critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI?powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. We are hiring a Platform Engineer to build the internal agent harness: the runtime, orchestration and guardrails that turn foundation models into AI agents doing reliable, governed work at scale. This is harness engineering as a discipline, not a vendor's product.

You build the outer harness around the model, the configuration, tool integration, evaluation and oversight that make agentic productivity real across engineering, infrastructure and operations.Define the oversight model: policy?as?code, human?in?the?loop checkpoints, loop and failure detection, evaluation harnesses, and cost control.CD, infrastructure, cloud services, observability and ticketing, through APIs and MCP.Make agentic productivity measurable:



define what productive means for each use case, instrument it, and run the harness on that data.agnostic and versioned, so it survives model upgrades and provider changes without rewrites.Solid software engineering, primarily in Python, with the depth to build production systems and abstractions, not only prompts.Strong cloud?Kubernetes, containers, Infrastructure as Code, and one major cloud (AWS, Azure or GCP). Professional working English and Spanish. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

📌 Database Engineer, Avp — Oracle & Snowflake Data Platform (Madrid)
🏢 Deutsche Bank
📍 Madrid