20 publicaciones de empleo destacadas de infrastructure & observability engineer en ciudad de méxico, dif (¡Están contratando!)

DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
9d
Software Engineer (Platform & Cloud Enablement), Remote, LATAM
ITX Corp —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Negociación
Postulación rápida
13d
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
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
Senior Test Automation Engineer
Globalli —Ciudad de México, CDMX
- Home Office (Desde casa)
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Software Engineer, AI Agent Platform
QAD, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en manufactura
- Liderazgo
- Python
Postulación rápida
Senior GCP Engineer: AI Platforms & Development
Concentrix —Ciudad de México, CDMX
- Tiempo completo
- Python
6d
Staff Software Engineer (Backend) - Fable Core
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- CAD
- Java
- JavaScript
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Backend Software Engineer
SCIGON —Ciudad de México, CDMX
- $22 a $30 por hora
- Azure
- Administración de personal
- DevOps
Postulación rápida
13d
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Senior Backend Engineer (Python) - Content Understanding
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Principal Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- Disponible para viajar
Customer Success Engineer - Mexico City - Hybrid
Gigamon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
Sr. Manager SRE (Individual Contributor)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Software Engineer, AI Agent Platform
QAD —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en manufactura
- Liderazgo
- Python
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Java
- JavaScript
- Disponible para viajar
Senior Java Backend Engineer - Azure Microservices
NTT Ltd —Ciudad de México, CDMX
- Azure
- DevOps
- Java
Murex DevOps
Luxoft —Ciudad de México, CDMX
- Azure
- Oracle
- Administración de personal
5d

Quiero recibir la alerta de empleo más reciente para infrastructure & observability engineer en ciudad de méxico, dif

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DevOps Engineer (Data & AI Platform)

SimplePractice -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Hace 9 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 infrastructure & observability engineer en ciudad de méxico, dif

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DevOps Engineer (Data & AI Platform)

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