DevOps Engineer Sanctions Tech Innovation

Build and deploy production-ready data solutions supporting sanctions controls across the bank, improving detection quality and reducing false alerts with scalable AI-driven technology.

You & your role

Design, build and deploy production-grade data and AI solutions as a DevOps Engineer. You ensure secure, compliant and future-proof implementations across the full data lifecycle. You work closely with data scientists and engineers to translate ideas into production-ready solutions, from ingestion to deployment.

Examples from practice:

• Improving automated closure of false Level 1 detection alerts by optimising text-based detection logic.
• Supporting alert investigators with AI-generated insights for complex Level 2 detection alerts.
• Contributing to new monitoring models detecting sanction evasion through transaction behaviour.

Top 3 responsibilities

1. Ensure stable and scalable deployment pipelines by building and maintaining CI/CD processes and validating integration across multiple data platforms.
2. Drive collaboration with data scientists and stakeholders to translate analytical models into robust, compliant production environments.
3. Improve data quality, performance and architecture by identifying issues and implementing structural enhancements.

You work on engineering and platform components that enable AI-driven sanctions solutions to move safely into production while ensuring scalability, compliance and reliability across systems.

Together we achieve more than alone

The team of Sanctions Tech Innovation builds and improves data-driven solutions supporting sanctions controls across the bank. Collaboration is our way of working; as one data-minded team within Rabobank. You work closely with experts across domains to create impactful and compliant solutions.

You & your talent

• HBO/WO work and thinking level with 5+ years DevOps or Data Engineering experience.
• 5+ years experience deploying models in regulated environments using Azure and CI/CD pipelines.
• Strong programming experience in Python and PySpark and workflow tools such as Airflow or MLflow.
• Proactive mindset.
• Strong sense of ownership.
• Collaborative skills.