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, Git Ops & Automation Design advanced CI/CD and Git Ops workflows for platform and ML assets 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 Fin Ops & 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, right-sizing) Cross-Functional Leadership Act as technic

📌 Mlops Architect (Distrito del Ensanche)
🏢 Pepsi
📍 Distrito del Ensanche