AWS Cloud Engineer

4 weeks ago

Cheadle, Staffordshire, United Kingdom Pets at Home Full time
About the Role

This is a unique opportunity to shape the future of data analytics within our company, with the chance to directly impact business decisions and customer experiences. You will work in a dynamic environment, collaborating with a team of experienced engineers, and be at the forefront of innovative technology in the pet care industry.

Key Responsibilities
  • Develop and maintain a self-service internal developer platform for data scientists and engineers within the Google Cloud Platform environment.
  • Integrate new tools and processes to enhance core capabilities.
  • Ensure secure, efficient, and reliable change management and delivery to environments, including decommissioning unused resources.
  • Drive automation in CI/CD, infrastructure management, and configuration.
  • Maintain high-quality and legal data flows into and out of the cloud data platform.
Essential Experience, Knowledge & Expertise
  • Experience writing and deploying infrastructure through code, specifically Terraform/Terragrunt.
  • Working knowledge of either Python or Go programming languages.
  • Experienced using Command Line/shell scripting – process monitoring, networking tools, file/text manipulation.
  • Demonstrable experience of containerization (Docker, Podman).
  • Software engineering skills (everything as code; continuous testing; able to document programs/scripts of medium to high complexity using appropriate tools).
  • Demonstrable experience working with a major cloud provider (GCP, AWS, Azure).
  • Comfortable working under version control (Git, Bitbucket/GitHub/GitLab or similar).
Desirable Experience, Knowledge & Expertise
  • Experience working with Agile methodologies such as Scrum and Kanban.
  • Experience deploying and orchestrating containers on Kubernetes using Helm.
  • Familiarity writing and troubleshooting CI/CD pipelines, specifically GitHub Actions.
  • Proven experience of architecture design and product development using GCP's capabilities (GKE, Cloud Run, DataFlow, BigQuery, PubSub).
  • Reliability engineering – experience resolving technical incidents and adhering to SLAs/SLOs.
  • Comfortable with the end-to-end process of developing software-as-a-service and knowledge of best practices.
  • Use of test-driven development and automated testing.
  • Experience with data visualization tools such as Tableau, Qlik, Looker, PowerBI etc.
Role Specific Competencies
  • Product mindset: treat the platform as a product, with colleagues as customers.
  • Operational excellence: adhere to SRE practices including observability, monitoring, and setting SLOs.
  • Software engineering excellence: embrace 'everything as code,' continuous testing, and modular development.
  • Platform onboarding: develop and deliver internal training sessions and maintain documentation.

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