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Expleo

Cloud Engineer

City of London
Posted about 20 hours ago
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Overview

We are looking for an experienced Cloud Engineer specialising in Microsoft Azure to join the team on a short-term engagement. The role will support the hands-on build and deployment of cloud capabilities required for an initial Azure AI Search use case and the wider platform foundations around it.

This is a delivery-focused position. The successful candidate will translate solution requirements into secure, scalable and repeatable Azure infrastructure, with particular ownership of the physical build, configuration, automation and Terraform-based deployment pipeline. You will work closely with architects, AI specialists, application developers and platform teams to establish production-ready cloud services and leave clear documentation and handover materials.

The ideal candidate is a practical, delivery-oriented Azure engineer who can become productive quickly and work with a high degree of autonomy. You will be comfortable moving from architecture and requirements into a working implementation, while maintaining a strong focus on security, automation, repeatability, supportability and clear documentation.

Responsibilities

  • Design, build, configure and deploy Azure cloud infrastructure supporting AI-enabled search and associated application services.
  • Implement and manage Azure AI Search, Azure SQL serverless capabilities, Azure Service Bus and containerised .NET workloads.
  • Create and maintain Infrastructure as Code using Terraform, including reusable modules and environment-specific configuration.
  • Build and configure CI/CD pipelines for automated infrastructure and application deployment.
  • Configure Azure networking, identity, access controls, secrets management, monitoring and logging in line with cloud engineering best practice.
  • Support the establishment of development, test and production environments, including repeatable deployment patterns.
  • Collaborate with solution architects, software engineers, AI specialists and security stakeholders to integrate services into the wider architecture.
  • Troubleshoot deployment and integration issues, improving reliability, performance, security and cost efficiency.
  • Produce clear technical documentation, deployment guides, operational runbooks and support materials.
  • Provide structured knowledge transfer and handover at the end of the assignment.

Essential Skills

  • Microsoft Azure
  • Terraform
  • Azure AI Search
  • Azure SQL serverless capabilities
  • Azure Service Bus
  • CI/CD pipelines
  • Git
  • Docker and containers
  • Azure DevOps or GitHub Actions
  • Azure OpenAI
  • Azure Kubernetes Service
  • C# / .NET engineering knowledge

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Experience

Azure Platform Engineering

  • Strong hands-on experience designing, building and deploying cloud-native solutions in Microsoft Azure.
  • Practical experience with Azure AI Search, including service deployment, indexing and integration with application or data services.
  • Experience deploying and managing Azure SQL serverless capabilities and Azure Service Bus.
  • Experience deploying .NET applications using Azure container services, such as Azure Container Apps, or an equivalent Azure hosting service.
  • Experience with Azure Storage Accounts, Azure Key Vault, Azure Monitor and Log Analytics.
  • Good understanding of Azure networking, including virtual networks, private endpoints and network security controls.
  • Experience implementing identity and access controls using Microsoft Entra ID, role-based access control and managed identities.

Infrastructure as Code

  • Proven experience using Terraform to provision and manage Azure infrastructure.
  • Experience developing reusable Terraform modules, remote state patterns and repeatable environment deployments.
  • Ability to structure Infrastructure-as-Code repositories and apply appropriate validation, review and release controls.

DevOps and CI/CD

  • Experience creating CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Experience automating infrastructure and application deployments across multiple environments.
  • Confident use of Git, branching strategies, pull requests and code review practices.

Containerisation

  • Experience packaging, deploying and supporting containerised.NET applications.
  • Hands-on knowledge of Docker and Azure container hosting services.
  • Understanding of container configuration, secrets, networking, logging, health checks and scaling.

Desirable Experience

  • Experience delivering AI, generative AI, enterprise search or Retrieval-Augmented Generation solutions.
  • Exposure to Azure OpenAI, vector search, semantic search or document indexing patterns.
  • Experience integrating Azure AI Search with structured and unstructured data sources.
  • Knowledge of Azure Kubernetes Service where it forms part of the wider platform.
  • Experience working in enterprise-scale or regulated environments with established security, governance and compliance controls.
  • Knowledge of cost management, resilience, backup and disaster recovery considerations for Azure workloads.

Expected Deliverables

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  • Azure AI Search infrastructure built, configured and integrated for the initial use case.
  • Azure SQL serverless capabilities and associated data services deployed and configured.
  • Azure Service Bus messaging capability implemented where required by the solution.
  • Containerised.NET workloads deployed using the agreed Azure hosting service.
  • Terraform modules, environment configuration and state management established.
  • Automated deployment pipelines created and tested.
  • Monitoring, logging, security and operational controls configured.
  • Technical documentation, runbooks and deployment guidance completed.
  • Knowledge transfer and final handover delivered to the internal team.

Success Measures

  • Cloud services can be deployed consistently through the agreed Terraform and pipeline process.
  • The initial AI Search use case has the required Azure platform capabilities available and operational.
  • Infrastructure is appropriately secured, monitored and documented.
  • The internal team can support, maintain and extend the delivered solution following handover.

What do I need before I apply

  • To be flexible to travel to, and work at, client sites across the UK as required.

Benefits

  • Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
  • We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
  • Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
  • Competitive company benefits
  • Always working as one team, our people are not afraid to think big and challenge the status quo

As a Disability Confident Committed Employer we have committed to:

  • Ensure our recruitment process is inclusive and accessible
  • Communicating and promoting vacancies
  • Offering an interview to disabled people who meet the minimum criteria for the job
  • Anticipating and providing reasonable adjustments as required
  • Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

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Location

Brushfield St, London E1 6AN, UK

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