Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

MUFG has a global network spanning 50+ markets, with over 2,000 offices worldwide, and over 360 years of history. We offer services across commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing, providing stability and expertise in a dynamic financial landscape.

This temporary assignment will be working at MUFG, and may involve working at an MUFG site, you will however be contracted through Magnit Global, a UK registered employment business with the company registration number 05537535.

Cloud Engineer, about the role:

This is a hands‑on engineering role at the intersection of cloud platforms, software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, Oracle Cloud, and later AWS, applying strong engineering discipline to deliver secure, scalable and sustainable patterns for MUFG.

You will be expected to work autonomously, manage ambiguity, and adapt rapidly to evolving business needs while collaborating with application and infrastructure teams to deliver secure, compliant AI and cloud solutions. You will join a small, dynamic team of engineers working across Azure, Oracle Cloud, and AWS (as it is onboarded), building secure, repeatable cloud and AI foundations that underpin our critical banking services.

Key Responsibilities

• 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

Essential Experience

• Proven experience as a Cloud Engineer within Banking and Financial Services.
• 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 

Supporting Tools

• VS Code
• GitHub Enterprise (Repos, Actions, Packages)
• Artifactory or similar