Senior MLOps Engineer | Kubernetes | Docker | AWS/Azure/GCP

Domus Global; United States; À distance; USD 120 000 - 160 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Linux

Containers

Docker

Kubernetes

CI/CD

Bash

Python

Cloud platforms

Security

Observability

Edge computing

Microservices

Outils

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Azure DevOps

Terraform

Nginx

Description du poste

Location: Argentina

Are you passionate about building scalable platforms for Artificial Intelligence solutions?

We are looking for a Senior MLOps Engineer with a strong architectural vision to design, deploy and operate the platform that integrates Backend, Frontend and AI applications, ensuring stable, secure and scalable solutions in Cloud, On-Premise and Edge environments.

What will you do?

• 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.
• Ensure high availability, security, scalability and resilience.
• Collaborate with Backend, Frontend, Data Science and Product teams.

We are looking for experience in:

• Linux (advanced administration).
• Docker, Docker Compose y Kubernetes.
• Microservices architectures and REST APIs.
• CI/CD (GitHub Actions, GitLab CI, Jenkins o Azure DevOps).
• Terraform (Infraestructura como Código).
• Bash and Python for automation.
• Networking, Nginx, SSL/TLS certificates and secrets management.
• Cloud (AWS, Azure o Google Cloud).

It will be a plus if you have experience in:

• MLOps y plataformas de Machine Learning (MLflow, Weights & Biases, Roboflow).
• NVIDIA Jetson, Edge Computing o Computer Vision.
• Kafka, RabbitMQ, PyTorch, TensorFlow o TensorRT.
• FastAPI, Flask, Node.js o React.

We especially value

Pensamiento arquitectónico.

Solving complex problems.

Focus on automation and continuous improvement.
Effective communication and collaborative work.
Focus on scalability, observability and resilience.

If you want to take part in high-impact AI projects and work with cutting-edge technologies, we want to meet you!