Overview
We are looking for a MLOps Architect to own the end-to-end design, evolution, and governance of our Kubeflow-based MLOps platform on Azure. This role is responsible for platform architecture, long-term technical strategy, system reliability, upgrades, cost optimization, and introducing new MLOps capabilities while ensuring zero or minimal impact to running workflows.

The role partners closely with ML Engineers, Data Science leaders, Cloud Infrastructure, Software Engineering, and Business stakeholders to translate ML requirements into scalable, secure, and cost-effective platform solutions.

Responsibilities
Platform Architecture & Strategy

Define and own the end-to-end architecture of the Kubeflow-based MLOps platform

Establish platform standards for scalability, security, reliability, and multi-tenancy

Drive the roadmap for new MLOps capabilities (feature stores, registries, serving, governance)

Kubernetes & Kubeflow Lifecycle Management

Plan and execute Kubeflow and Kubernetes version upgrades with minimal workflow disruption





Evaluate and introduce new Kubeflow components and ecosystem tools

Ensure backward compatibility and migration strategies for existing workflows

CI/CD, GitOps & Automation

Design advanced CI/CD and GitOps workflows for platform and ML assets

Standardize environment promotion (dev → staging → prod) for ML workflows

Define best practices for infrastructure-as-code and platform automation

Observability, Security & Governance

Architect platform-wide observability (metrics, logs, traces, ML-specific monitoring)

Implement governance controls for access, data usage, and environment isolation

Ensure compliance with enterprise security standards and cloud governance policies

FinOps & Cost Attribution

Design and operate cost attribution models per workflow, team, or business unit

Partner with Finance and Business teams to provide cost visibility and optimization insights

Drive cost optimization strategies (autoscaling, spo

📌 MLOps Architect (Madrid)
🏢 Pepsico Deutschland
📍 Madrid