Cloud Computing Jobs

Amazon · London

Supports Interconnect Business Developers by coordinating embedded cache deployments with external ISPs, owning the process from contract signing through CloudFront provisioning. Involves site validation, troubleshooting failed installs, documentation, reporting, and driving process improvements, new tools and automation across a global network.

Amazon · London

Builds and operates the network infrastructure behind AWS's cloud, covering deployment, scaling, sustaining engineering and technology refresh. The role leans heavily on automation and tooling to reduce manual operations, with engineers troubleshooting customer-impacting events and optimising networks at Amazon scale. Requires UK national status and ability to obtain UK Government Security Clearance.

Cloudflare · London

Builds and operates a shared storage platform underpinning R2, Workers KV and Durable Objects, writing automation and operator tooling for provisioning, expanding, upgrading and decommissioning storage hardware, distributed databases and object storage clusters. Involves fleet reliability engineering, observability, incident response and on-call, with AI tools used to speed debugging and reduce toil.

Cloudflare · London · £185,000 – £254,000 pa

Owns the request-facing layer of Cloudflare's R2 object storage: the S3-compatible API gateway handling authentication, routing, rate limiting and error handling. Builds and operates high-throughput services on Cloudflare Workers and Kubernetes, with on-call rotation and heavy use of AI tooling in daily development.

Nebius · Amsterdam, Netherlands; Berlin, Germany; United Kingdom

Lead the mk8s Core team building a managed Kubernetes service on Nebius cloud, owning the API, control plane, cluster autoscaling and platform integrations. The role is hands-on: you write and review Go code, lead projects and join on-call, while managing 4-8 engineers and shaping technical vision with product. Work targets scaling to tens of thousands of GPU nodes across 10+ data centers.

Nebius · Amsterdam, Netherlands; Israel; Remote - Europe; United Kingdom

Conducts applied AI research on reinforcement learning, guided search and agent training, running large-model experiments across multiple compute nodes. Works in Python and JAX on reasoning models, distillation and web-scale data collection, publishing findings and collaborating with adjacent teams.

Randstad Technologies Recruitment · London · £300 – £350 pd

Build and operate an enterprise-scale provisioning engine that automates standardized, compliant GCP networking resources such as VPCs, routing, subnets and endpoints. The role combines production platform coding in Go or Python with Terraform-based infrastructure as code, CI/CD automation, Kubernetes, and operational ownership including monitoring and incident root-cause analysis.

Randstad Technologies Recruitment · Manchester · £60 – £65 ph

Build and integrate user-facing features for a global online travel platform's loyalty and engagement products across web and app. Work spans React or Vue frontends, Java backend services, push notification infrastructure and AWS micro-frontends, with a strong emphasis on steering Agentic AI tools to generate, review and test code. Operates in an agile, multi-team setup delivering to fixed timescales.

ECS Resource Group · Solihull · £35,000 – £37,500 pa

Final escalation point for complex technical issues across on-prem, virtualised and cloud environments, owning incidents end-to-end with deep investigation and root cause analysis. Supports Windows, Microsoft 365, Azure/AVD, Citrix, networking and virtualisation while mentoring junior engineers and driving service improvements in an MSP-style team.

NVIDIA · Reading

Serve as the first line of technical expertise between NVIDIA, hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Day to day involves proof-of-concept demonstrations, optimising GPU-accelerated training and inference pipelines, and engaging developers, researchers and senior technical executives to evangelise accelerated computing and Generative AI.

Noir · Chelmsford · £50,000 – £70,000 pa

This role involves working as a .NET Developer in a highly autonomous team, focusing on developing and deploying features for a marketing software platform. You will be part of a small team making decisions about product development, with a strong emphasis on technology and experience over process. The company values freedom and openness, offering extensive training and a range of benefits.

Noir · Hemel Hempstead · £40,000 – £65,000 pa

This role involves working as a .NET Developer in a highly autonomous team, focusing on building and deploying a marketing software platform using .NET, ASP.NET Core, C#, and Azure technologies. The team values individual decision-making and rapid deployment, with a strong emphasis on technology and experience over process.

Randstad Technologies · London · £60,000 – £80,000 pa

Build and deploy enterprise-scale distributed applications and microservices using Java 11/17, Spring Boot and Spring Security on the backend, with React.js, TypeScript and Redux on the frontend. Work with Docker, Kubernetes, Kafka/RabbitMQ and Oracle/PostgreSQL/MongoDB in an Agile/Scrum team with CI/CD and test automation, on a hybrid three-days-in-office basis in London.

NVIDIA · France

Serve as the first line of technical expertise between NVIDIA, hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Day to day involves proof-of-concept demonstrations, optimising GPU-accelerated training and inference pipelines, and engaging developers, researchers and technical executives to evangelise accelerated computing and Generative AI.

University of Bristol · Bristol · £44,746 – £50,253 pa

Build and operate the software-defined infrastructure behind the UK's most powerful supercomputer, working with Kubernetes, Terraform/OpenTofu, Python, Rust, Git and Bash. The role spans hardware sourcing, deployment, platform design and optimisation of massive-scale GPU and CPU/GPU workloads, co-designing solutions with world-class researchers in a cybersecurity-compliant environment.