13 publicaciones de empleo destacadas de devops developer en ct (¡Están contratando!)

Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
13d
Developer - Scala
Sage —Barcelona, Barcelona provincia
- Horas extra
- DevOps
- Sistemas ERP
- SQL
- Seguro dental
8d
Salesforce Marketing Cloud Lead
Boehringer Ingelheim España, S.A. —Barcelona, Barcelona provincia
- Jornada completa
- Salesforce
- DevOps
- Grado
- Abono gimnasio
Automation and AI Engineer
Product Madness —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Word
- Azure
- DevOps
Backend Software Engineer
ALEA —Barcelona, Barcelona provincia
- Festivos
- Trabajo híbrido
- Informática
- DevOps
- Inglés
Solicitud rápida
5d
Software Engineer Golang (m/f/d)
Schwarz Corporate Solutions —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- DevOps
Software Engineer (DevOps)
Revolut —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- DevOps
- Oficina
- AWS
19h
ServiceNow Developer (m/f/d)
PPG —Barcelona, Barcelona provincia
- Jornada completa
- DevOps
- Inglés
- Recursos humanos
Solicitud rápida
2d
Backend AI engineer
Business Insights —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Máster
Solicitud rápida
6h
Principal, Software Architect
Schneider Electric —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Sistemas ERP
- Días de asuntos propios
- Teletrabajo opcional
18h
.Net Software Developer
Oxigent —Barcelona, Barcelona provincia
- 42.000 € al año
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Seguro médico privado
- Teletrabajo opcional
1d
Salesforce Service Cloud Consultant / Business Analyst (m/f/d)
Schwarz Corporate Solutions —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Salesforce
- DevOps
2d
Senior .NET Developer
IT Partner España —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Teletrabajo opcional
11h

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Lead AI Application Engineer (Infrastructure & LLMOps)

TechBiz Global GmbH
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa
Hace 13 días

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

Refina tu búsqueda

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