Help drive the influence of data and AI employed with cloud infrastructure on product operations.
Support the build, development, implementation 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.
Work alongside 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 as well as supporting security protocols and uphold compliance standards throughout the cloud environment.

Requirements

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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

DevOps engineeringGoogle Cloud PlatformCI/CD toolsSpinnakerJenkinsHarnessTerraformGitHubDockerKubernetes

Soft Skills

growth mindset