20 publicaciones de empleo destacadas de cloud infrastructure engineer en jalisco (¡Están contratando!)

Sr Data Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Remote L2/L3 Production Support engineer
NTT Ltd —Guadalajara, Jal.
- Oracle
- Administración de personal
- DevOps
- Seguro de vida
Remote SDET (QA Automation)
NTT Ltd —Guadalajara, Jal.
- Tiempo completo
- Azure
- Administración de personal
- Java
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Network End User Specialist
NTT Ltd —Guadalajara, Jal.
- Tiempo completo
- Microsoft Access
- Azure
- Microsoft Outlook
AI Engineer – R01565292
Brillio —Guadalajara, Jal.
- Azure
- Administración de personal
- Experiencia en bases de datos
SoC/IP Design Verification Engineer
Intel —Guadalajara, Jal.
- Tiempo completo
- Inglés
- C++
- Licenciatura
Senior Data Engineer
BSA-JLL - LaSalle Partners, MEX —Jalisco, Jal.
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
Senior Site Reliability Engineer
Finastra —Guadalajara, Jal.
- Tiempo completo
- Azure
- Oracle
- Informática
- Vacaciones adicionales o permisos con goce de sueldo
L2 Production Support || Linux || SQL || Mongo DB
NTT Ltd —Guadalajara, Jal.
- Incluye fines de semana
- Administración de personal
- Java
- Experiencia en bases de datos
Node.js Full Stack Developer Sr 2758
Xideral —Guadalajara, Jal.
- Home Office (Desde casa)
- DevOps
- Mantenimiento
- SQL
- Seguro dental
- Seguro de vida
Postulación rápida
Senior Full Stack Engineer - Java, React
Ness Digital Engineering —Guadalajara, Jal.
- Tiempo completo
- DevOps
- Java
- JavaScript
Software Quality Assurance Advisor
NTT Ltd —Guadalajara, Jal.
- Azure
- DevOps
- Java
Senior Backend Engineer (Application Support)
Backbase —Guadalajara, Jal.
- Java
- JavaScript
Postulación rápida
5d
Principal Engineer - Revenue Management & Intelligence
Clari + Salesloft —Guadalajara, Jal.
- Java
- SQL
- JavaScript
1d
Senior Azure Platform Engineer
Cummins Inc. —Guadalajara, Jal.
- Azure
- Oracle
- Administración de personal
Site Reliability Engineering (SRE) Lead - 2770
Xideral —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- Administración de personal
- Experiencia en ventas
- Seguro de vida
Postulación rápida
Lead AI/ML Engineer – R01565293
Brillio —Guadalajara, Jal.
- Azure
- Administración de personal
- Experiencia en bases de datos
11d
Software Development Senior Specialist
NTT Ltd —Guadalajara, Jal.
- Java
- JavaScript
- Desarrollo de software
Principal Systems Engineer - Retail Application Engineer
Oracle —Zapopan, Jal.
- Tiempo completo
- Azure
- Oracle
- Informática
5d
Senior Systems Engineer - Retail Application Engineer
Oracle —Zapopan, Jal.
- Tiempo completo
- Azure
- Oracle
- Informática
5d

Quiero recibir la alerta de empleo más reciente para cloud infrastructure engineer en jalisco

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Sr Data Engineer (LATAM Remote)

UP.Labs
Guadalajara, Jal.

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Información del empleo

Tiempo completo

Cualificaciones

Azure
Bases de datos relacionales
DevOps
Google Cloud Platform
Experiencia en bases de datos
SQL
PostgreSQL
gRPC
Python

Descripción completa del empleo

Sr Data Engineer (LATAM Remote)

Remote • Guadalajara, Mexico

Engineering

Remote

Full-time

Overview

UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.

We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge

As a Data Engineer, you will work across multiple systems, collaborating closely with various teams. You’ll need to wear several hats typical to a startup environment and be responsible for end-to-end delivery, extending beyond traditional data engineering tasks. You'll manage the data infrastructure and serve data to both internal and external systems through APIs, ensuring high-quality, scalable solutions.

Responsibilities

Build and maintain scalable batch and streaming data pipelines that ingest, transform, and serve data for analytics and downstream applications.
Develop and operate backend data services and APIs to enable secure, reliable access to curated datasets and metrics.
Translate analytics and business intelligence needs into trusted data models, transformations, and reusable datasets.
Implement Python-based solutions for data processing and analysis.
Manage and maintain highly efficient data architectures, ensuring scalability and performance.
Develop and maintain APIs (REST, gRPC) to serve data to internal or external systems.
Build and refine CI/CD processes to improve data workflows and ensure seamless deployments.
Implement and maintain cloud and DevOps foundations (IaC, CI/CD, containers, orchestration) to ensure secure, repeatable, and scalable delivery of AI services.
Collaborate with teams across engineering, data science, and product to deliver robust data solutions.
Apply deep knowledge of data engineering best practices and frameworks, ensuring data integrity and security.
Work across multiple cloud environments such as GCP, Azure and AWS.

Required Skills

Strong data engineering experience delivering production-grade pipelines and data platforms, with an emphasis on reliability and maintainability.
Backend development capability, including writing clean, testable services and pipeline code in Python.
Advanced SQL skills, including building complex transformations and optimizing query performance.
Experience working with relational databases such as PostgreSQL, including schema design and performance tuning.
Working knowledge of Databricks for data processing and platform usage in support of data engineering workloads.
Experience using dbt to build, version, and manage analytics transformations and models.
Work across multiple cloud environments such as GCP, Azure and AWS.
Ability to apply foundational DevOps and cloud infrastructure practices—monitoring, CI/CD, environment management, and reliability—consistent with DevOps & Cloud Infrastructure expectations.

Preferred Skills

Experience working with Snowflake for cloud data warehousing, modeling, and performance optimization.
Familiarity applying GenAI to data workflows, such as data enrichment, quality checks, or analytics copilots.

UPLabs Summary

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture's life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.

Location: Remote

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Quiero recibir la alerta de empleo más reciente para cloud infrastructure engineer en jalisco

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