SENIOR INFRASTRUCTURE ENGINEER GCP SRE AI
Role details
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Tech stack
Job description
Our Google Cloud Platform is live and scaling rapidly, underpinning the bank's digital journeys, data capabilities and emerging Generative AI workloads.
You'll learn from experienced engineers, gain exposure to real production workloads, and develop strong cloud engineering foundations in a modern GCP environment. This is an outstanding opportunity to grow into a skilled cloud engineer able to support and deliver enterprise-scale solutions.
What you'll be doing
- Supporting provisioning and configuration of GCP services
- Writing Infrastructure-as-Code in Terraform and learning best-practice IaC patterns.
- Contributing to CI/CD pipelines using Jenkins, Terraform Cloud, Harness and GitHub.
- Building automation to improve consistency, security and reduce manual effort.
- Supporting incident response and learning good operational practices.
- Participating in agile ceremonies and contributing to continuous improvement
- Building foundational knowledge in observability, security and DevOps culture.
Requirements
You're early in your cloud engineering journey but highly motivated to learn, grow and take ownership. You love understanding how systems fit together, enjoy solving problems and are excited about working with cutting-edge cloud technology - including how infrastructure supports new AI capabilities.
You collaborate well, communicate clearly, and bring curiosity and energy to your team.
Essential skills & experience
- 5 years' experience in DevOps, SRE or cloud engineering.
- Understanding of cloud concepts and core GCP services.
- Scripting in Python, Bash, Java or Go.
- Familiarity with CI/CD tools such as Jenkins, Harness or GitHub Actions.
- Exposure to IaC tools, preferably Terraform.
- Enthusiasm, initiative and a desire to grow technically.
Desirable skills
- Awareness of Kubernetes/containerisation
- Understanding of observability tooling (Prometheus, Dynatrace, etc.).
- Awareness of agile ways of working.