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, spot instances,

📌 MLOps Architect (Madrid)
🏢 PepsiCo
📍 Madrid