GCP Cloud AI Platform Engineer
AI in this role
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.
How we score this
GCP Cloud AI Platform Engineer at ING scores 66 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Walk me through how you've used Vertex AI in your day-to-day work.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Automation and Vertex AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI jobs at AI Level 3+ by email
One email a week with the new AI jobs at AI Level 3+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles rated AI Level 3 at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step