Cloud Computing Jobs

Amazon · Bracknell · £40,000 pa

On-site maintenance technician and operator for an AWS data centre, responsible for operating and maintaining electrical, mechanical, emergency generator and fire/life safety equipment. Duties include hands-on troubleshooting of switchgear, UPS, PDU, AHU, pumps, motors and VFDs, root cause analysis, daily rounds and readings, CMMS workflows, supervising contractors and on-call emergency response. No shift work required.

Amazon · London

Serve as a primary technical resolver for data center infrastructure, diagnosing hardware and network problems, performing physical repairs, and troubleshooting events within internal SLAs. Conduct root cause analysis of equipment failures, lead resolution of infrastructure issues, and coordinate with solution teams on complex cases while driving continuous improvements. The role sits within the Data Center Operations team and may involve shift work, on-call rotation, and rotation between locations.

ARM · Bristol · £93 ph

Designs and maintains secure, scalable software architectures for complex environments, contributing to architectural decisions and product roadmaps. Works within Agile or SAFe Integrated Product Teams, applying secure-by-design principles, CI/CD and DevSecOps practices, and supporting bids and solution strategies. Requires existing high-level UK security clearance (SC).

eFinancialCareers · London · £72,000 pa

Design, build and maintain data pipelines and ETL processes on AWS, using Python and SQL, while leading engineering teams from a technical perspective. Work with data architects, scientists and analysts on National Security and public sector programmes, translating client requirements into scalable data platforms and DataOps practices.

CBSbutler Holdings Limited trading as CBSbutler · Telford · £490 – £650 pd

Lead end-to-end solution design on a large-scale application modernisation and cloud migration programme, modernising legacy applications, reducing technical debt and supporting migration to public cloud. Work across AWS and/or Azure with architectural governance, Agile delivery and stakeholder management, with Kubernetes, Helm, Java, JavaScript, Oracle or MySQL advantageous.

eFinancialCareers · London · £70,000 – £80,000 pa

Design, build and scale Python backend services for a market-leading digital platform, working with Django, FastAPI, AWS, PostgreSQL, Kafka and Kubernetes. The role involves translating business requirements into architecture, developing APIs and microservices, and mentoring junior engineers within a collaborative cross-functional team.

Appvia · London · £90,000 – £120,000 pa

Lead platform engineering engagements for a cloud consultancy's enterprise clients, from early solution design through delivery. Set technical direction, mentor platform engineers and consultants, and define reusable standards and patterns across AWS, Kubernetes, Terraform and CI/CD. Combines hands-on engineering, architecture and pre-sales consultancy.

Adecco · Milton Keynes · £500 – £600 pd

Builds and migrates applications and services to Microsoft Azure public cloud, operating DevSecOps tooling and developing infrastructure as code with Terraform or Bicep. Applies Zero Trust and cloud security principles within UK government frameworks such as Secure by Design and the Technology Code of Practice, working in secure environments on agile delivery.

Databricks · London

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, implement end-to-end systems across data engineering, ML/AI and applications, and embed with client teams from ICs to executives, with around 20% travel.

Databricks · London

Customer-facing, billable role building and productionising data and AI solutions on the Databricks platform. You own architecture and design decisions, implement end-to-end systems across data engineering, ML/AI and application development, and embed with client teams from ICs to executives. Involves around 20% travel to customer sites.

ECM Selection · Cambridge · £60,000 – £75,000 pa

Design and implement secure, resilient cloud platforms on the Microsoft stack for a global engineering firm, working across microservices, REST APIs and service-oriented architectures. The role sits in a Cambridge-based team with a hybrid pattern of two days per week homeworking, and involves modern practices such as CI/CD, Infrastructure as Code, Kubernetes and containers, with openness to AI-assisted development tools.

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.

NScale · United Kingdom

Owns the strategy, roadmap and end-to-end delivery of a major area of a GenAI cloud platform, working with engineering, design, research and go-to-market teams across the EU. The role centres on cloud and platform technologies, with particular emphasis on security, compliance, cryptography, data residency and sovereignty for European customers, and includes mentoring junior PMs.

Experis · United Kingdom · £1,000 pd

Lead the design, governance and delivery of enterprise-scale Power BI reporting and analytics for a major public sector transformation programme. Define architecture, standards and roadmap across the Microsoft data platform, including Azure SQL, Data Lake, Synapse, Fabric and Oracle, while implementing RLS, workspace controls and CI/CD practices. Client-facing role mentoring developers and analysts and working with data engineering, security, DevOps and delivery teams.

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.