GCP Cloud AI Platform Engineer
At a glance
Mid-level ML Platform & Ops role at ING. Warszawa · full-time.
Pay not stated AI Platform Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and look after Google Cloud components for ING’s Data, Analytics and AI platform
- Create platform tools and infrastructure automation services in Golang
- Use Terraform and CI/CD pipelines to prepare cloud solutions that can be provisioned and deployed
- Help platform users get started, maintain core services, and improve monitoring, logs and alerts
- Contribute to platform design and engineering standards, and help keep services stable, including on-call support where applicable
What you bring
- At least three years of practical GCP work, ideally in platform engineering, cloud infrastructure or DevOps
- You can show hands-on Golang work through tools, services, automation, APIs or integrations
- You have used Terraform and worked with deployment or provisioning automation such as Docker, Kubernetes or CI/CD pipelines
- You have practical experience monitoring and troubleshooting production services
Who this fits
This role suits a mid-level cloud platform engineer who wants to build tooling and foundations for data, analytics and AI workloads on Google Cloud. You’ll support internal platform users and collaborate with data engineers, data scientists and other stakeholders. The role is based in Warszawa, Poland, and may include on-call support.
From the employer
ING Hubs Poland is hiring!
The expected salary for this position: 13000 – 25000 PLN gross
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you, if you:
- have 3+ years of hands-on experience with Google Cloud Platform (GCP), preferably in platform engineering, cloud infrastructure, or DevOps-oriented roles;
- have practical experience building or maintaining platforms on GCP using managed services such as Cloud Run, GKE, BigQuery, Dataproc, Vertex AI, GCS or similar;
- have hands-on experience with Golang — this is a must-have — and can describe concrete examples such as CLI tools, microservices, automation services, provisioning tools, APIs, integrations, or concurrency-based implementations;
- have an Infrastructure as Code mindset and practical experience with Terraform;
- have experience with deployment and provisioning automation, including tools such as Docker, Kubernetes, CI/CD pipelines;
- have 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.
Your 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 helping 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.
Information 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”
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.