20 publicaciones de empleo destacadas de cloud observability engineer en 28830 san fernando de henares madrid provincia (¡Están contratando!)

Data Engineer, Ring Agent Platforms
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Java
- SQL
- Scripting
11d
Senior Site Reliability Engineer (SRE)
Sparta —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
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- Jornada completa
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- DevOps
Solicitud rápida
Cybersecurity Engineer for Edge Network Security
Roche —Madrid, Madrid provincia
- Jornada completa
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Backend Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
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Once For All - Nalanda —Madrid, Madrid provincia
- De 50.000 € a 60.000 € al año
- Teletrabajo
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5d
Principal Backend Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
Software Dev Engineer Machine Learning
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- SQL
Senior Performance Test Engineer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
- Vacaciones pagadas
- Programa de recomendación
AI Platform Engineer (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
DataOps Engineer – 24i Personalization Team
Amino & 24i —Madrid, Madrid provincia
- Trabajo híbrido
- SQL
- AWS
- Machine learning
Solicitud rápida
11d
Senior Software Engineer - Finance & Compliance
FeverUp —Madrid, Madrid provincia
- De 50.000 € a 100.000 € al año
- Teletrabajo
- Español
- Inglés
- SQL
Solicitud rápida
Head of Product Global Operations
Roche —Madrid, Madrid provincia
- Jornada completa
- APIs
- Liderazgo
Senior Backend Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
7d
Senior/Lead Machine Learning Engineer
IFS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Lead Engineer– Data Platform
Deutsche Bank —Salamanca-Madrid, Madrid provincia
- Jornada completa
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Technical Lead - Observability - RDT Digital Operations and Reliability
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
AI Native Product Engineer & Orchestrator
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
- APIs
- Inteligencia artificial

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Data Engineer, Ring Agent Platforms

Amazon Spain Services, S.L.U. -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 11 días

Cualificaciones

CI/CD
Visual Basic
Big data
C#
Spark
Java
SQL
PHP
HBase
Perl
Scripting
Ruby
Desarrollo de software
Cloud
Inteligencia artificial
Python
PowerShell
SDLC

Descripción completa del empleo

DESCRIPTION

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will own the end-to-end data lifecycle — ingestion, transformation, modeling, quality enforcement, and delivery — ensuring that analysts, scientists, and AI systems have access to reliable, well-structured data at scale.

You will use AI development IDEs and generative AI tooling daily to accelerate your work, and you will build multi-agent solutions that automate common data engineering tasks — pipeline generation, data quality enforcement, testing, and operational response. The goal is to turn repeatable patterns into agent-driven workflows that raise velocity and consistency across the team.

You will also contribute to the shared data platform when needed — improving developer tooling, maintaining infrastructure, and supporting the services that the broader data org depends on.

About the team
The Data and Agents Organization spans data engineering, business intelligence, applied science, and agentic AI. The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health.

BASIC QUALIFICATIONS

Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Experience in Hive/Spark/Hbase/Yarn, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) and experience in any Bigdata architecture
Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting
Experience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational support
Experience with cloud-native data services including data warehouses, object storage, event streaming, and serverless compute
Proficiency in Python and SQL

PREFERRED QUALIFICATIONS

Experience designing or building AI agents or multi-agent solutions that automate engineering workflows
Familiarity with agentic AI patterns including tool use, function calling, and multi-agent orchestration
Familiarity with at least one agentic AI development IDE
Experience building or maintaining shared data models, semantic layers, or data contracts
Familiarity with data governance, cataloging, or lineage tracking
Experience contributing to shared platform infrastructure, developer tooling, or self-service data services
Familiarity with observability tooling for data pipelines (logging, metrics, alerting)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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cloud observability engineer empleos en 28830 san fernando de henares madrid provincia

Data Engineer, Ring Agent Platforms

Senior Site Reliability Engineer (SRE)

Cybersecurity Engineer for Network Security

Senior DevOps Platform Engineer (Hybrid)

Cybersecurity Engineer for Edge Network Security

Backend Engineer (Hybrid)

Sr Java Backend Engineer

Principal Backend Engineer (Hybrid)

Software Dev Engineer Machine Learning

Senior Performance Test Engineer

AI Platform Engineer (m/f/d)

DataOps Engineer – 24i Personalization Team

Senior Software Engineer - Finance & Compliance

Head of Product Global Operations

Senior Backend Engineer (Hybrid)

Senior/Lead Machine Learning Engineer

MLOps Engineer - Agentic Platform

Lead Engineer– Data Platform

Technical Lead - Observability - RDT Digital Operations and Reliability

AI Native Product Engineer & Orchestrator

Quiero recibir la alerta de empleo más reciente de cloud observability engineer en 28830 san fernando de henares madrid provincia

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