20 publicaciones de empleo destacadas de data pipeline & platform engineer, observability & security en ciudad de méxico, dif (¡Están contratando!)

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Data Engineer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- SQL
VFX Artist - GameSim - Talent Pipeline
Liquid Development —Ciudad de México, CDMX
- $32,000 a $35,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Capacitación
- Liderazgo
Postulación rápida
AI / Agent Engineer
Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Licenciatura
- Sin título de educación superior
Postulación rápida
8d
QA Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Administración de personal
- Java
- JavaScript
Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- Inglés
- Permiso de maternidad y paternidad
Staff Software Engineer - Frontend & AI Tooling (AI Enablement) (Ingeniero de Software Staff - Frontend y Herramientas IA) - Hybrid
Clara —Ciudad de México, CDMX
- Inglés
- JavaScript
- Presencial
Technical Support Engineer - Mexico City - Hybrid
Gigamon —Ciudad de México, CDMX
- Incluye fines de semana
- Administración de personal
- Informática
- Salesforce
Environment Artist - GameSim - Talent Pipeline
Liquid Development —Ciudad de México, CDMX
- $32,000 a $35,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Capacitación
- Liderazgo
Postulación rápida
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
Data Analyst – Analytics and AI
Peek —Ciudad de México, CDMX
- $80,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- SQL
- Python
5d
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
Site Reliability Engineer (SRE)
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Data Engineer
albo —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Experiencia en operaciones bancarias
Postulación rápida
12d
Application Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- JavaScript
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
Lighting Artist - GameSim - Talent Pipeline
Liquid Development —Ciudad de México, CDMX
- $30,000 a $33,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Python
Postulación rápida
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
7h
Senior Software Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Java
- Maestría
Senior Software Infrastructure Engineer - AI Tooling
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
7d

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Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Google -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

TensorFlow
Go
Administración de personal
Derecho
Doctorado
Informática
PyTorch
Plurilingüe
Inglés
Google Cloud Platform
Maestría
Licenciatura
Desarrollo de software
Python
Debugging

Descripción completa del empleo

In most instances, this position requires in-person interviews as part of the hiring process.

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
2 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Experience leading technical discovery sessions.
Knowledge of "Large Language Model (LLM)-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. Your role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Design, develop, test, deploy, maintain, and improve machine learning models and AI software components.
Implement and optimize ML algorithms using frameworks like TensorFlow, PyTorch, JAX, or others.
Work with large-scale datasets, leveraging Google's infrastructure for data preprocessing, feature engineering, and model training.
Collaborate closely with product managers, researchers, and other engineering teams to translate product requirements into technical solutions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Refina tu búsqueda

data pipeline & platform engineer, observability & security empleos en ciudad de méxico, dif

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Data Engineer

VFX Artist - GameSim - Talent Pipeline

AI / Agent Engineer

QA Engineer II, Mexico City (MX)

Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes

Staff Software Engineer - Frontend & AI Tooling (AI Enablement) (Ingeniero de Software Staff - Frontend y Herramientas IA) - Hybrid

Technical Support Engineer - Mexico City - Hybrid

Environment Artist - GameSim - Talent Pipeline

Senior AI Application Engineer

Data Analyst – Analytics and AI

Sr Data Engineer - Music DISCO, Music DISCO

Site Reliability Engineer (SRE)

Data Engineer

Application Engineer II, Mexico City (MX)

Data Engineer

Lighting Artist - GameSim - Talent Pipeline

Senior Full Stack Engineer – Registration New

Senior Software Engineer

Senior Software Infrastructure Engineer - AI Tooling

Quiero recibir la alerta de empleo más reciente para data pipeline & platform engineer, observability & security en ciudad de méxico, dif

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