and high-performance AI systems for the most demanding environments. We're not building a generic cloud. We're building purpose-built AI infrastructure from powered land, to compute, to software. About the role As we scale and grow the engineering org, we're hiring a Talent Partner to own technical recruitment end-to-end. You'll partner directly with the People Manager and our engineering/product leaders to bring in the people who'll build a new category of infrastructure. This is a foundational hire on the People team; you'll shape how Radiant hires, working closely with our founders and leadership team on every hire - this is not a role where you sit between the business and the candidates. You'll be in the room, shaping decisions, and representing Radiant at its best. What you'll do - Employer Branding - Help develop compelling employer branding for Radiant. Work with the People Manager to articulate the company mission, culture, and employee value proposition to attract top talent. - Full Lifecycle Recruitment - Own the end-to-end recruitment process for roles across engineering, product, platform, and operations, from role definition through to offer. Deliver an exceptional candidate experience throughout. - Stakeholder Management - Act as a trusted advisor to hiring managers on recruitment strategy and market trends. Challenge hiring briefs and provide guidance on role

  • Data Centre – Delivery Manager

    London, England, United Kingdom

    unspecified Salary not disclosed

    Data Centre – Delivery Manager London, England, United Kingdom Company Overview: Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software. As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace This is a cross-functional role requiring strong technical, commercial, and project delivery capabilities, with exposure to executive stakeholders, colocation operators, utilities, OEMs, engineering firms, and construction partners. What You'll Do As part of our Data Centre Delivery team, you will help scale our global AI infrastructure footprint by supporting the acquisition, deployment, and delivery of high-performance data centre capacity. This role combines technical due diligence, project delivery, stakeholder management, and infrastructure deployment across colocation, fit-out, and development projects. Key Responsibilities Data Centre Due Diligence & Site Selection - Support the evaluation and selection of colocation and powered land opportunities globally. - Conduct technical due diligence covering power, cooling, connectivity, resilience, sustainability, and operational readiness. - Assess facilities for high-density AI workloads, liquid cooling, and next-generation GPU deployments. - Review technical designs, MEP systems, and operational standards. - Support supplier evaluations and technical input into commercial negotiations. Infrastructure Delivery - Manage the

  • Infrastructure Tooling & Observability Engineer( UK)

    London, England, United Kingdom

    unspecified Salary not disclosed

    Infrastructure Tooling & Observability Engineer( UK) London, England, United Kingdom About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are seeking an Infrastructure Tooling & Observability Engineer to act as a key engineering force within our global Infrastructure Operations organisation. Working closely with our SRE teams, you will translate high-level reliability objectives into scalable, production-ready systems that directly improve the resilience, efficiency, and performance of our global infrastructure. This role goes beyond traditional monitoring. You will help design and build the internal control plane that enables operations at scale across a rapidly growing GPU fleet. Your work will focus on transforming complex, high-volume telemetry-spanning logs, metrics, and events across HPC, networking, and platform layers-into actionable insight that drives operational excellence and proactive reliability. A core part of your responsibility will be developing intelligent observability and automation systems, including advanced alerting strategies, anomaly detection, and AI-driven tooling that reduces L1/L2 escalations and removes operational toil. You will also contribute to Continual Service Improvement (CSI) initiatives by building frameworks for reliability measurement, automated remediation, and system health evaluation. In addition, you will play a central role in turning SRE reliability initiatives into scalable engineering solutions. This includes designing and delivering capabilities such as inventory management systems, performance testing frameworks, and automated performance result collection. You will also help eliminate manual workflows involved in

