Database Engineer, Avp — Oracle & Snowflake Data Platform

Deutsche Bank AG; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Kyndryl in Madrid is seeking a Platform Engineer to build the internal agent harness: the runtime, orchestration and guardrails that turn foundation models into reliable, governed AI agents at scale.

You will design reusable patterns, define policy‑as‑code oversight, and integrate agents with CI/CD, cloud services, and observability. Strong Python context and cloud-native experience are required.

Formación

• 5+ years in Platform Engineering, DevOps or SRE in production.
• Hands-on experience building agent harnesses or agentic systems.
• Strong Python software engineering, production systems and abstractions.
• Cloud-native background: Kubernetes, Containers, IaC and one major cloud.
• Experience with guardrails, SLOs, and evaluation in production environments.

Responsabilidades

• Design and build the agent harness: runtime, orchestration, tool and MCP integration, context and memory, evaluation, guardrails and observability.
• Define the oversight model: policy-as-code, human-in-the-loop checkpoints, loop and failure detection, evaluation harnesses, and cost control.
• Integrate agents with the systems they act on: CI-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.
• Mentor teams, run enablement, and reduce friction between Dev, Ops, Security and the people adopting agents.

Conocimientos

Platform Engineering

DevOps

SRE

Python

Cloud native

Kubernetes

CI/CD

Observability

English/Spanish

Herramientas

Kyndryl tools

MCP integration

Policy-as-code

Descripción del empleo

Platform Engineer - Agentic AI & Harness Engineering

Partially Remote
Madrid HQ (KES51610)
Full time
R-57624
At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI‑powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well‑being is prioritized and your potential can thrive.
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.
What you will do:

• Design and build the agent harness: runtime, orchestration, tool and MCP integration, context and memory, evaluation, guardrails and observability.
• Build golden paths and reusable patterns so teams ship agents that are reliable, governed and measurable, instead of one‑off scripts.
• Define the oversight model: policy‑as‑code, human‑in‑the‑loop checkpoints, loop and failure detection, evaluation harnesses, and cost control.
• Integrate agents with the systems they act on: CI‑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.
• Keep the harness model‑agnostic and versioned, so it survives model upgrades and provider changes without rewrites.
• Mentor teams, run enablement, and reduce friction between Dev, Ops, Security and the people adopting agents.

What success looks like in your first year:

• Teams ship agents through the harness golden paths instead of bespoke scripts.
• Agentic workflows run in production with guardrails, evaluation and measured productivity impact.
• The harness absorbs at least one model or provider upgrade without a rewrite.

Who you are:

• 5+ years in Platform Engineering, DevOps or SRE, building developer platforms or runtime and orchestration systems in production.
• Hands‑on experience building agent harnesses or agentic systems: runtime, tool and MCP integration, orchestration, evaluation and guardrails.
• Solid software engineering, primarily in Python, with the depth to build production systems and abstractions, not only prompts.
• Strong cloud‑native background: Kubernetes, containers, Infrastructure as Code, and one major cloud (AWS, Azure or GCP).
• A working grasp of how LLM agents fail and the engineering that makes them reliable: context design, loop and failure detection, verification and evaluation.
• Experience treating a platform as a product: contracts, SLOs, adoption metrics and real users.
• Professional working English and Spanish.

Nice to have:

• Agent frameworks such as LangGraph, CrewAI, AutoGen etc. and the Model Context Protocol.
• Serious production use of AI‑assisted development tools (Claude Code, Copilot, Codex).
• LLMOps, agent evaluation, or observability for agentic systems.
• Prior work on harnesses that stay stable across model upgrades.
• Platform engineering in regulated environments (finance, insurance, public sector).

Being you:

• The 'Kyn' in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities.
• We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences.
• Even if you don't meet every requirement, we encourage you to apply.
• We believe in growth, and we're excited to see what you can bring.

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.