Remote Senior Ux Analyst — End-To-End Workflow Designer

Ausenco; Buenos Aires; Remote; ARS 3,000,000 - 5,400,000; Full time

Job summary

Proofpoint is seeking a Senior MLOps Engineer to join the Machine Learning and Data Science Team in Cordoba. You will design and maintain infrastructure to bring ML models from development to production, ensuring fast, secure, and scalable deployment across cloud environments.

You will lead CI/CD pipelines, manage ML inference endpoints on Kubernetes, and oversee image governance and vulnerability remediation while aligning with FedRAMP security controls.

Qualifications

• Experience designing and operating ML model CI/CD pipelines.
• Hands-on with Kubernetes-based deployment and scaling.
• Cloud platforms experience (AWS/Azure) and GPU resources.
• Familiarity with security/compliance (FedRAMP) is a plus.
• Strong collaboration with ML and data science teams.

Responsibilities

• Design, build, and maintain ML model CI/CD pipelines.
• Manage ML inference endpoints on Kubernetes across clouds.
• Govern container images and remediation of vulnerabilities.
• Lead FedRAMP compliance efforts for ML infrastructure.
• Manage cloud resources (GPU nodes) and monitoring.

Skills

CI/CD for ML

Kubernetes

AWS

Azure

ML inference

Tools

Harness

GitHub Actions

Snyk

CIS controls

Docker

Kubernetes

AWS

Azure

Job description

Cordoba, Argentina

Full time

R14943

**About Us:**

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

**How We Work:**

• **Bold** in how we dream and innovate
• **Responsive** to feedback, challenges and opportunities
• **Accountable** for results and best in class outcomes
• **Visionary** in future focused problem-solving
• **Exceptional** in execution and impact

**The Role**

We are seeking a **Senior MLOps Engineer** to join our Machine Learning and Data Science Team at Proofpoint. This role is key to building and maintaining the infrastructure that brings machine learning models from development to production. Your contributions will directly impact how fast and safely we ship ML models to production, reinforcing Proofpoint's mission to protect organizations from security risks.

**What you'll do:**

• Design, build, and maintain CI/CD pipelines for ML model training and deployment (Harness, GitHub Actions, or similar).
• Manage container images, base image governance, and vulnerability remediation for ML inference services.
• Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure environments to ensure our inference services are secure, scalable and reliable.
• Lead FedRAMP compliance efforts for ML infrastructure: security controls, audit preparation, vulnerability scanning (Snyk, CIS), and remediation.
• Manage cloud resources (GPU nodes