  • Datacentre Operations Engineering

    Paris Saclay

    unspecified Salary not disclosed

    Datacentre Operations Engineering Paris Saclay About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are seeking a deeply technical, hardware-passionate Datacentre Operations Engineer to execute on-the-ground operations for our Paris-Saclay deployment-Radiant's premier, cuttingedge AI infrastructure site in Europe. This role focuses on delivering precise, repeatable physical practices-including advanced smart-hands support, complex cabling, and hands-on operation of advanced liquid cooling and ultra-high-density compute systems-to guarantee world-class SLAs on next-generation hardware architecture. Working closely with Infrastructure (HPC) SRE, Network Engineering, and Datacentre Strategy teams, you will uphold uncompromising standards on the data centre floor. You will live and breathe the hardware, maintaining elite facility reliability through hands-on deployment, proactive maintenance, rapid incident response, and structured break/fix execution across advanced liquid cooling systems, busbar-based high-density power distribution, and next-generation GPU compute platforms. The role centres on technical execution and optimised output. You will turn global engineering standards into flawless, repeatable daily routines, continually honing on-the-ground practices to keep our most advanced hardware running at peak performance. Experience with NVIDIA NVL72- class or busbar/high-density compute is strongly valued; candidates who can demonstrate a strong aptitude and clear willingness to train to operational proficiency on these platforms are equally welcome. As Radiant expands its EMEA footprint, your relentless drive for hardware perfection and proven field expertise with high-density environments will serve as the operational blueprint to

  • Datacentre Operations Engineer

    Dallas-Fort Worth, United States

    unspecified Salary not disclosed

    Datacentre Operations Engineer Dallas-Fort Worth, United States About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We're looking for a qualified, experienced Datacentre/Hardware Engineer to run our muli-million dollar HPC infrastructure based in Dallas Fort Worth, US. You'll be well versed with managing and optimising datacentres, dealing promptly with hardware failures, optimising environmental performance as well as deploying new hardware and services 24/7 x 365. You'll be hands on with high performing HPC compute and will operate with utmost diligence, professionalism and focus to ensure the equipment underpinning our services operate at peak performance. Key Responsibilities - Troubleshooting and Support: Quickly diagnose and resolve hardware and network issues to maximise uptime. - Respond to critical hardware alerts via our monitoring and observability platform. Contribute to ongoing service improvement to improve our monitoring capability - RMA and Support: Manage vendor relationships, handling RMAs and support requests within Ori's Service Level Objectives (SLOs) to meet customer contract SLAs. - Data Center Management: Guide data center acquisition, setup, and ongoing maintenance, fostering compliance and leveraging strong vendor partnerships. - Fully own acquisition of hardware assets from the point of purchase and delivery, through lifecycle management and disposal - all while owning asset management within ORI's CMDB system. - Hardware Installation and Maintenance: Deploy and maintain HPC and AI hardware for uninterrupted operations, including performing low-level

  • Datacentre Operations Engineering Lead

    Paris Saclay

    unspecified Salary not disclosed

    Datacentre Operations Engineering Lead Paris Saclay About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are seeking an exceptional Datacentre Operations Engineering Lead to own the operational buildout, stabilisation, and long-term SLA execution of our Paris-Saclay deployment-Radiant's flagship AI infrastructure site in Europe. This is a location senior technical leadership role with full accountability for on-the-ground engineering execution, team performance, and the continuous elevation of operational standards across next-generation, ultra-high-density hardware architecture. You will take command of site commissioning and drive it through to operational steady state-establishing non-negotiable physical standards, embedding advanced liquid cooling workflows, and instituting rigorous working practices for high-density power distribution directly on the data centre floor. You will be the definitive technical authority at the site: the person who sets the bar, enforces it, and continuously raises it. Working in close partnership with Infrastructure (HPC) SRE, Network Engineering, and Datacentre Strategy teams, you will translate organisational engineering standards into flawlessly executed daily operations. Your most critical mandate in your first months is to become the recognised expert on the site's most demanding systems-including NVIDIA NVL72-class and busbar-based ultra-high-density compute platforms-and to define and document the working practices that will make these systems reliably supportable at scale. As Radiant expands its EMEA footprint, the operational blueprints, team capability, and cultural standards you establish here will directly shape how

