20 publicaciones de empleo destacadas en engineer python developer (ai) (¡Están contratando!)

Senior Data Ops Engineer
Kerry —Querétaro, Qro.
- Azure
- Administración de personal
- DevOps
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- SQL
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- Trabajo híbrido
- Inglés
- JavaScript
- Python
- Vacaciones adicionales o permisos con goce de sueldo
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Varicent —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- Informática
- Licenciatura
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- Vacaciones adicionales o permisos con goce de sueldo
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Software Engineer
BlackLine —Ciudad de México, CDMX
- Azure
- Informática
- Java
10d
Sr. Full Stack Engineering
Bizee Powered by Incfile —Puerta Aqua, Jal.
- $50,000 a $60,000 por mes
- Tiempo completo
- Informática
- Inglés
- Java
- Estacionamiento gratuito
- Descuento de gimnasio
Postulación rápida
Software Engineering - DevOps - Mexico
LunarTech —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Preparación de alimentos
Postulación rápida
Full stack Engineer
ADI Global Distribution —Querétaro, Qro.
- Tiempo completo
- Azure
- Inglés
- SQL
Senior Backend Engineer, Content Foundations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior DevOps Engineer – Remote (Argentina or Mexico)
OpenSesame —Desde casa
- Home Office (Desde casa)
- DevOps
- Desarrollo de software
- Python
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Principal Engineer - Data Infrastructure
Sezzle —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Lead Backend Developer – Typescript (Node.js)
Varicent —Mérida, Yuc.
- Home Office (Desde casa)
- Informática
- DevOps
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
6d
Principal Software Architect – Platform Integrations (with AI Focus)
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- Informática
- Seguro de vida
Senior FullStack Dev
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- SQL
Postulación rápida
Senior Python Developer
Endava —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Azure
- Oracle
- Administración de personal
- Programa de referidos
Postulación rápida
3d
Senior Mobile Engineer (iOS & Android)
GSB —Ciudad de México, CDMX
- $120,000 por mes
- Tiempo completo
- Azure
- Inglés
- Java
Postulación rápida
8d
Senior Data Engineer & Cloud (AWS)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Software Engineer II
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
Postulación rápida
Senior Software Engineer
EarnIn —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Liderazgo
- Python
Postulación rápida

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Senior Data Ops Engineer

Kerry -
Querétaro, Qro.

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Información del empleo

Cualificaciones

Power BI
Azure
Administración de personal
Estadísticas
Gestión de incidentes
Tooling
DevOps
SQL
Respuesta a incidentes
Licenciatura
ServiceNow
Python
Ciencia de los datos

Descripción completa del empleo

About Kerry

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.

About the role

As a Senior Data Ops Engineer, you will play a key role in the day-to-day operational support of Kerry's data and analytics platforms, taking ownership of more complex issues and helping raise the bar on how BAU is run across Azure, Databricks, Microsoft Fabric and the Power Platform. Your primary focus will be BAU operations: monitoring ELT data pipelines, managing incidents and defects, supporting Power Platform solutions, and delivering enhancements, all while supporting and enabling the broader Power BI community.

You will bring stronger technical depth and experience to the team handling tougher troubleshooting scenarios, contributing to operational standards and runbooks, and sharing knowledge with peers. AI/ML monitoring will be part of the role on a growing scale, alongside leveraging AI assistance to automate and streamline maintenance tasks as these capabilities mature.

In this role you will also use your Power Platform technical skills and strong communication abilities to support global Power BI users, contribute to learning experiences for citizen developers, and guide teams as they embrace Self-Service BI capabilities.

Key responsibilities

Monitor and maintain ELT data pipelines across Azure, Databricks and Microsoft Fabric to ensure reliable ingestion and refresh cycles, taking ownership of more complex pipeline issues.
Perform incident management, including triage, root-cause analysis, resolution, and communication with stakeholders, act as a point of reference for tougher incidents within the team.
Deliver enhancements across data applications and reports, balancing BAU demand with stability improvements.
Define and continuously improve operational standards, runbooks, and CI/CD processes across data applications and reports.
Provide operational support for Power Platform and Databricks solutions, including troubleshooting and delivering fixes.
Partner with platform, engineering and governance teams to shape environment management, release processes and platform best practices.
Support the self-service BI community, ensuring adherence to DS&E governance.
Champion the self-service BI community, ensuring adherence to DS&E governance while enabling scale.
Drive the Power BI community agenda best practices, monthly updates, training sessions and Power BI champions and own the internal hub for reusable assets, templates and guidelines.
Perform monitoring of AI/ML jobs (refresh health, drift flags, runtime failures) and contribute to improving how these are tracked over time.

Qualifications and skills

Bachelor's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field.
Significant hands-on experience (typically 3+ years) operating and supporting enterprise data and analytics platforms in a production environment.
Technical expertise across Power BI, Power Apps, Power Automate and Databricks is mandatory.
Strong working knowledge of at least 3 of the following: PySpark, SQL, Power Query, Python and DAX.
Proven experience with DevOps, CI/CD pipelines and release management in a data engineering context.
Demonstrated experience leading incident response, problem management and operational workflows through ServiceNow or equivalent tooling.
Experience with the AI/ML lifecycle, monitoring metrics and evaluation workflows is highly desirable; exposure to MLOps practices a strong plus.
Exposure to AI-assisted development or operations tooling (Copilot, Copilot Studio, agents) would be a plus.
Excellent troubleshooting, problem-solving and analytical skills, with strong attention to detail and an ownership mindset.
Strong communication and facilitation skills; comfortable engaging senior stakeholders, presenting to technical and business audiences, and guiding users at all skill levels.
Experience building training content, documentation, or communities of practice would be a plus.
Self-starter with a passion for emerging technologies, knowledge sharing and uplifting data culture across a global organization.

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