Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Agentic AI
BI
CI/CD @ 3
Compliance
DevOps @ 5
Distributed Systems @ 3
Docker @ 3
Experimentation
GCP @ 5
GenAI
Generative AI
Go
IaC
Kubernetes @ 3
Machine Learning
Microservices @ 3
Observability @ 3
Security
Terraform @ 3
Vertex AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring!
The expected salary for this position: 13,000 – 25,000 PLN gross
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Responsibilities
- Build and maintain components of ING’s Data, Analytics and AI Platform on Google Cloud.
- Develop Golang-based infrastructure automation services and platform tooling.
- Prepare cloud-ready and IaC-based solutions using Terraform and CI/CD pipelines.
- Support platform tenants and help them onboard smoothly.
- Maintain and improve key platform components.
- Contribute to platform architecture, standards and engineering practices.
- Implement and improve monitoring, logging and alerting for platform services.
- Support operational stability, including participation in on-call support where applicable.
- Collaborate with stakeholders, data engineers, data scientists and platform users to deliver scalable, secure and cost-efficient cloud solutions.
Requirements
- 3+ years of hands-on experience with Google Cloud Platform (GCP), preferably in platform engineering, cloud infrastructure, or DevOps-oriented roles.
- Practical experience building or maintaining platforms on GCP using managed services such as Cloud Run, GKE, BigQuery, Dataproc, Vertex AI, GCS or similar.
- Hands-on experience with Golang — this is a must-have, with concrete examples such as CLI tools, microservices, automation services, provisioning tools, APIs, integrations, or concurrency-based implementations.
- Infrastructure as Code mindset and practical experience with Terraform.
- Experience with deployment and provisioning automation, including tools such as Docker, Kubernetes, CI/CD pipelines.
- Hands-on experience with monitoring, logging, alerting, observability and basic production troubleshooting.
You’ll get extra points for:
- Experience with secure authentication and encrypted workloads, such as OIDC, KMS, SSL/TLS.
- Experience with distributed systems or large-scale data processing on GCP.
- Experience supporting internal platform users or tenants.
About the squad
We are building ING’s next-generation Value-driven Insights and Scalable Technology Analytics Platform (VISTA) on Google Cloud.
VISTA is ING’s shared, production-grade Data and AI platform that enables teams across ING to deliver Analytics, Business Intelligence, Machine Learning, Generative AI and Agentic AI solutions at scale. The platform is deployed on top of Nebula Public Cloud Foundation and Google Cloud, delivering value through standardized self-service journeys with governance, security and compliance embedded by design.
Our mission is to provide scalable, secure and reusable cloud platform capabilities that allow engineering and analytics teams to innovate faster while maintaining enterprise-grade reliability and operational excellence.
As a GCP Cloud AI Platform Engineer, you will help build and evolve ING's next-generation Data, Analytics and Agentic AI platform capabilities. You will develop the cloud foundations, automation tooling and self-service platform experiences that enable AI Engineers, Data Scientists, Data Engineers and analytics teams to build, deploy and operate production-grade AI solutions at scale.
You will work at the intersection of Platform Engineering, Cloud Infrastructure, Generative AI, Agentic AI and Intelligent Automation, helping ING accelerate the adoption of advanced AI solutions on Google Cloud.
We value ownership, automation, curiosity and practical engineering mindset. You will work in a highly skilled team where experimentation is encouraged, but production reliability, security and quality remain key.
The role naming convention in the global ING job architecture will be “Engineer IV”.