  • HPC Infrastructure Site Reliability Engineer

    Gloucestershire, United Kingdom, London

    unspecified Salary not disclosed

    HPC Infrastructure Site Reliability Engineer Gloucestershire, United Kingdom, London About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are looking for a senior Infrastructure Site Reliability Engineer with deep experience operating large-scale distributed systems and recent hands-on expertise in high-performance computing (HPC) and AI infrastructure. This is an operations-first SRE role, working in a 24/7/365 on-call environment, responsible for ensuring reliability, performance, and continuous improvement of mission-critical infrastructure. This role sits within a cross-functional organisation spanning network engineering, infrastructure SRE, Platform SRE, infrastructure tooling engineers (software) and data centre operations. The ideal candidate has progressed through large-scale, globally distributed or multi-site infrastructure environments and has more recently specialised in GPU-accelerated HPC systems. This role provides exposure to the latest high-density AI compute platforms , including next-generation GPU infrastructure at significant scale. You will bring strong breadth across bare metal, networking, storage, virtualisation, and orchestration, alongside deep HPC experience including NVIDIA GPU ecosystems, RDMA networking (RoCE and InfiniBand), and performance validation and benchmarking. Strong Linux and distributed systems expertise is essential. Alongside operational ownership, this is a deeply technical Infrastructure SRE role centred on advanced operational troubleshooting and performance evaluation across large-scale HPC systems. You will investigate complex, cross-layer issues spanning GPU compute, networking, storage, and orchestration, building a clear understanding of system behaviour under real production AI and HPC workloads. A

  • Cloud Support Engineer (L2)

    London, England, United Kingdom

    unspecified Salary not disclosed

    Cloud Support Engineer (L2) London, England, United Kingdom 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

  • Cloud Support Engineer (L1)

    London, England, United Kingdom

    unspecified Salary not disclosed

    Cloud Support Engineer (L1) London, England, United Kingdom Job Summary: We are seeking a Cloud Support Engineer (L1) to join our global Customer Support team and act as the first point of contact for customers using Radiant's Cloud Platform, High Performance Computing (HPC), and AI supercomputer infrastructure. The primary goal of the L1 Support team is to deliver an excellent customer experience by responding quickly, communicating clearly, and ensuring every incident is correctly triaged, documented, and routed for resolution. The team operates a 24/7, 365 “follow the sun” on-call support model to ensure continuous coverage for our global customer base. As a Cloud Support Engineer (L1), you will focus on initial incident response, issue classification, basic troubleshooting, and escalation to L2/L3 engineering teams when required. This role is ideal for someone early in their cloud or infrastructure support career who is eager to develop skills in AI and HPC technologies while working in a fast-paced, customer-facing environment. 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

  • US Infrastructure & Operations Technical Lead

    US East Coast

    unspecified Salary not disclosed

    US Infrastructure & Operations Technical Lead US East Coast Role Overview We are seeking a US Infrastructure Operations Technical Lead to drive the operational excellence, technical leadership, and growth of Radiant's US Infrastructure Operations function. This is a hands-on player-manager role designed for an infrastructure-focused engineering leader with a strong Site Reliability Engineering mindset and deep understanding of large-scale distributed infrastructure environments. Working closely with the UK Infrastructure Operations Manager during overlapping morning hours (US Eastern Time), you will help coordinate cross-regional operations, strategic planning, incident management, and infrastructure delivery across Radiant's global AI and HPC platform. During US business hours, you will lead and mentor the local Infrastructure Operations team, currently consisting of three engineers, while helping scale operational maturity and team capability as the business continues to grow. The ideal candidate will come from a hyperscale, HPC, or large-scale cloud-native SaaS infrastructure background, with experience operating complex distributed systems at scale. This role requires breadth across datacentre compute, Linux systems, networking, and storage fabrics, with the ability to troubleshoot and lead continuous improvement of our infrastructure. You should be comfortable operating and troubleshooting bare-metal environments, low-latency networking, storage protocols, and core infrastructure technologies underpinning high-performance AI and GPU compute platforms. This role requires strong operational leadership capabilities, including experience running small engineering teams, participating in ITIL-aligned operational processes, and supporting high-availability production environments through structured incident, change, and problem management practices. You will also participate in an on-call rota to lead major incidents, orchestrating technical resources to quickly

