Senior MLOps Engineer

202 Proofpoint Argentina SRL; Córdoba; Presencial; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days and outreach

Recognition program

Global collaboration opportunities

Career growth

Descripción de la vacante

Proofpoint is seeking a Senior MLOps Engineer to build and maintain the infrastructure that brings ML models from development to production. You will scale inference endpoints and ensure secure, compliant deployments across cloud environments.

You will collaborate with data scientists and ML engineers to streamline the path from experiment to production, monitor performance, and drive cost efficiency in a global, mission-driven team.

Formación

• 5+ years of machine learning experience with frameworks like PyTorch or TensorFlow.
• Strong Python programming skills.
• Production experience with Kubernetes and CI/CD.
• Experience with AWS and Azure ML services.

Responsabilidades

• Design, build, and maintain CI/CD pipelines for ML model training and deployment.
• Manage container images, base image governance, and vulnerability remediation.
• Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure.
• Lead FedRAMP compliance efforts for ML infrastructure.
• Manage cloud resources (GPU nodes, compute clusters, IRSA configurations) for model serving.
• Collaborate with data scientists and ML engineers to move from experiment to production.
• Monitor infrastructure health, model serving performance, cost efficiency.
• Maintain deployment and security documentation.
• Stay current with MLOps tooling and cloud-native security practices.

Conocimientos

Python

Kubernetes

CI/CD

Terraform

AWS

Azure

SageMaker

GitHub Actions

Jenkins

TorchServe

SQL

Herramientas

Terraform

Helm

Docker

Harness

Descripción del empleo

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:

At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: 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, compute clusters, IRSA configurations) to support model serving at scale.
• Collaborate with data scientists and ML engineers to streamline the path from experiment to production.
• Monitor infrastructure health, model serving performance, and cost efficiency across clusters.
• Maintain documentation for deployment processes, security reviews, and infrastructure architecture.
• Stay current with MLOps tooling, cloud-native technologies, and security best practices.

What we're looking for:

• 5+ years of machine learning experience with frameworks like (PyTorch, TensorFlow); model serving is a plus.
• Strong Proficiency in Python, with experience in infrastructure-as-code tools (Terraform, Helm, or similar).
• Strong experience with Kubernetes (deployment, scaling, troubleshooting) in production environments.
• Hands-on experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).
• Familiarity with container security: image scanning, vulnerability management, base image pipelines.
• Experience with AWS services (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).
• Knowledge of security compliance frameworks (FedRAMP Moderate, SOC2, or similar).
• Experience with ML model serving frameworks (TorchServe, Triton, or custom inference endpoints).
• Strong SQL skills for querying operational and telemetry data.
• Familiarity with observability tools (Prometheus, Grafana, Datadog) for monitoring ML systems.

Why Proofpoint?

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to [e-mail].

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

We know that work is simply better when you’re surrounded by people who inspire you—who share ideas, cheer you on, and genuinely want to see you succeed. That’s why we offer social circles, sponsored networks, and connection points across teams and time zones—to help you find your people, build your community, and thrive together.

This isn’t just a job—it’s a mission to protect people and defend data in a world that never slows down.

We’re building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable—because that’s what it takes to stay ahead. And we do it together, winning as one.

Be empowered to reach your full potential through meaningful challenges and personalized support—designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we’re here to help you get there.