20 publicaciones de empleo destacadas de google cloud data engineer en cuauhtémoc, dif (¡Están contratando!)

Senior Product Technology Manager, Cloud Support on Gemini
Google —Ciudad de México, CDMX
- $150,000 a $217,000 por año
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- Azure
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- $80,000 a $90,000 por mes
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- Inglés
- JavaScript
- Python
- Seguro de vida
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- Tiempo completo
- Informática
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- Oracle
- DevOps
- Inglés
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- SQL
- Python
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Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Technical Services Engineer
MongoDB —Ciudad de México, CDMX
- Azure
- Administración de personal
- Servicio al cliente
- Permiso de maternidad y paternidad
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Customer Engineer, Google Workspace and Gemini Enterprise
Google —Ciudad de México, CDMX
- Administración de personal
- Informática
- Disponibilidad para viajar hasta un 50 %
3d
Site Reliability Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
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Lead Knowledge Engineer - Semantic Web Technologies
S&P Global —Ciudad de México, CDMX
- Correo electrónico
- Azure
- Administración de personal
- Informática
- Vacaciones adicionales o permisos con goce de sueldo
Data Quality Engineer / Tester
Financiera-Independencia —Álvaro Obregón, CDMX
- $14,999 a $15,000 por mes
- Tiempo completo
- Ingeniería
- Oficina
- Microsoft Office
- Seguro de vida
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Software Engineer II – Full Stack (React Native & Java)
PepsiCo —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- Informática
Startups Performance Lead, Google Cloud
Google —Ciudad de México, CDMX
- $152,000 a $221,000 por año
- Administración de personal
- Experiencia en ventas
- Análisis de datos
7d
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- Tiempo completo
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Junior Full-Stack Java Developer – Contact Center Technologies
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Xepelin —Ciudad de México, CDMX
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Network Engineer Lead Expert
AXA —Tlacoquemeca, CDMX
- Azure
- Inglés
- Licenciatura

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Senior Product Technology Manager, Cloud Support on Gemini

Google -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
$150,000 a $217,000 por año
Hace 2 días

Beneficios

Seguro dental
Vacaciones adicionales o permisos con goce de sueldo
Permiso de maternidad y paternidad
Seguro de la vista

Cualificaciones

Oracle
Go
Informática
Kubernetes
Inglés
Sistemas de información
Google Cloud Platform
Java
C++
Licenciatura
JavaScript
Python

Descripción completa del empleo

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Applicants in Mexico: 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: Sunnyvale, CA, USA; San Francisco, CA, USA; Seattle, WA, USA; Mexico City, CDMX, Mexico.

Minimum qualifications:

Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience.
9 years of experience in a technical role, such as technical solutions engineer, software engineer, or technical program manager, providing enterprise-level support and workflows.
9 years of experience with 2 or more of the following: Web Tech, Data/BigData, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP, VMWare.
6 years of experience troubleshooting and advocating for customers, addressing Cloud technical risks.
Experience writing and reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript) or in system design.

Preferred qualifications:

Experience using analytics and data to problem-solve, collaborate, and communicate with stakeholders.
Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products.
Experience launching successful products or services, from conception to launch.
Experience developing and managing technical documentation, runbooks, or knowledge bases.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Product Technology Manager for Support on Gemini, you will define and execute the product strategy for a new generation of customer support experiences, treating support as a product in itself. You will be responsible for bringing to life agentic systems to deliver unparalleled proactive and reactive support to customers. You will be a key designer in the organization, shaping the GenAI-driven future of how we interact with and support customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Translate business objectives and requirements from systems program managers into a product idea, strategy, and roadmap for Support on Gemini, aligning with broader company objectives and customer needs.
Drive the conceptualization, development, and launch of innovative Agentic AI systems for customer support, transforming our support from fragmented and human-driven to unified, autonomous, and AI-driven.
Own the product requirements for Cloud Support built technical solutions, and collaborate with GCBP, Technology Vendors, and GCP Product and Engineering to bring new support experiences and features to market.
Act as a subject matter expert on technical knowledge for the support organization, providing technical guidance and training, while identifying and advocating for new capabilities and improvements based on support needs and data analysis.
Engage with executive leadership and key stakeholders to communicate product strategy, progress, and results.

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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Quiero recibir la alerta de empleo más reciente para google cloud data engineer en cuauhtémoc, dif

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