Senior MLOps Engineer: CI/CD, Kubernetes & Cloud

Encora Inc.; Buenos Aires; On-site; ARS 123,632,000 - 169,994,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days

Job summary

Proofpoint in Córdoba, Argentina, is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team. This role builds and maintains the infrastructure that brings ML models from development to production, reinforcing our mission to protect organizations from security risks.

You will design CI/CD pipelines, manage containers and security, deploy ML inference endpoints on Kubernetes across AWS and Azure, and lead FedRAMP compliance efforts while collaborating with data

Qualifications

• 5+ years of machine learning experience in production environments.
• Strong Python experience for automation and tooling.
• Kubernetes deployment, scaling, and troubleshooting in a production setting.
• Experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).
• Familiarity with container security, image scanning and vulnerability management.
• Experience with AWS services (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).
• Strong SQL skills for telemetry and operational data.

Responsibilities

• 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 secure, scalable, reliable services.
• Lead FedRAMP compliance efforts for ML infrastructure: security controls, audits, vulnerability scanning, remediation.
• Manage cloud resources (GPU nodes, compute clusters) to support model serving at scale.
• Collaborate with data scientists and ML engineers to shorten the path from experiment to production.
• Monitor infrastructure health, model serving performance, and cost efficiency across clusters.
• Maintain deployment documentation and security reviews.

Skills

ML experience

Python

Kubernetes

CI/CD

AWS

Azure

SQL

TorchServe

Triton

Tools

Terraform

Helm

GitHub Actions

Snyk

Prometheus

Job description

Proofpoint in Córdoba, Argentina, is seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team. This role builds and maintains the infrastructure that brings ML models from development to production, reinforcing our mission to protect organizations from security risks.

You will design CI/CD pipelines, manage containers and security, deploy ML inference endpoints on Kubernetes across AWS and Azure, and lead FedRAMP compliance efforts while collaborating with data