Senior MLOps Engineer: Secure Cloud ML Platforms

BairesDev; Buenos Aires; Remote; ARS 139.086.000 - 200.903.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Comprehensive benefits

Flexible work environment

Global collaboration

Zusammenfassung

Proofpoint is seeking a Senior MLOps Engineer to join its ML/DS team. You will build and maintain production ML pipelines, manage deployment endpoints on Kubernetes across AWS and Azure, and lead security/compliance efforts across FedRAMP and related frameworks.

You will collaborate with data scientists and ML engineers to accelerate experiments into scalable production, monitor health and costs, and keep deployment docs and security reviews up to date.

Qualifikationen

• 5+ years of machine learning experience with frameworks like PyTorch or TensorFlow.
• Proficiency in Python, with infrastructure-as-code tools such as Terraform or Helm.
• Strong Kubernetes experience in production environments.
• Hands-on CI/CD experience (Harness, Jenkins, GitHub Actions).
• Familiarity with container security, image scanning, and vulnerability management.
• Experience with AWS (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).
• Knowledge of security compliance frameworks (FedRAMP Moderate, SOC2).
• Experience with ML model serving frameworks (TorchServe, Triton or equivalents).
• Strong SQL skills and observability tooling (Prometheus, Grafana, Datadog).

Aufgaben

• 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 and Azure.
• Lead FedRAMP compliance efforts for ML infrastructure and security reviews.
• Manage cloud resources to support model serving at scale.
• Collaborate with data scientists and ML engineers from experiment to production.
• Monitor infrastructure health, model serving performance, and costs.
• Maintain deployment documentation and security reviews.
• Stay current with MLOps tooling and cloud-native security practices.

Kenntnisse

Python programming

Kubernetes operations

ML experience

SQL skills

Security compliance knowledge

Tools

Terraform

Helm

GitHub Actions

Jenkins

Snyk

Prometheus

Grafana

Datadog

SageMaker

EKS

TorchServe/Triton

Docker

Jobbeschreibung

Proofpoint is seeking a Senior MLOps Engineer to join its ML/DS team. You will build and maintain production ML pipelines, manage deployment endpoints on Kubernetes across AWS and Azure, and lead security/compliance efforts across FedRAMP and related frameworks.

You will collaborate with data scientists and ML engineers to accelerate experiments into scalable production, monitor health and costs, and keep deployment docs and security reviews up to date.