10 publicaciones de empleo destacadas de devops engineer aws & terraform en mollet del vallès, ct (¡Están contratando!)

Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Engineering Manager - Runtime Platform
N26 —Barcelona, Barcelona provincia
- Teletrabajo
- DevOps
- Inglés
- Oficina
- Teletrabajo opcional
Arquitecto de Soluciones del Dato | Data Engineer & Cloud Analytics Barcelona
Deloitte —Barcelona, Barcelona provincia
- Teletrabajo
- Azure
- Informática
- DevOps
- Flexibilidad horaria
9d
Senior Cloud Engineer
The Yuki Company —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Staff Software Engineer
Workato —Barcelona, Barcelona provincia
- Teletrabajo
- Azure
- Informática
- DevOps
Solicitud rápida
Software Architect
Materialise —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- DevOps
- Inglés
2d
Senior Machine Learning Platform/Ops Engineer
Preply —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Máster
- SQL
Solicitud rápida
Director, Enterprise AI Platforms
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- DevOps
- Oficina
Backend - Arquitectura & Microservicios
The Yellow Nest Group —Terrassa, Barcelona provincia
- Trabajo híbrido
- DevOps
- Bases de datos
- AWS
Solicitud rápida
Senior Director - Enterprise AI Platforms
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- Informática

Quiero recibir la alerta de empleo más reciente de devops engineer aws & terraform en mollet del vallès, ct

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Lead AI Application Engineer (Infrastructure & LLMOps)

TechBiz Global GmbH
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

Azure
DevOps
NoSQL
SQL
AWS
Docker
Grado
Terraform
APIs
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.

We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Key Responsibilities:

Build & Run the Shared AI Platform

Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments.
Ensure high availability, low latency, and cost-efficiency for all shared AI resources.
Implement LLMOps/MLOps best practices, including automated deployment pipelines for models.

2. Curate the AI Services Catalogue

Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service.
Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in.

3. Manage AI Data Infrastructure

Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks).
Optimize data retrieval patterns to support real-time AI applications and agentic workflows.
Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently.

4. Enable Developer Self-Service

Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently.
Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints.
Conduct internal workshops and provide documentation to empower squads to use the platform effectively.

Must-Have Technical Skills

Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi.
Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift).
AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving.
Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases.
Languages: High proficiency in Python and Go or Rust for platform tooling.

Experience

8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
2+ years specifically focused on building AI/ML infrastructure or platforms.
Experience building Internal Developer Platforms (IDP) is a massive plus.

Solicitud rápida

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devops engineer aws & terraform empleos en mollet del vallès, ct

Lead AI Application Engineer (Infrastructure & LLMOps)

Engineering Manager - Runtime Platform

Arquitecto de Soluciones del Dato | Data Engineer & Cloud Analytics Barcelona

Senior Cloud Engineer

Staff Software Engineer

Software Architect

Senior Machine Learning Platform/Ops Engineer

Director, Enterprise AI Platforms

Backend - Arquitectura & Microservicios

Senior Director - Enterprise AI Platforms

Quiero recibir la alerta de empleo más reciente de devops engineer aws & terraform en mollet del vallès, ct

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