Senior Cloud & AI Platform Engineer

Related skills

terraform github actions aws kubernetes dbt

πŸ“‹ Description

  • Bridge architecture to production on autonomous AI-native platforms.
  • Hybrid engineering: infrastructure, software, and data.
  • Mentor engineers and set engineering standards.
  • Collaborate with clients and delivery teams to ensure quality.

🎯 Requirements

  • Terraform IaC; Kubernetes clusters; GitHub Actions CI/CD.
  • Platform engineering: self-service dev platforms; GitOps workflows.
  • AI and agentic infra: AWS Bedrock, AWS AgentCore, AI pipelines.
  • Observability and reliability: monitoring, health, security of cloud apps.
  • FinOps: automated cost estimation and auto-shutdown default.
  • Client advisory: collaborate with tech leads and enterprise architects.

🎁 Benefits

  • 35 days leave incl bank holidays.
  • Private medical insurance.
  • Enhanced parental/adoption leave.
  • Financial coaching + 5% pension match.
  • 40 hours paid learning and development.
  • Hybrid/remote options; UK hubs: Edinburgh, Leeds, Manchester, London.
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