20 publicaciones de empleo destacadas de devops engineer (data & ai platform) en interlomas, méx. (¡Están contratando!)

DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
10d
DevOps Platform Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- DevOps
- Maestría
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Software Engineer (Platform & Cloud Enablement), Remote, LATAM
ITX Corp —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Negociación
Postulación rápida
14d
Infrastructure & Observability Engineer
SoftwareONE —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Mejora continua
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
AI Engineer (Full-Stack)
Hire Overseas —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Experiencia en bases de datos
- Habilidades de comunicación
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Requirements Engineer III, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
Application Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- DevOps
- Java
Senior Platform Engineer
Kiwi Financial Inc —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- Linux
Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Sr. Devops Engineer
Monks —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Informática
- DevOps
Postulación rápida
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Application Engineer II -Frontend, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- DevOps
- JavaScript
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Senior Security Platform Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Linux
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Senior Infrastructure & Observability Engineer
SoftwareOne —Polanco IV Sección, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps

Quiero recibir la alerta de empleo más reciente para devops engineer (data & ai platform) en interlomas, méx.

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DevOps Engineer (Data & AI Platform)

SimplePractice -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Hace 10 días

Beneficios

Seguro dental
Seguro de la vista

Cualificaciones

Derecho
Kubernetes
Tooling
DevOps
Spark
Git
Bash
Docker
Kafka
Python
Shell Scripting

Descripción completa del empleo

DevOps Engineer (Data & AI Platform)

Role Summary

We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

Responsibilities

Build and operate infrastructure for data pipelines and AI/ML workloads
Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
Manage Infrastructure as Code (Terraform) across environments
Support containerized workloads and orchestration (Docker, Kubernetes)
Partner with Machine Learning teams and engineering 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

Required Qualifications

3+ years of experience in DevOps, SRE, or infrastructure engineering
End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
Strong cloud experience (AWS preferred)
Proficiency with Terraform (or similar IaC tools)
Experience with Docker and Kubernetes
Familiarity with CI/CD and Git-based workflows
Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
Programming/scripting (Python, Bash, or similar)
Experience with observability tools and practices

Preferred Qualifications

Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
Experience with real-time or high-throughput data systems
Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database

Benefits

We offer a competitive benefits program including:

Privatized Medical, Dental & Vision Coverage
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
Monthly Meal Reimbursement
Holiday Bonus, 15-day Aguinaldo
Hybrid Work Schedule & Catered Lunch
A relocation bonus for candidates joining us from a different city
Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC ("SimplePractice" or "us" or "we" or "our"). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at [email protected].

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, [email protected] or no‑[email protected] email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

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Quiero recibir la alerta de empleo más reciente para devops engineer (data & ai platform) en interlomas, méx.

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DevOps Engineer (Data & AI Platform)

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