Cloud Computing Jobs

Nebius · London

Owns a platform-level optimization pillar such as quantization, speculative decoding, KV-cache optimization, or long-context serving, taking models from artifact to fast, cost-efficient endpoints. Builds benchmarking and rollout frameworks, tunes engines like vLLM and TensorRT-LLM, and sets technical direction for MLEs, kernel and infrastructure engineers.

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.

Qualify Nation Recruitment · Newcastle upon Tyne · £28,000 – £38,000 pa

A traineeship combining structured DevOps training with hands-on portfolio projects, covering Linux, Git, CI/CD pipelines, Docker, Infrastructure as Code, and cloud platforms including AWS, Azure and Google Cloud. Learners build and troubleshoot real deployments, monitoring and security practices, with mentoring and career guidance. The training is paid for by the learner, and remote flexible learning is offered.

Qualify Nation Recruitment · Brighton and Hove · £28,000 – £38,000 pa

A traineeship combining structured learning with hands-on DevOps projects, covering Linux, Git, CI/CD pipelines, Docker, cloud platforms (AWS, Azure, GCP), Infrastructure as Code, monitoring and DevSecOps. Learners build a portfolio through realistic deployments and troubleshooting. Training is paid for by the learner, with mentoring and career guidance provided.

Amazon · London

Lead the design of physical security systems — cameras, access control, intrusion detection, fencing and gates — for data centre construction projects, producing drawings and specifications in Revit and CAD. Coordinate security requirements across architectural, mechanical, electrical, civil and IT disciplines, and act as subject matter expert reviewing third-party and in-house design deliverables. Manages several fast-paced projects at once with up to 25% travel.

Amazon · Manchester

Monitors networks and systems for threats, triages security alerts and documents suspicious activity, working with partner teams on daily threat detection and incident response using AWS technologies at scale. Involves security automation, tracking detective controls like GuardDuty, CrowdStrike Falcon and Wiz Defend, and periodic on-call including weekends.

HAYS Specialist Recruitment · London · £70,000 – £90,000 pa

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, supporting ML and GenAI infrastructure in agile squads.

Databricks · London

Serve as a trusted technical advisor guiding enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure or GCP, from architectural design to production. The role specialises in cloud networking, identity, security compliance and infrastructure-as-code, with hands-on Python and PySpark coding required.

HAYS Specialist Recruitment · Eastleigh · £50,000 – £70,000 pa

Build and support data products on a modern cloud data platform, developing and optimising pipelines and integrating varied sources with strong quality standards. Work in agile squads with data scientists, analysts and architects on ML, GenAI and analytics services using PySpark, Python, SQL and Databricks or Snowflake.

Damia Group · London · £600 – £675 pd

Lead and mentor a DevOps team within a multi-disciplinary consulting delivery team, designing, building and managing CI/CD pipelines with Jenkins, Git or Bamboo. Work across AWS, Azure and GCP using Docker, Kubernetes and scripting in Python, Bash or PowerShell, with SRE and security protocols such as PKI and TLS desirable. Hybrid role with two to three days per week on site in London.

Hays Technology · London · £644 pd

Senior technical authority providing leadership across a large-scale AWS platform estate, covering cloud infrastructure, applications, ingest pipelines and live services. Defines engineering standards, governance and assurance, owns platform reliability and leads major incident response for critical 24/7 services, coordinating multiple engineering and supplier teams.

The Business Connection · London · £130,000 – £150,000 pa

Designs and scales a unified observability platform using Prometheus, Grafana, Loki, OpenTelemetry and Tempo/Jaeger for satellite constellations, ground station networks and deep-space communications. Defines SLOs, SLIs and error budgets, automates infrastructure with Terraform and ArgoCD, and leads incident response across Kubernetes and multi-cloud environments.

Spencer Ogden · United Kingdom · £375 – £425 pd

Lead infrastructure automation and deployment architecture for SmartStack and OS7 platforms, establishing scalable, secure frameworks across lab, factory and production environments. Act as technical authority for infrastructure-as-code, CI/CD integration and deployment automation, using Ansible, Linux and scripting to enable repeatable global deployments. Mentor engineers and set automation standards across the organisation.

Opus Recruitment Solutions · London · £600 – £650 pd

Design and build scalable Snowflake data pipelines and cloud-native platforms on AWS, including resilient document ingestion for unstructured healthcare records. Develop ETL frameworks to transform clinical data into analytics-ready datasets while meeting GDPR and healthcare governance standards. Stack includes Snowflake Cortex, Python, SQL, dbt, Airflow and Terraform.

Snowflake · London

Customer-facing technical role partnering with account sales teams and channel partners to run winning sales cycles for the AI Data Cloud. You deliver value-based demos, support enterprise proof of concepts, and bridge business and technical audiences, working hands-on with data warehousing, lakehouse architectures, RAG, LLMs, Python and SQL.