Database Engineer, Avp — Oracle & Snowflake Data Platform
Builds Kyndryl's internal AI agent harness in Madrid (partially remote): the runtime, orchestration, guardrails, evaluations and observability that turn foundation models into reliable, governed production agents. Core stack is Python, Kubernetes, IaC and a major cloud, plus LLM tooling like MCP and agent frameworks.
- Compensation
- Not disclosed
- Location
- Madrid, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years in Platform Engineering, DevOps or SRE, building developer platforms or runtime/orchestration systems in production
- Hands-on experience building agent harnesses or agentic systems: runtime, tool and MCP integration, orchestration, evaluation, guardrails
- Solid software engineering, primarily in Python, building production systems and abstractions
- Strong cloud-native background: Kubernetes, containers, Infrastructure as Code, one major cloud (AWS, Azure or GCP)
- Working grasp of how LLM agents fail and engineering for reliability: context design, loop/failure detection, verification, evaluation
- Experience treating a platform as a product: contracts, SLOs, adoption metrics, real users
- Professional working English and Spanish
Nice to have
- Agent frameworks such as LangGraph, CrewAI, AutoGen 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)
Full description
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.