MLOps Platform Architect — Azure & Kubeflow

PepsiCo Deutschland GmbH; Cornellà de Llobregat; Híbrido; EUR 110.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

International company

Growth opportunities

Wellbeing benefits

Volunteer opportunities

Descripción de la vacante

PepsiCo is seeking an MLOps Architect to own the Kubeflow-based MLOps platform on Azure, shaping architecture, governance, and cost optimization. You will lead platform upgrades, drive CI/CD & GitOps practices, and mentor engineers across Data Science, Infra, and Software teams in a hybrid work environment.

The role demands deep Kubeflow/Kubernetes expertise, strong Azure skills, and a track record deploying scalable, secure ML platforms with FinOps focus.

Formación

• 7+ years of experience in MLOps, Platform Engineering, DevOps, or ML Infrastructure.
• Deep Kubeflow internals, Kubernetes architecture, and multi-tenant ML platforms.
• Strong experience with Azure (AKS, Networking, Security, Governance, Cost Management).
• Proven leadership in platform upgrades (Kubeflow & Kubernetes) with minimal disruption.
• Advanced CI/CD, GitOps, and Infrastructure-as-Code (Terraform, Helm, Argo CD).
• Experience designing platform-level observability, governance, and FinOps frameworks.
• Strong leadership, technical decision-making, and stakeholder management skills.

Responsabilidades

• 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).
• Plan and execute Kubeflow and Kubernetes upgrades with minimal workflow disruption.
• Evaluate and introduce new Kubeflow components and ecosystem tools.
• Ensure backward compatibility and migration strategies for existing workflows.
• Design advanced CI/CD and GitOps workflows for platform and ML assets.
• Standardize environment promotion for ML workflows (dev → staging → prod).
• Define best practices for infrastructure-as-code and platform automation.
• Architect platform-wide observability and monitoring for ML assets.
• Implement governance controls for access, data usage, and environment isolation.
• Ensure compliance with enterprise security standards and cloud governance policies.
• Design and operate cost attribution models per workflow, team, or business unit.
• Partner with Finance for cost visibility and optimization insights.
• Drive cost optimization strategies (autoscaling, spot instances, right-sizing).
• Act as technical advisor to Data Science, MLE, Infrastructure, and Software teams.
• Collaborate with Business stakeholders to align platform capabilities with goals.
• Mentor junior MLOps engineers and set engineering best practices.

Conocimientos

Kubeflow internals

Kubernetes architecture

Azure AKS

CI/CD & GitOps

Terraform

Helm

Argo CD

FinOps & cost mgmt

Leadership

Herramientas

Kubeflow

Argo CD

Terraform

Helm

Descripción del empleo

PepsiCo is seeking an MLOps Architect to own the Kubeflow-based MLOps platform on Azure, shaping architecture, governance, and cost optimization. You will lead platform upgrades, drive CI/CD & GitOps practices, and mentor engineers across Data Science, Infra, and Software teams in a hybrid work environment.

The role demands deep Kubeflow/Kubernetes expertise, strong Azure skills, and a track record deploying scalable, secure ML platforms with FinOps focus.