20 publicaciones de empleo destacadas de cloud observability engineer en getafe, md (¡Están contratando!)

Data Engineer , Ring Agent Platforms
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- SQL
- Desarrollo de software
- Inteligencia artificial
12d
Senior SAP Cloud Engineer
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Sistemas ERP
- Máster
DevOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- Máster
- Parking gratuito
- Seguro de vida
Kubernetes & Cloud Integration Engineer
OpenNebula Systems —Pozuelo de Alarcón, Madrid provincia
- Teletrabajo
- Microsoft Word
- Informática
- Servicio al cliente
8d
AI Platform Engineer (OneAI)
OpenNebula Systems —Pozuelo de Alarcón, Madrid provincia
- Teletrabajo
- Informática
- Inglés
- Oficina
- Vacaciones pagadas
Junior DevOps Engineer
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- DevOps
DevSecOps Engineer
Hitachi Rail —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
DevOps/Platform Engineer
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- DevOps
DevOps Engineer CI/CD
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Scripting
- Inteligencia artificial
- Teletrabajo opcional
Solicitud rápida
IT Platform Engineer
ESML SD Iberia Holding S A U —Pozuelo de Alarcón, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
- Teletrabajo opcional
Solicitud rápida
Senior Container Platform Engineer
Straumann Group —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Inglés
19h
AI - Software Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Java
Cloud DevOps Infrastructure Engineer - Roche Cloud Platform Azure
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
AI Software Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Inglés
DevSecOps Engineer
Hitachi —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
Global / Regional / SRE Engineer
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- DevOps
Rust Engineer - Trading Systems
Keyrock —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- AWS
- Scripting
- Reclutamiento
Data Engineer
MediaRadar —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- Máster
Solicitud rápida
10d
Digital Site Reliability Engineer
Radisson Hotel Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Hotel
Solicitud rápida
12d
AI Engineer, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 42.000 € a 70.000 € al año
- Jornada completa
- Azure
- Máster
- Machine learning

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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 12 días

Cualificaciones

CI/CD
Spark
SQL
Desarrollo de software
Cloud
Inteligencia artificial
Python
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

Non-internship professional experience in data engineering or a closely related discipline
Experience building and operating data pipelines (batch and/or streaming) using frameworks such as Spark, Airflow, dbt, or equivalent
Proficiency in Python and SQL
Experience with cloud-native data services including data warehouses, object storage, event streaming, and serverless compute
Familiarity with data modeling and data quality practices
Experience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational support
Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting

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 getafe, md

Data Engineer , Ring Agent Platforms

Senior SAP Cloud Engineer

DevOps Engineer

Kubernetes & Cloud Integration Engineer

AI Platform Engineer (OneAI)

Junior DevOps Engineer

DevSecOps Engineer

DevOps/Platform Engineer

DevOps Engineer CI/CD

IT Platform Engineer

Senior Container Platform Engineer

AI - Software Engineer

Cloud DevOps Infrastructure Engineer - Roche Cloud Platform Azure

AI Software Engineer 100% (f/m/d)

DevSecOps Engineer

Global / Regional / SRE Engineer

Rust Engineer - Trading Systems

Data Engineer

Digital Site Reliability Engineer

AI Engineer, Madrid (M, ES)

Quiero recibir la alerta de empleo más reciente de cloud observability engineer en getafe, md

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