At a Glance
- Tasks: Design and build secure, scalable Google Cloud infrastructure for innovative projects.
- Company: Join a leading bank's Cloud Platform team in Manchester.
- Benefits: Competitive salary, performance bonuses, flexible working, and generous leave.
- Other info: Dynamic environment with opportunities for career growth and development.
- Why this job: Make an impact with cutting-edge cloud technology and AI solutions.
- Qualifications: Experience in GCP, CI/CD pipelines, and Terraform required.
The predicted salary is between 72702 - 80780 £ per year.
Position Overview
Location: Manchester, United Kingdom
Hours: Full time
Working Pattern: At least two days per week (or 40% of your time) in one of our offices. Flexible working options available, including hybrid work and job share.
Salary: £72,702 – £80,780 (including performance based bonuses)
About the Team
The Cloud Platform team is responsible for 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 and application workloads. We focus on product curation, data‑warehousing, landing‑zone engineering, automation, and embedding AI into cloud workflows.
About the Role
Develop a secure, resilient cloud platform that is quick, modern, and green for developers. Focus on Google Cloud Platform (GCP) with emphasis on analytics, AI, databases & serverless products.
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 BigQuery, Composer, Vertex AI, AlloyDB, 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 out‑of‑hours support.
- Prototype and productionise GenAI and agentic‑AI automation (e.g., AI‑assisted deployments, documentation generation, policy reasoning) using tools such as 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 GitHub 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 products through their lifecycle.
- Strong written and verbal communication, able to explain technical concepts clearly to varied audiences.
- Comfortable working in a fast‑paced, dynamic and evolving environment.
What You’ll Get in Return
- Performance‑based share bonus.
- Flexible benefits pot.
- Generous pension contribution.
- Private health cover.
- Up to 30 days annual leave (with option to purchase more).
- Access to colleague share schemes.
Equal Opportunity & Accessibility
We are committed to equal opportunity and building a workforce that reflects the communities we serve. We encourage candidates from all backgrounds to apply and are pleased to offer reasonable adjustments during the recruitment process.
