Senior MLOps Engineer – AI Infra, Kubernetes & Cloud

AgileEngine, LLC.; Buenos Aires; On-site; ARS 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days

Recognition program

Global collaboration

Job summary

Proofpoint in Córdoba, Argentina seeks a Senior MLOps Engineer to join our ML/DS team and build infrastructure for moving ML models from development to production, accelerating secure delivery.

You will design CI/CD pipelines, manage Kubernetes deployments across AWS and Azure, drive FedRAMP compliance, and collaborate with data scientists to scale model serving while monitoring costs and performance. This role requires strong Python, IaC, and observability experience.

Qualifications

• 5+ years of machine learning experience (PyTorch, TensorFlow) and model serving.
• Strong Python skills and infrastructure-as-code experience (Terraform, Helm).
• Experience with Kubernetes in production and CI/CD platforms (Harness, Jenkins, GitHub Actions).
• Familiarity with AWS and Azure services (S3, SageMaker/AKS) and security frameworks (FedRAMP, SOC2).

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML model training and deployment.
• Manage container images, base image governance, and vulnerability remediation for ML services.
• Deploy and operate ML inference endpoints on Kubernetes across AWS/Azure environments.
• Lead FedRAMP compliance efforts for ML infrastructure and security reviews.

Skills

Python

Kubernetes

CI/CD

Terraform

AWS

Azure

FedRAMP

Model serving

Observability

Tools

GitHub Actions

Harness

Jenkins

Job description

Proofpoint in Córdoba, Argentina seeks a Senior MLOps Engineer to join our ML/DS team and build infrastructure for moving ML models from development to production, accelerating secure delivery.

You will design CI/CD pipelines, manage Kubernetes deployments across AWS and Azure, drive FedRAMP compliance, and collaborate with data scientists to scale model serving while monitoring costs and performance. This role requires strong Python, IaC, and observability experience.