20 publicaciones de empleo destacadas de gcp ai en centro madrid, md (¡Están contratando!)

Software Engineer - Cloud Platform Infrastructure (EMEA)
Qdrant —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- AWS
- Seguro dental
- Seguro oftalmológico
Solicitud rápida
DevOps Engineer
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- DevOps
Senior GenAI Engineer – LLMs & RAG
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Máster
Specialist Data Science & Analytics
Vodafone —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
- Machine learning
- Seguro de vida
- Plan de pensiones
Platform Engineer - Remote
PMY Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- AWS
Solicitud rápida
Junior DevOps Engineer
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- DevOps
Senior Data Engineer
Amaris Consulting —Madrid, Madrid provincia
- Teletrabajo
- Mantenimiento
- Inglés
- Bases de datos
- Oportunidades de crecimiento y desarrollo profesional
Google Cloud AI Architect
Devoteam Spain —Madrid, Madrid provincia
- Jornada completa
- Machine learning
- Contratos
- Inteligencia artificial
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Strategic Alliance Operations Specialist – Google Cloud
NTT DATA —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Project management
Infrastructure Security Engineer
ElevenLabs —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Investigación
- Oficina
- AWS
Senior Manager Data Science
Solera —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Machine learning
- Python
Data Engineer - Remote
PMY Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Business Development Representative - Iberian Markets
DQE Software —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Data Solution Architect
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Data Architect
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Máster
- AWS
Senior Software Engineer (Tech Lead)
TomTom —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
DATA ENGINEER SENIOR VERTI
MAPFRE —Madrid, Madrid provincia
- Azure
- Oracle
- SQL
Senior Infrastructure Engineer - VMware & Hybrid Platforms (All Genders)
Wipro Limited —Madrid, Madrid provincia
- Azure
- Máster
- AWS
Staff Data Engineer
Sparta —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oficina
- AWS
- Inteligencia artificial
Data Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática

Quiero recibir la alerta de empleo más reciente de gcp ai en centro madrid, md

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Software Engineer - Cloud Platform Infrastructure (EMEA)

Qdrant
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Beneficios

Seguro dental
Seguro oftalmológico

Cualificaciones

Azure
Inglés
AWS
Canva
Usabilidad
APIs
Escalabilidad
Cloud
HubSpot
Habilidades de comunicación
Python

Descripción completa del empleo

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.

As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

We are looking for a Software Engineer to join our Regions & Clusters team. This team owns the lifecycle of Qdrant Cloud clusters, including provisioning, scaling, upgrades, backups, authentication, and the customer-facing systems used to operate clusters across multiple cloud providers and regions.

You will work closely with Product, Platform, Resilience, and other engineering teams to build features that directly impact our customers and improve the scalability and reliability of Qdrant Cloud.

What you will own

Build backend services and APIs that power Qdrant Cloud
Develop features related to cluster provisioning, scaling, upgrades, backups, and authentication
Collaborate with engineers across multiple teams to deliver customer-facing functionality
Participate in architecture discussions, code reviews, and technical design
Investigate production issues and contribute to long-term improvements
Continuously improve the reliability, scalability, and usability of our cloud platform

Who you are

2+ years of professional software engineering experience
Professional experience developing backend services and tooling using Go and/or Python
Experience building and maintaining production software
Solid working knowledge of Kubernetes in production environments
Good understanding of APIs, networking fundamentals, and distributed systems concepts
Experience working with cloud-native technologies and containers
Strong ownership mindset and willingness to learn
Good written and verbal communication skills in English

Nice to have

Experience building Kubernetes operators/controllers
Experience with AWS, GCP, or Azure
Experience with databases or distributed systems
Familiarity with observability tooling such as Prometheus, Grafana, or OpenTelemetry
Open source contributions

We are looking for engineers with strong fundamentals and growth potential. You do not need to be an expert in Kubernetes or cloud infrastructure from day one, but you should be excited about learning how large-scale cloud platforms operate and evolve.

Why join us

A remote-first, international team working on cutting-edge AI infrastructure.
A competitive salary with additional perks.
Flexible working hours and async-friendly culture.
High ownership and real impact.
Open-source, engineering-driven culture.
Choose your own laptop equipment.

For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.

Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.

Come build with us!

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Solicitud rápida

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gcp ai empleos en centro madrid, md

Software Engineer - Cloud Platform Infrastructure (EMEA)

DevOps Engineer

Senior GenAI Engineer – LLMs & RAG

Specialist Data Science & Analytics

Platform Engineer - Remote

Junior DevOps Engineer

Senior Data Engineer

Google Cloud AI Architect

Strategic Alliance Operations Specialist – Google Cloud

Infrastructure Security Engineer

Senior Manager Data Science

Data Engineer - Remote

Business Development Representative - Iberian Markets

Data Solution Architect

Data Architect

Senior Software Engineer (Tech Lead)

DATA ENGINEER SENIOR VERTI

Senior Infrastructure Engineer - VMware & Hybrid Platforms (All Genders)

Staff Data Engineer

Data Engineer

Quiero recibir la alerta de empleo más reciente de gcp ai en centro madrid, md

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Come build with us!

For information on how we handle your personal data, please refer to our Recruitment Privacy Policy