Remote Argentina Senior MLOps Engineer – Kubernetes & Cloud

Werben HR LLC; Buenos Aires; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Remote work from Argentina

Global client exposure

Training & certification support

Permanent payroll role

Job summary

Proofpoint seeks a Senior MLOps Engineer to build and maintain ML infrastructure for deploying models from development to production. You’ll shape scalable pipelines, ensure secure, compliant operations, and support fast model delivery for global clients.

You will collaborate with data scientists, manage Kubernetes deployments across AWS/Azure, and lead security and governance efforts while growing your expertise in MLOps tooling.

Qualifications

• Hands-on F5 XC or deep F5 BIG-IP/WAAP/API security experience.
• Strong networking and security fundamentals (BGP, DNS, IPSec, firewalls).
• Kubernetes and cloud-native exposure (AWS/Azure/GCP).
• Excellent written and verbal communication; work across time zones.
• Based in Argentina for duration; remote role, Argentina-based.

Responsibilities

• Design and deploy F5 Distributed Cloud solutions across cloud environments.
• Deliver WAAP, API security, and DDoS mitigation for global clients.
• Automate deployment using Terraform and Ansible.
• Manage client relationships and provide proactive guidance.
• Stay up-to-date with security practices and DevOps tooling.

Skills

F5 Distributed Cloud (XC) experience

Networking fundamentals

Security fundamentals

Kubernetes in production

Cloud exposure (AWS/Azure/GCP)

CI/CD experience

Communication skills

Remote collaboration across time zones

Tools

Terraform

Ansible

Kubernetes

GitHub Actions

Harness

Jenkins

Docker

Helm

Job description

Proofpoint seeks a Senior MLOps Engineer to build and maintain ML infrastructure for deploying models from development to production. You’ll shape scalable pipelines, ensure secure, compliant operations, and support fast model delivery for global clients.

You will collaborate with data scientists, manage Kubernetes deployments across AWS/Azure, and lead security and governance efforts while growing your expertise in MLOps tooling.