Senior Backend Engineer (.Net + Aws)

Loopstudio; Buenos Aires; On-site; ARS 216,357,000 - 293,627,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness & community days

Job summary

Proofpoint Córdoba, Argentina is seeking a Senior MLOps Engineer to design and operate the infrastructure moving ML models from development to production.

You will build CI/CD pipelines, manage Kubernetes deployments across AWS and Azure, and drive FedRAMP security and compliance while collaborating with data scientists to accelerate deployment and ensure cost-efficient inference services.

Qualifications

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

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML 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 and security reviews.
• Manage cloud resources to support scalable model serving.
• Collaborate with data scientists to streamline experiment-to-production workflows.
• Monitor infrastructure health, performance, and cost efficiency.
• Maintain deployment and security documentation; stay current with MLOps tools.

Skills

5+ years ML

Python

Terraform

Helm

Kubernetes

CI/CD

Container security

AWS

SageMaker

EKS

Azure

TorchServe/Triton

SQL

Prometheus

Grafana

Datadog

GitHub Actions

Snyk

Tools

Terraform

Helm

Kubernetes

GitHub Actions

Harness

Jenkins

Snyk

Prometheus

Grafana

Datadog

SageMaker

EKS

AKS

Job description

Cordoba, Argentina

Full time

R14943

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?

• 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 .

Equal Opportunity

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.