Global Remote Senior MLOps Engineer: AI Infra & Security

Slc Trade; Buenos Aires; Remote; ARS 154,792,000 - 278,625,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness and community outreach

Always on recognition

Global collaboration opportunities

Job summary

Proofpoint in Córdoba, Argentina is seeking a Senior MLOps Engineer to build and maintain the infrastructure that brings machine learning models from development to production. You will drive secure, scalable inference services across AWS and Azure, collaborating with data scientists and ML engineers to accelerate experiments to production.

You will design CI/CD pipelines, manage container security, and ensure compliance with security standards while monitoring performance and cost efficiency

Qualifications

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

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.
• Lead FedRAMP compliance efforts for ML infrastructure: security controls, audit prep, vulnerability scanning (Snyk, CIS).
• 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.

Skills

Python programming

CI/CD tooling

Kubernetes in production

Security/compliance awareness

SQL queries

Tools

Terraform

Helm

Harness

GitHub Actions

Jenkins

Snyk

Prometheus

Grafana

Datadog

SageMaker

EKS

ECR

AKS

Azure ML

TorchServe

Triton

Job description

Proofpoint in Córdoba, Argentina is seeking a Senior MLOps Engineer to build and maintain the infrastructure that brings machine learning models from development to production. You will drive secure, scalable inference services across AWS and Azure, collaborating with data scientists and ML engineers to accelerate experiments to production.

You will design CI/CD pipelines, manage container security, and ensure compliance with security standards while monitoring performance and cost efficiency