GCP Platform Engineer

• designing, building, and maintaining ING’s Data Analytics Platform on GCP
• developing infrastructure automation services using Golang
• creating and maintaining cloud-native, scalable, and secure solutions
• supporting platform users and ensuring smooth onboarding of tenants
• improving and evolving key platform components and architecture
• implementing and maintaining monitoring, logging, and alerting
• ensuring platform reliability, including participation in on-call rotations
• collaborating with stakeholders to deliver scalable, secure, and cost-efficient solutions

• have 4+ years of experience working with Google Cloud Platform (GCP)
• have hands-on experience building data platforms on GCP, using services such as Cloud Run, Vertex AI, GKE, BigQuery, Dataproc, and GCS
• have strong experience in Golang (must-have), particularly in building infrastructure or automation services
• have an Infrastructure as Code mindset (Terraform is required)
• have experience with CI/CD pipelines and deployment automation (e.g., Azure DevOps, Docker, Kubernetes)
• understand cloud-native architecture principles and infrastructure automation practices
• have hands-on experience with monitoring, logging, and alerting solutions
• understand networking fundamentals, including VPC, DNS, load balancing, and firewalls
• have a solid understanding of secure authentication and encryption concepts (e.g., OIDC, KMS, SSL/TLS)
• can clearly communicate complex technical concepts and contribute to design documentation and discussions
• speak English at B2 level or higher

You’ll get extra points for:

• experience with distributed systems and large-scale data processing on GCP
• experience in optimizing infrastructure and platform performance
• contributions to open-source projects
• strong “automation-first” mindset

You will join a team responsible for building ING’s next-generation Data Analytics Platform on Google Cloud.

As a GCP Platform Engineer, you will work in a multinational, distributed team, delivering scalable, secure, and automated cloud solutions that enable data-driven innovation across ING.

The team operates with agile, lean, and design-thinking principles, focusing on:

• platform engineering excellence
• automation-first mindset
• modern cloud-native technologies

We value innovation, ownership, and experimentation. You will have the opportunity to work on complex engineering challenges and contribute to shaping the future of ING’s data ecosystem.

The role naming convention in the global ING job architecture will be “Engineer IV”

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.