Senior MLOps Engineer — Build Scalable AI Platforms

Domus Global; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Domus Global in Argentina is seeking a Senior MLOps Engineer to design, deploy and operate a scalable AI platform that binds Backend, Frontend and AI apps. You will ensure stability, security and performance across Cloud, on-premise and edge environments.

You will design microservice architectures, implement Docker/Kubernetes platforms, and build CI/CD pipelines for ML workflows while improving automation, monitoring and resilience across the stack.

Qualifications

• Proven experience administering Linux systems in production.
• Build and operate microservices architectures with Docker/Kubernetes.
• Design and automate CI/CD pipelines and IaC.

Responsibilities

• Design and manage architectures based on microservices and containers.
• Implement and operate platforms with Docker and Kubernetes.
• Develop CI/CD pipelines for applications and Machine Learning models.
• Automate deployments, updates and infrastructure management.
• Implement monitoring, observability, logging and alerts.
• Collaborate with Backend, Frontend, Data Science and Product teams.

Skills

Linux

Containers

Docker

Kubernetes

CI/CD

Bash

Python

Cloud platforms

Security

Observability

Edge computing

Microservices

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Azure DevOps

Terraform

Nginx

Job description

Domus Global in Argentina is seeking a Senior MLOps Engineer to design, deploy and operate a scalable AI platform that binds Backend, Frontend and AI apps. You will ensure stability, security and performance across Cloud, on-premise and edge environments.

You will design microservice architectures, implement Docker/Kubernetes platforms, and build CI/CD pipelines for ML workflows while improving automation, monitoring and resilience across the stack.