Key skills
AWSAzureCloudGoogle Cloud PlatformKubernetesPythonLLMAgenticGCPGoogle CloudCI/CD
About this role
Role Overview
- 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
- 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.
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Kubernetes
- Python
Benefits
- Flexible working arrangements
- Professional development
- Employee engagement programs