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Senior Platform Engineer – Agentic AI, Harness Engineering
KyndrylSenior Platform Engineer designing agent harness and integration systems for Kyndryl's AI solutions. Collaborating with teams to build reusable patterns and ensure system reliability and productivity in Madrid, Spain.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKubernetesPython
About the role
Key responsibilities & impact- 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
- Define the oversight model: policy-as-code, human-in-the-loop checkpoints, loop and failure detection
- Integrate agents with the systems they act on: CI/CD, infrastructure, cloud services, observability and ticketing
- Make agentic productivity measurable
- Mentor teams, run enablement, and reduce friction between Dev, Ops, Security and the people adopting agents.
Requirements
What you’ll need- 5+ years in Platform Engineering, DevOps or SRE
- Hands-on experience building agent harnesses or agentic systems
- Solid software engineering, primarily in Python
- 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
- Experience treating a platform as a product
- Professional working English and Spanish.
Benefits
Comp & perks- Flexible working arrangements
- Professional development
- Employee engagement programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonKubernetescontainersInfrastructure as CodeAWSAzureGCPagent harnessesagentic systemspolicy-as-code
Soft Skills
mentoringenablementcommunicationcollaborationproblem-solving