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Public Cloud - Google Cloud Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Lloyds Banking Group
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 70929 - 78810 GBP Yearly GBP 70929.00 78810.00 YEAR
Job Description & How to Apply Below

Overview

Cloud Engineer - Google Cloud Platform (GCP)

Location:

Manchester

Salary: £70,929 - £78,810

At Lloyds Banking Group, we're driven by our purpose
- Helping Britain Prosper
. It's why we exist and how we make decisions. As the world changes around us, we're transforming our business and investing in modern, sustainable technology to shape finance as a force for good.

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, and 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 and resilient for customers - and easy, modern and 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, IAM & platform engineering
  • Terraform
  • CI/CD (Harness / Git Hub 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, and take part in an out‑of‑hours support rota.

About You

You re passionate about engineering excellence, automation and creating great developer experiences. You re collaborative, curious and comfortable working across different domains in a fast‑moving platform organisation.

You ll work side‑by‑side with Engineering Leads, Product Owners and partner teams to deliver our roadmap, shape priorities, embed traditional and GenAI tooling, and unblock delivery. You ll also contribute to technical communities and mentor early‑career engineers.

Key Responsibilities
  • Design, build and maintain secure, scalable GCP infrastructure foundations, including IAM policy, key management, network patterns (PSC/PSA), and observability for services such as Big Query, Composer, Vertex AI, Alloy

    DB, Spanner and Cloud Run
  • Build and maintain reusable Terraform modules and automated deployment patterns for analytics, AI/ML, database and serverless products
  • Develop CI/CD pipelines using Harness CI and Python to automate delivery and reduce manual effort
  • Translate threat‑model and policy requirements into policy‑as‑code guardrails (Wiz / Rego / Custom Org Policy / CEL)
  • Create and evolve self‑service Golden Paths via Backstage templates, scaffolding, documentation and automation hooks
  • Partner with security, risk, architecture and delivery teams to meet regulated‑industry standards while maintaining engineering pace
  • Improve operational excellence across monitoring, incident response, problem management, cost optimisation and reliability, including participating in OOH support
  • Prototype and product ionise GenAI and agentic‑AI automation (e.g., AI‑assisted deployments, documentation generation, policy reasoning) using tools including Gemini on GCP and Copilot Studio
  • Participate in Agile ceremonies and support continuous improvement of workflows, tools and processes
Essential Skills & Experience
  • Experience in Platform Engineering with a consistent record of delivering and operating solutions on GCP
  • Hands‑on experience designing and implementing CI/CD pipelines using Git Hub Actions, Harness or similar
  • Understanding of configuration‑management tools for infrastructure automation and policy enforcement
  • Expertise in Terraform and Infrastructure as Code
  • Proficiency in at least one programming/scripting language (Python, Go or Bash)
  • Ability to take ownership of features and products through to successful delivery
  • Experience handling cloud‑service…
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