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Lloyds Banking Group

Public Cloud - Google Cloud Engineer

Manchester
£72.7k – £80.8k/yr
Posted 1 day ago
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Public Cloud - Google Cloud Engineer

Google Cloud Engineer

Location(S) Manchester

Salary Range £72,702 – £80,780

Hours Full time

Working Pattern At least two days per week (or 40% of your time) at one of our offices.

End Date Thursday 16 July 2026


Summary Cloud Engineer – Google Cloud Platform (GCP)


About the Team

Our Cloud Platform team is a well-established engineering group at the heart of one of the UK’s biggest financial-services transformations. We’re modernising the bank’s next-generation cloud platform, partnering with business and product teams to deliver secure, scalable solutions for:

  • Analytics
  • GenAI / Machine Learning
  • Databases
  • Application workloads

Our remit is broad:

  • Product curation
  • Data-warehousing capabilities
  • Landing-zone engineering
  • Automation
  • Embedding AI into cloud workflows to improve developer experience, quality and efficiency

About the Role We're building a cloud platform that is:

  • Quick
  • Secure
  • Resilient (for customers)
  • Easy
  • Modern
  • Green (for developers)

This role focuses on Google Cloud Platform (GCP), and we’re particularly interested in people with experience in:

  • GCP Analytics, AI, Databases & Serverless products
  • Networking, security, Identity and Access Management (IAM) & platform engineering
  • Terraform
  • CI/CD (Harness / GitHub Actions)
  • Python
  • Git workflows
  • Backstage
  • Policy-as-Code (Open Policy Agent)
  • Security tooling (Organisation Policy, Security Health Analytics, Wiz)
  • Dynatrace

Knowledge of multi-agent AI systems is also desirable.

We're looking for a Cloud Engineer with strong GCP experience, building end-to-end infrastructure solutions for engineering teams across the Group. You’ll:

  • Drive automation across deployments and operations
  • Take part in an out-of-hours support rota

About You You’re passionate about:

  • Engineering excellence
  • Automation
  • Creating great developer experiences

You’re:

  • Collaborative
  • Curious
  • Comfortable working across different domains in a fast-moving platform organisation

You’ll work side-by-side with:

  • Engineering Leads
  • Product Owners
  • Partner teams

To:

  • Deliver our roadmap
  • Shape priorities
  • Embed traditional and GenAI tooling
  • Unblock delivery

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

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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.

You’ll also:

  • Contribute to technical communities
  • Mentor early-career engineers

Key Responsibilities

  • Design, build and maintain:

    • Secure, scalable GCP infrastructure foundations
    • IAM policy
    • Key management
    • Network patterns (Private Service Connect (PSC)/Private Service Access (PSA))
    • Observability for services such as:
      • BigQuery
      • Composer
      • Vertex AI
      • AlloyDB
      • Spanner
      • Cloud Run
  • Build and maintain:

    • Reusable Terraform modules
    • Automated deployment patterns for:
      • Analytics
      • AI/ML
      • Databases
      • Serverless products
  • Develop CI/CD pipelines using:

    • Harness CI
    • Python
  • Translate threat-model and policy requirements into:

    • Policy-as-code guardrails (e.g., Wiz / Rego / Custom Org Policy / Common Expression Language (CEL))
  • Create and evolve:

    • Self-service Golden Paths via Backstage templates
    • Scaffolding
    • Documentation
    • Automation hooks
  • Partner with:

    • Security
    • Risk
    • Architecture
    • Delivery teams
      • Aim for compliance with regulated-industry standards
      • Maintain engineering pace
  • Improve operational excellence across:

    • Monitoring
    • Incident response
    • Problem management
    • Cost optimization
    • Reliability
      • Participate in out-of-hours (OOH) support
  • Prototype and productionise:

    • GenAI and agentic-AI automation
    • E.g., AI-assisted deployments, documentation generation, policy reasoning
    • Tools: Gemini on GCP and Copilot Studio
  • Participate in:

    • Agile ceremonies
    • Continuous workflow, tool, and process improvement

Essential Skills & Experience

  • Platform Engineering experience with a consistent record of:
    • Delivering and operating solutions on GCP
  • Hands-on experience:
    • Designing and implementing CI/CD pipelines
    • GitHub Actions, Harness, or similar tools
  • Understanding:
    • Configuration-management tools for infrastructure automation and policy enforcement
  • Expertise in:
    • Terraform
    • Infrastructure as Code (IaC)
  • Proficiency in at least one:
    • Programming/scripting language (Python, Go, Bash)
  • Ability to:
    • Take ownership of features and products through to successful delivery
  • Experience:
    • Cloud-service products through their lifecycle
  • Strong written and verbal communication skills, able to:
    • Explain technical concepts clearly to varied audiences
  • Comfortable working in a:
    • Fast-paced, dynamic, evolving environment

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What You’ll Get in Return

We’re committed to equal opportunity and building a workforce that reflects the communities we serve.

Your:

  • Wellbeing
  • Growth
  • Development

Matter to us. You’ll receive:

  • A performance-based share bonus
  • A flexible benefits pot
  • A generous pension contribution
  • Private health cover
  • Up to 30 days annual leave (with the option to purchase more)
  • Access to colleague share schemes

We’re Committed to Inclusivity

We want to create an inclusive organisation that:

  • Reflects modern society
  • Celebrates diversity in all its forms

We want all colleagues to:

  • Feel they belong
  • Can be their best, unconditionally

If you’d like reasonable adjustments during the recruitment process, please let us know.


About Lloyds Banking Group

Purpose: To help Britain prosper.

Focus: Making a difference to customers, businesses and communities.

Mission: Shape the future of finance, while helping colleagues to learn, grow and develop.

Your data is safe. We’ll only ask you for confidential or sensitive information after a formal interview invitation or verbal offer, this is when we conduct background checks. Any request will:

  • Be explained clearly
  • Come from trusted representatives

Values-Led Culture: We’re building a diverse workforce that reflects the customers and communities we serve. Together, we create an inclusive workplace where everyone can thrive and make an impact.

320 Years of Change: Currently in the midst of transformation. Join us today to help drive change and shape finance for a dynamic future.


Contact Us

For more information, email: careers@lloydsbanking.com

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Skills

Google Cloud Platform
Terraform
Python
CI/CD
Infrastructure as Code
Networking
IAM
BigQuery
Vertex AI
GitHub Actions
Harness
Backstage
Open Policy Agent
Dynatrace
GenAI
Git

Location

Manchester, England, United Kingdom

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