OverviewWe 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.ResponsibilitiesPlatform Architecture & StrategyDefine and own the end-to-end architecture of the Kubeflow-based MLOps platformEstablish platform standards for scalability, security, reliability, and multi-tenancyDrive the roadmap for new MLOps capabilities (feature stores, registries, serving, governance)Kubernetes & Kubeflow Lifecycle ManagementPlan and execute Kubeflow and Kubernetes version upgrades with minimal workflow disruptionEvaluate and introduce new Kubeflow components and ecosystem toolsEnsure backward compatibility and migration strategies for existing workflowsCI/CD, GitOps & AutomationDesign advanced CI/CD and GitOps workflows for platform and ML assetsStandardize environment promotion (dev -> staging -> prod) for ML workflowsDefine best practices for infrastructure-as-code and platform automationObservability, Security & GovernanceArchitect platform-wide observability (metrics, logs, traces, ML-specific monitoring)Implement governance controls for access, data usage, and environment isolationEnsure compliance with enterprise security standards and cloud governance policiesFinOps & Cost AttributionDesign and operate cost attribution models per workflow, team, or business unitPartner with Finance and Business teams to provide cost visibility and optimization insightsDrive cost optimization strategies (autoscaling, spot instances,



right-sizing)Cross-Functional LeadershipAct as technical advisor to Data Science, MLE, Infrastructure, and Software teamsCollaborate with Business stakeholders to align platform capabilities with business goalsMentor junior MLOps engineers and set engineering best practicesQualifications7+ years of experience in MLOps, Platform Engineering, DevOps, or ML InfrastructureDeep expertise in Kubeflow internals, Kubernetes architecture, and multi-tenant ML platformsStrong architectural experience on Azure (AKS, Networking, Security, Governance, Cost Management)Proven experience leading platform upgrades (Kubeflow & Kubernetes) with minimal disruptionAdvanced CI/CD, GitOps, and Infrastructure-as-Code experience (Terraform, Helm, Argo CD)Experience designing platform-level observability, governance, and FinOps frameworksStrong leadership, technical decision-making, and stakeholder management skillsWhat makes us different?Hybrid work model: combination of remote and collaborative office experience to enable innovationEntrepreneurial environment in leading international companyProfessional growth possibilities & learning opportunitiesVariety of benefits to support your physical, emotional and financial wellbeingVolunteering opportunities to help external communitiesAbout PepsiCoWe believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability
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📌 MLOps Architect (Barcelona)
🏢 PepsiCo
📍 Barcelona