  • Platform Site Reliability Engineer

    Gloucestershire, United Kingdom

    unspecified Salary not disclosed

    Platform Site Reliability Engineer Gloucestershire, United Kingdom About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. Role Responsibilities - Deploy and Manage Kubernetes Clusters, deployed at scale to support AI centric workloads, across both our bare metal clusters and via trusted partner infrastructure - Develop Kubernetes Manifests and Operators: Facilitate application deployments and maintain Kubernetes-native services for networking, storage, security, identity and infrastructure management - Optimize Linux system configuration including kernel, driver, filesystem and services to support workloads running via our orchestration layer - Build and maintain automation scripts and infrastructure as code to support platform lifecycle, as well as simplifying troubleshooting for Incident resolution and provision of tooling for our support organisation - Apply ITSM frameworks: Incident, Major Incident, Change Management, and service improvement. - Maintain and enhance Radiant's observability stack: Prometheus, Grafana, and custom monitoring integrations - Operate and support services in 24x7 production environments, including on-call rotation - Contribute to Incident postmortem analyses, root cause analysis, document learnings, and automate remediations - Mentor junior engineers

  • Principal Software Engineer: Cloud Platform

    London, England, United Kingdom

    unspecified Salary not disclosed

    Principal Software Engineer: Cloud Platform London, England, United Kingdom Job Role As a Principal Software Engineer at Radiant, you'll be a hands-on technical leader, driving the design and development of our most critical systems, including our GPU orchestration layer, inference-serving infrastructure, and core platform APIs. You'll set the standard for engineering excellence across the team, working closely with other principal engineers to align on strategy and drive technical leadership. You'll partner with peers in infrastructure and machine learning to deliver high-performance AI systems, and mentor engineers across multiple squads. While you won't have direct reports, you'll play a pivotal role in shaping engineering direction, design decisions, and cross-team collaboration. What You'll Do: - Design and develop core services for the Radiant AI Cloud - Architect and build core backend services in Go that power AI infrastructure, networking, inference orchestration, and model lifecycle management - Lead engineering design efforts across the backend domain - architecture reviews, and system evolution strategies - Collaborate closely with platform and infrastructure to deliver reliable, secure, production-grade services - Drive technical standards and mentorship, upholding code quality, observability, and maintainability across teams - Proactively identify and resolve architectural bottlenecks, performance issues, or scaling challenges What you bring: - Proven expertise in Golang and cloud-native backend development - Deep experience designing and deploying distributed systems and APIs (gRPC, REST) in production environments - Strong knowledge of Kubernetes internals, with deep understanding of primitives, deployments and reconciliation loops. - Experience with PostgreSQL or equivalent high-performance data stores -

  • Senior Product Manager

    London, England, United Kingdom

    unspecified Salary not disclosed

    Senior Product Manager London, England, United Kingdom As a Senior Product Manager you will be responsible for leading the development of Radiant platform, leading product strategy, roadmap, and execution for a platform that balances the needs of customer deployability, operational reliability, and cutting-edge AI workload support. Key Responsibilities - Lead the ideation, design and oversee the development of cutting edge AI Platform and ML products focused on compute, training and inference. Translate technical requirements and platform use cases into clear product specs and user stories. - Help organise Radiant's AI cloud Platform Roadmap and prioritise Product work based on business and customer drivers. - Work closely with the engineering team, on roadmap alignment, epic creation, story writing and fleshing out details to ensure smooth delivery. - Help lead the development of the AI Cloud Platform, assist engineering with domain knowledge around AI and Kubernetes, participate in product reviews and own the documentation of AI products on Radiant Global Cloud. - Join Radiant Sales calls to support the sales process and gather insights into Customer's requirements to help develop our products. - Assist existing Radiant customers as they leverage the OGC infrastructure and products to ensure they have an exceptional experience. - Assist with creation of product content (e.g. use cases, how-to guides) that helps customers get started with OGC. Actively publish AI blogs and content periodically. - Track the latest advancements in AI/ML technologies; evaluate and adopt new tools and frameworks that can benefit the Radiant product offering. Your Profile

