ING

GCP Cloud AI Platform Engineer

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2 months ago
Warsaw, PolandStaff+

Responsibilities

  • Build and maintain ING’s Data, Analytics, and AI Platform components on Google Cloud.
  • Develop Golang-based infrastructure automation services and platform tooling.
  • Prepare cloud-ready, Infrastructure-as-Code solutions using Terraform and deployment automation.
  • Support platform tenants and help them onboard smoothly.
  • Maintain and improve key platform components while contributing to architecture, standards, and engineering practices.
  • Implement and improve monitoring, logging, alerting, observability, and production troubleshooting.
  • Support operational stability, including on-call support where applicable.
  • Collaborate with data engineers, data scientists, stakeholders, and platform users to deliver scalable, secure, and cost-efficient cloud solutions.

Requirements

  • At least 3 years of hands-on experience with Google Cloud Platform, preferably in platform engineering, cloud infrastructure, or DevOps-oriented roles.
  • Practical experience building or maintaining GCP platforms using managed services such as Cloud Run, GKE, BigQuery, Dataproc, Vertex AI, and GCS or similar services.
  • Hands-on Golang experience is required, including concrete examples involving CLI tools, microservices, automation services, provisioning tools, APIs, integrations, or concurrency-based implementations.
  • Practical experience with Terraform and an Infrastructure-as-Code mindset.
  • Experience with deployment and provisioning automation, including Docker, Kubernetes, and CI/CD pipelines.
  • Hands-on experience with monitoring, logging, alerting, observability, and basic production troubleshooting.
  • Experience with secure authentication and encrypted workloads such as OIDC, KMS, and SSL/TLS is preferred.
  • Experience with distributed systems, large-scale GCP data processing, or supporting internal platform users or tenants is preferred.

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About ING

10,000+ employees
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