Help drive the influence of data and AI, employed with cloud infrastructure, on our product operations
Build, develop, implement and manage the continuous integration and continuous deployment of pipelines
Compose, implement, and oversee scalable, secure, and reliable infrastructure on Google Cloud Platform using Infrastructure as Code tools
Collaborate with development, operations, and product teams to ensure seamless integration and delivery of applications
Monitor delivery pipeline performance, solve issues, and optimise to ensure high availability and support security protocols and uphold compliance standards throughout the cloud environment

Experience in DevOps engineering, ideally GCP, but with a growth mindset if another cloud platform
Proficiency in working with CI/CD tools including Spinnaker, Jenkins, Harness, Terraform, GitHub, Docker or similar.
Scripting skills in languages such as Python, or Bash.
Practical experience with automation tools and Infrastructure as Code (IaC) platforms (e.g., Terraform)
Experience in containerisation and orchestration with Kubernetes experience and knowledge a must-have
Knowledge of Kubeflow deployments or experience delivering platforms built for AI use cases e.g. through Vertex AI
Experience migrating capabilities from one cloud platform to another.
Understanding and experience using vault capabilities.

DevOps Engineer – Security, Data and AI Lab

Key skills