  • Principal Backend Software Engineer - Auth & Identity

    London, England, United Kingdom

    unspecified Salary not disclosed

    Principal Backend Software Engineer - Auth & Identity London, England, United Kingdom Company Overview: Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace What You'll Do: As a Software Engineer at Radiant, you'll be a hands-on technical leader, driving the design and development of our most critical systems, including our GPU orchestration layer, inference-serving infrastructure, and core platform APIs. You'll set the standard for engineering excellence across the team, working closely with other principal engineers to align on strategy and drive technical leadership. You'll partner with peers in infrastructure and machine learning to deliver high-performance AI systems, and mentor engineers across multiple squads. While you won't have direct reports, you'll play a pivotal role in shaping engineering direction, design decisions, and cross-team collaboration. - Design and build proprietary identity federation, authentication, and authorization infrastructure that securely connects cloud services, customer tenants, and external identity providers (Azure AD, Okta, Google Workspace, etc.) across the Radiant AI cloud platform. - Architect and develop native IAM, federation, and role-based access control systems that

  • Senior Backend Software Engineer - Backend Systems

    London, England, United Kingdom

    unspecified Salary not disclosed

    Senior Backend Software Engineer - Backend Systems London, England, United Kingdom About the Role: As a Senior Software Engineer at Radiant, you'll be a hands-on technical leader, driving the design and development of our most critical systems, including our GPU orchestration layer, inference-serving infrastructure, and core platform APIs. You'll set the standard for engineering excellence across the team, working closely with other principal engineers to align on strategy and drive technical leadership. You'll partner with peers in infrastructure and machine learning to deliver high-performance AI systems, and mentor engineers across multiple squads. While you won't have direct reports, you'll play a pivotal role in shaping engineering direction, design decisions, and cross-team collaboration. What You'll Do: - Design and build backend services in Go that power AI infrastructure, networking, inference orchestration, and model lifecycle management - Implement secure, reliable APIs (gRPC/REST) and backend systems - Design and develop Kubernetes Operators to manage compute and networking resources - Contribute to architectural discussions, providing input on design reviews and system evolution - Collaborate closely with platform and infrastructure teams to deliver production-grade, secure, and scalable services - Maintain high standards for code quality, observability, and maintainability through reviews and best practices What You Bring: - Proven experience developing production systems in Golang - Hands-on experience designing and deploying distributed systems and APIs (gRPC, REST) in production environments - Solid understanding of Kubernetes internals (Scheduler, CNI, Operators, CSI, CAPI) - Familiarity with CI/CD workflows, observability tooling, security, and automation best practices - Collaborate across

  • Infrastructure Site Reliability Engineer

    Gloucestershire, United Kingdom

    unspecified Salary not disclosed

    Infrastructure Site Reliability Engineer Gloucestershire, United Kingdom About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. Job Summary: We're looking for an experienced Infrastructure Site Reliability Engineer to run and evolve our infrastructure stack. You'll contribute across bare-metal, virtualization, and orchestration layers, keeping things stable and secure 24/7 x 365 - all while mentoring teammates, improving process and automation as well as helping translate deep technical concepts for a wide range of collaborators and customers. What You'll Do : - Deploy and operate resilient, scalable infrastructure supporting AI/HPC workloads - Optimize Linux system configuration, BIOS/firmware, kernel, and disk subsystem for performance - Configure, monitor and manage bare-metal infrastructure using IPMI, Redfish, etc - Build and maintain automation scripts and infrastructure as code to support platform lifecycle, as well as simplifying troubleshooting for Incident resolution and provision of tooling for our support organisation - Apply ITSM frameworks: Incident, Major Incident, Change Management, and service improvement. - Maintain and enhance 's observability stack: Prometheus, Grafana, and custom monitoring integrations -

