MLOps Platform Architect — Azure & Kubeflow

PepsiCo Inc.; Cornellà de Llobregat; Hybrid; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

International company

Growth opportunities

Wellbeing benefits

Volunteer opportunities

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Kubeflow internals

Kubernetes architecture

Azure AKS

CI/CD & GitOps

Terraform

Helm

Argo CD

FinOps & cost mgmt

Leadership

Tools

Kubeflow

Argo CD

Terraform

Helm

Job description

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.