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

Data Engineering Manager, Ring Agent Platforms
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Desarrollo de software
- Inteligencia artificial
- SDLC
12d
Databricks Developer
Cognizant —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Staff Software Engineer — DevPlatform (Java, AWS)
Duetto Research —Madrid, Madrid provincia
- Teletrabajo
- Java
- Máster
- Hotel
Solicitud rápida
Principal Domain Architect - Identity and Access Security
ABB Business Services Sp. z o.o. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Máster
- Grado
Solicitud rápida
6d
Product Manager - Percona Monitoring and Management (Remote)
Percona —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- DevOps
- Inglés
- Linux
- Vacaciones pagadas
Senior DevOps Engineer (AWS)
Duetto Research —Madrid, Madrid provincia
- De guardia
- Teletrabajo
- Informática
- DevOps
- Sistema operativo Windows
Solicitud rápida
Platform Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Teletrabajo opcional
Solicitud rápida
Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- Java
- Programa de recomendación
- Plan de pensiones
Senior AI Agent Developer
Siemens Energy —Tres Cantos, Madrid provincia
- Horas extra
- Azure
- Informática
- Máster
Principal Developer/Solution Architect
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
Salesforce Tech Lead
GoodHabitz —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Salesforce
- DevOps
- Sistemas ERP
- Vacaciones pagadas
- Plan de pensiones
Solicitud rápida
Senior Product Engineer / AI Solution Architect
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
IT Digital Application Support Engineer – Web & Mobile Platforms
Radisson Hotel Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Lead Creative Technologist
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Inglés
13d
Principal Software Engineer Marketplace
FeverUp —Madrid, Madrid provincia
- Español
- Inglés
- APIs
Solicitud rápida
Databricks Manager
Cognizant —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- PMP
Net Developer
Ryanair Group Holdings —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
3h
Platform Engineering Manager - Platform Shared Services
Frontiers Media —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Azure
- Inglés
- Máster
Solicitud rápida
AI Software Engineering Analyst
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
Senior API Designer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Salesforce
- DevOps
- Parking gratuito
- Seguro de vida
14d

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Data Engineering Manager, 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
Gestión del rendimiento
Desarrollo de software
Cloud
Inteligencia artificial
SDLC

Descripción completa del empleo

DESCRIPTION

We are looking for a Manager of Data Engineering to lead a team of data engineers building and operating the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will own the delivery and operational health of the data platform, build and mentor a high-performing team, and drive the adoption of AI-assisted engineering practices across the group.
Your team will use AI development IDEs and generative AI tooling daily, and will build multi-agent solutions that automate common data engineering tasks — pipeline generation, data quality enforcement, testing, and operational response. You will guide this evolution, helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on.
You will also partner with business intelligence, applied science, and product teams to translate data needs into technical roadmaps, and contribute to shared platform infrastructure when the work calls for it.

About the team
The Agent Platform 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

Engineering team management experience, including hiring, performance management, and career development
Working directly within data engineering or closely related teams, with hands-on contribution to data platform and pipeline delivery
Designing or architecting data systems, including data modeling, pipeline patterns, reliability, and scaling strategies
Experience building or leading development of data pipelines and cloud-native data infrastructure (e.g., data warehouses, data lakes, event-driven architectures, orchestration platforms)
Knowledge of engineering practices across the full software development life cycle, including coding standards, code reviews, source control, CI/CD, testing, and operational excellence
Experience partnering with product management, applied science, or cross-functional stakeholders to translate business needs into technical roadmaps

PREFERRED QUALIFICATIONS

Experience leading teams that use generative AI tools and AI development IDEs to accelerate engineering work
Familiarity with multi-agent solutions that automate data engineering workflows (pipeline generation, data quality, testing, operational response)
Familiarity with at least one agentic AI development IDE
Experience building or overseeing shared data models, semantic layers, or data contracts
Familiarity with data governance, cataloging, or lineage tracking practices
Experience contributing to or overseeing shared platform infrastructure, developer tooling, or self-service data services
Familiarity with observability tooling for data pipelines and data platform operations

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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