Senior Platform Engineer at Ing Firm
, , Netherlands -
Full Time


Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

GCP Certification, Vertex AI, BigQuery, Dataproc, Dataflow, Cloud Composer, Cloud Run, GKE, Python, Golang, Terraform, Docker, Kubernetes, CI/CD, Azure DevOps, Monitoring, Logging

Industry

Banking

Description
Data & Analytics is hiring Senior Platform Engineer! You build and operate ING’s self‑service analytics and AI platform on Google Cloud. The goal is to enable data scientists, ML engineers, and product teams to develop, train, deploy and operate AI and data workloads at scale, securely and in a fully automated way. Key Responsibilities Develop and operate the GCP‑based analytics and AI platform used by ING tenants. Build self‑service capabilities for project onboarding, environment provisioning, and model execution (Exploration and Execution). Deliver platform features using managed GCP services in support of AI/ML workloads, including BigQuery, Vertex AI, Dataproc, Dataflow, Cloud Composer, Cloud Run, and GKE. Implement infrastructure‑as‑code using Terraform. Build, automate, and maintain CI/CD pipelines (Azure DevOps). Implement monitoring, logging, and alerting for reliable AI/ML workloads. Required Skills and Experience GCP certification, minimum Associate level. Strong hands‑on experience with Vertex AI, BigQuery, Dataproc, Dataflow, Cloud Composer, Cloud Run, GKE. Proficiency in Python or Golang. Strong IaC mindset using Terraform. Experience with containers and orchestration: Docker, Kubernetes. CI/CD knowledge: Azure DevOps, pipelines and automation. Solid understanding of monitoring and logging stacks. Preferred Profile Broad experience building data or AI platform components using managed Google Cloud Services. Comfortable working in an engineering‑heavy environment supporting ML engineers, data scientists, and product teams. Strong automation mindset; everything is code Rewards and benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions. The benefits of working with us at ING include: 25-28 vacation days depending on contract Pension scheme 13th month salary 8% Holiday payment Hybrid working Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues About us Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you. Questions? Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow. Your future at ING starts with one application. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations! Use the filters below the search bar – like location and job type – to help you find the perfect fit. Start exploring now and discover where your next career move could take you!
Responsibilities
Develop and operate the GCP-based analytics and AI platform used by ING tenants. Build self-service capabilities for project onboarding, environment provisioning, and model execution.
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