Job Specifications
Cloud Engineer – AI & Cloud Platforms - Global Banking Organisation
9 month contract, £650 per day inside IR35
London based, in the office 5 days a week
A global banking organisation are looking for a Cloud Engineer to join a growing engineering team building secure, scalable cloud and AI solutions in a modern multi-cloud environment.
This is a hands-on role for someone who enjoys working at the intersection of cloud platforms, software engineering, and AI enablement. You’ll help design and deliver cloud infrastructure, automation frameworks, and integration services that support innovative AI-driven solutions.
Key Responsibilities Cloud Engineer:
Design and implement cloud and AI‑ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded).
Develop bespoke automation, integration, and AI‑driven components to support business requirements.
Build and maintain REST APIs, integration services, and identity-aware solution patterns.
Deliver operational (BAU) and project support for cloud and AI workloads.
Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency.
Drive automation, Infrastructure‑as‑Code, CI/CD, and modern engineering practices.
Implement governance controls and guardrails for responsible, regulatory-compliant AI use.
Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns.
Key Skills/Experience - Cloud Engineer:
Essential Experience
Deep hands‑on Azure engineering experience, including Infrastructure‑as‑Code (Bicep/ARM/Terraform).
Strong proficiency in Python and PowerShell for automation, integration, and AI workflows.
Real‑world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, Entra ID).
Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens).
Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases.
Strong knowledge of IAM, security patterns, governance, and compliance requirements.
Preferred Experience
Experience with Azure API Management or similar API gateways.
Exposure to AI governance, model lifecycle controls, or responsible AI implementation in regulated environments.
Knowledge of Foundry, vectorisation patterns, or AI orchestration frameworks.
Key Skills (Prioritised)
Cloud Platforms Expertise:
Azure (general engineering + PaaS services)
Entra ID (identity architecture, authentication flows)
AI/ML & Generative AI:
Azure OpenAI (deployment, integration, governance)
OpenAI SDK, GPT models, embeddings and vector workflows
Prompt engineering with governance and safety controls
Programming & Scripting
Python (essential)
PowerShell
Governance & Compliance
Designing AI guardrails for regulated environments
Security and compliance awareness in financial services
Ability to operationalise Responsible AI controls
API Development & Integration
REST API development and integration
API Management / API Gateway patterns
OAuth2, client credential flows, identity-driven service design
Automation & DevOps
CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
IaC (Bicep, ARM, Terraform)
Reusable automation frameworks
About the Company
Magnit™ (formerly PRO Unlimited) is a global leader and pioneer in contingent workforce management. Our industry-leading Integrated Workforce Management (IWM) platform is supported by 30+ years of innovation, modern software, proven expertise, and world-class data and intelligence. It enables companies to optimize talent and diversity goals while achieving operational and financial success. With Magnit, companies can adapt quickly to the evolution of work to grow their extended workforce with greater agility, transparency, a...
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