GCP Platform Engineer – AI Data Platform

ING Hubs Poland

Katowice

On-site

PLN 145,000 - 312,000

Full time

14 days+
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Job summary

ING Hubs Poland is seeking a GCP Platform Engineer to help build a data analytics platform on Google Cloud. You will contribute to a distributed multi-national team, focusing on designing scalable cloud-native solutions.

You will work with the latest technologies for big data and analytics, emphasizing IaC, automation, and secure, reliable infrastructure. collaboration and continuous learning are encouraged.

Qualifications

  • 4+ years of experience with GCP and cloud platforms.
  • Experience building data platforms on GCP with managed services (Cloud Run, Vertex AI, GKE, BigQuery, Dataproc).
  • Hands-on automation using Golang and IaC mindset (Terraform).
  • Deployment and provisioning automation with Docker, Kubernetes, CI/CD.
  • Experience with monitoring, logging and alerting for large platforms.
  • Strong communication, collaboration and design-page storytelling abilities.
  • Knowledge of networking concepts (VPC, DNS, load balancing, firewalls) and secure authentication (OIDC, TLS/KMS).

Responsibilities

  • Build a platform and support its tenants.
  • Maintain data analytics platform components.
  • Develop architectures and run experiments to improve the platform.
  • Prepare cloud-ready and IaC-based solutions.
  • Manage monitoring and alerting for the platform.
  • Assist users with on-call support.

Skills

Golang
GCP
Cloud Run
Vertex AI
GKE
BigQuery
Dataproc
Terraform
Docker
Kubernetes
CI/CD
Monitoring/Logging/Alerts
Networking: VPC/DNS/Load Balancing/FWs
OIDC/KMS/TLS security
Open-Source contribution

Tools

GCP
Cloud Run
Vertex AI
GKE
BigQuery
Dataproc
Terraform
Docker
Kubernetes
CI/CD
Monitoring/Logging/Alerts
OIDC/KMS/TLS

Job description

ING Hubs Poland is seeking a GCP Platform Engineer to help build a data analytics platform on Google Cloud. You will contribute to a distributed multi-national team, focusing on designing scalable cloud-native solutions.

You will work with the latest technologies for big data and analytics, emphasizing IaC, automation, and secure, reliable infrastructure. collaboration and continuous learning are encouraged.

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