DevOps Engineer, Data & AI Platform (MLOps)

SimplePractice; Ciudad de México; Presencial; MXN 1.124.000 - 1.406.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Privatized Medical Coverage

Work From Home stipend

Flexible Time Off

Christmas Bonus

Relocation bonus

Annual Bonus

Tuition Reimbursement

Catered Lunch

Saving Funds

ERGs

Descripción de la vacante

SimplePractice LLC is seeking a DevOps Engineer to scale our Data and AI platform in production. You will build reliable infrastructure for data pipelines and ML systems, standardize deployment patterns, and ensure performance, observability, and cost efficiency for compute-intensive workloads.

You will own CI/CD for application and model lifecycles, manage IaC with Terraform, and support containerized workloads using Docker and Kubernetes, collaborating with ML teams to productionize models and

Formación

• 3+ years in DevOps, SRE, or infrastructure engineering.
• End-to-End MLOps/LLMOps expertise for ML/AI workflows.
• Strong cloud experience (AWS preferred).
• Proficiency with Terraform or similar IaC tools.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD and Git workflows.
• Experience supporting data platforms (Airflow, Kafka, Spark).
• Programming/scripting in Python or Bash.
• Experience with observability tools and practices.

Responsabilidades

• Build and operate infrastructure for data pipelines and AI/ML workloads.
• Develop and maintain CI/CD for application and model lifecycles.
• Manage Infrastructure as Code across environments (Terraform).
• Support containerized workloads and orchestration (Docker, Kubernetes).
• Collaborate with ML teams to productionize models.
• Implement monitoring, logging, and tracing for data flow and model performance.
• Improve reliability, scalability, and cost efficiency of data systems.
• Enforce security and access controls for data and infrastructure.
• Reduce operational overhead through automation and tooling.

Conocimientos

DevOps experience

MLOps

Cloud AWS

Terraform

Docker Kubernetes

CI/CD

Data platforms

Python Bash

Observability

Herramientas

Airflow

Kafka

Spark

Descripción del empleo

SimplePractice LLC is seeking a DevOps Engineer to scale our Data and AI platform in production. You will build reliable infrastructure for data pipelines and ML systems, standardize deployment patterns, and ensure performance, observability, and cost efficiency for compute-intensive workloads.

You will own CI/CD for application and model lifecycles, manage IaC with Terraform, and support containerized workloads using Docker and Kubernetes, collaborating with ML teams to productionize models and