  • Senior Network Engineer

    Gloucestershire, United Kingdom

    unspecified Salary not disclosed

    Senior Network Engineer Gloucestershire, United Kingdom Company Overview: Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. Job Description As a Senior Network Engineer, you'll design, deploy, and operate the high-performance, low-latency network fabric that underpins our GPU infrastructure. You'll play a critical role in shaping the architecture, automation, and operational standards of our network, ensuring it meets the rigorous demands of modern AI training and inference workloads. The ideal candidate is a strong advocate of engineering excellence and operational best practices. You're customer-focused, collaborative, and equally comfortable discussing technical issues with enterprise customers, internal teams, and cross-functional stakeholders. You'll contribute to everything from design and implementation through to L3/L4 operational support. Role Responsibilities - Network Architecture & Collaboration: Design scalable leaf-spine networks using Mellanox switches with Cumulus Linux, integrated with Juniper PTX routers and SRX firewalls. Lead 3rd party and internal provider collaboration to deploy resilient site-to-site and internet connectivity, optimise topology, and resolve complex faults. - Operations & Maintenance: Perform configuration, upgrades, and deep troubleshooting of Juniper and

  • Senior Backend Software Engineer - Core Services

    London, England, United Kingdom

    unspecified GBP 50K-95K

    Senior Backend Software Engineer - Core Services London, England, United Kingdom About Radiant We're looking for a Senior Software Engineer with strong experience in Golang and Kubernetes to join our core product team. In this role, you'll design and build high-performance, cloud-native back-end systems and scalable APIs to support AI workloads, including LLMs and GPU-based services. You'll collaborate closely with cross-functional teams - including platform and machine learning - to design, develop, and deliver high-quality software solutions. You'll help build tools and services that power model training, inference, and orchestration in production environments, while mentoring junior engineers, upholding engineering best practices, and driving initiatives to improve code quality and system performance. What You'll Do: - Design, develop, and maintain robust applications and services in Go - Implement secure, reliable APIs (gRPC/REST) and backend systems - Work with PostgreSQL or similar relational databases for high-performance querying and storage - Deploy and operate applications in Kubernetes, leveraging Helm charts and the Kubernetes API - Contribute to architectural discussions, providing input on design reviews and system evolution - Maintain high standards for code quality, observability, and maintainability through reviews and best practices What you bring: - Proven experience developing production systems in Golang - Hands-on experience designing and deploying distributed systems and APIs (gRPC, REST) in production environments - Proven ability to improve software quality through unit testing, integration testing, code reviews, and adherence to clean code principles - Deep knowledge of Kubernetes and cloud-native architectures - Hands-on experience with containers, Helm, and

  • Engineering Manager

    London, England, United Kingdom

    unspecified Salary not disclosed

    Engineering Manager London, England, United Kingdom About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. The Opportunity We are hiring an Engineering Manager to lead one of our core software teams. This is a high-impact leadership role focused on: - Growing and developing engineers - Delivering complex distributed systems - Maintaining engineering excellence - Aligning execution across multiple teams You will operate at the heart of our engineering organisation, partnering with Product, Principal Engineers, Infrastructure teams, and peer Engineering Managers to deliver systems that power AI at scale. What You'll Be Responsible For Leading a High-Performing Team - Build and develop a strong engineering team - Provide individual contributors with structured coaching and feedback, enabling career progression - Maintain high standards while fostering trust and autonomy - Hire and scale the team as we grow Driving Predictable Delivery - Translate roadmap priorities into clear execution plans - Ensure strong sprint cadence and continuous improvement - Manage risks and dependencies proactively - Ensure production-grade quality in every release Upholding