14 publicaciones de empleo destacadas de workload orchestration engineer en md (¡Están contratando!)

AI Infrastructure Solutions Engineer
DDN —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Máster
- Scripting
Solicitud rápida
AI Agent Developer
Siemens Energy —Tres Cantos, Madrid provincia
- Jornada completa
- Informática
- Máster
- AWS
7d
Senior Data Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Cloud Security Engineer
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
Senior DevOps Platform Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
Sr. DevOps Engineer
mediasmart —Madrid, Madrid provincia
- Turno de 12 horas
- Español
- DevOps
- Inglés
Solicitud rápida
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida
Lead Engineer– Data Platform
Deutsche Bank —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- Java
1d
Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
Cloud Architect (AWS) – ODS
Santander Bank —Madrid, Madrid provincia
- Teletrabajo
- Español
- DevOps
- Inglés
Senior AI Engineer
Trinetix —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Máster
- APIs
Solicitud rápida
4d
Team Lead IT Operations (m/f/d)
Infront Financial Technology GmbH —Madrid, Madrid provincia
- Jornada completa
- Oracle
- DevOps
- Inglés
1d
AI Data Architect (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Cloud Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- AWS
- JavaScript
Solicitud rápida

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AI Agent Developer
Siemens Energy —Tres Cantos, Madrid provincia
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform…
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AI Infrastructure Solutions Engineer

DDN -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

Optimización del rendimiento
Derecho
DevOps
Máster
Bash
Scripting
Cloud
S3
Linux
Inteligencia artificial
Python
Shell Scripting
Debugging

Descripción completa del empleo

DDN is expanding our Enterprise AI offerings to include the integration of industry leading technologies with DDN Infinia and DDN EXAScaler storage. These solutions will be optimized for inference and RAG workloads and require integration into the customer’s environment. Our support organization is deep on storage (Infinia, EXAScaler); we are now hiring an AI Infrastructure Solutions Engineer to deploy our complete AI solutions. This implementation will include NVIDIA AI Enterprise services (NIMs, NeMo, Triton, GPU Operator, licensing), vector databases (initially Milvus), RAG/agentic workflows, and the high‑performance storage and networking fabric that underpins them.

In this role, you will either remotely or onsite in some cases deploy the DDN AI solutions and work to customize this to the end user requirements. You will work with DDN internal teams, vendors and other partners as needed to successfully deploy these solutions.

Key Responsibilities

Serve as the primary technical point of contact for assigned strategic customers, that are deploying DDN AI solutions
Work with Pre-sales to interpret design considerations during solution deployment
Drive operational efficiency through automation, tooling, documentation, and repeatable deployment workflows
Develop and deploy scripts and tools to support customer environments (DevOps-focused)
Be prepared to develop scripting to deploy system monitoring and other metrics based tools to integrate with customer infrastructure
Support AI/ML, data‑intensive, and HPC workloads running at scale in on‑prem, hybrid, and cloud‑adjacent environments
Work closely with customers to optimize the their AI applications to better work with DDN technology

Required Qualifications

5+ years of experience in a senior technical role deploying complex, customer‑facing production systems
Experience administering and operating Lustre or similar parallel file systems in large‑scale environments
Experience with object storage and S3‑compatible systems
Strong Linux systems knowledge, including performance tuning and troubleshooting
Solid understanding of distributed storage architectures, networking fundamentals, and data movement at scale
Proven ability to work directly with customers, communicate clearly, and build trusted technical relationships
Ability to work effectively across cross‑functional teams including Engineering, Product Management, Support, and Field Services

Preferred Qualifications

Experience with additional parallel file systems such as IBM Spectrum Scale or StorNext
Experience developing and debugging automation using shell scripting, Python, Bash, or similar languages
Strong understanding of networking technologies including InfiniBand, Ethernet, TCP/IP, and routing
Knowledge of NVAIE services (e.g., NIMs, NeMo, Triton, TensorRT/TensorRT‑LLM, GPU Operator, licensing/NLS) and vector databases (e.g., Milvus)
Familiarity with NAS and data transfer protocols (NFS, SMB/CIFS, SFTP, rsync, etc.)
Experience with authentication and identity systems (LDAP, Active Directory, Kerberos, OAuth2/OIDC, SAML)
Experience using network diagnostics and troubleshooting tools (tcpdump, Wireshark, LLDP, etc.)
Exposure to AI/ML infrastructure operations, GPU‑accelerated environments, or large‑scale data pipelines
Experience with deployment and orchestration of large scale compute systems (Kubernetes, SLURM, BCM etc)
Experience working in globally distributed or remote teams

Additional Information

Occasional physical tasks related to hardware setup may be required, with appropriate tools and support

Why Join DDN

Work on real, production‑scale AI and HPC systems that power world‑class innovation
Influence product direction through direct customer engagement
Collaborate with highly skilled engineers across storage, networking, and distributed systems
Grow your career into senior technical leadership, architecture, or product‑facing roles

Solicitud rápida

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workload orchestration engineer empleos en md

AI Infrastructure Solutions Engineer

AI Agent Developer

Senior Data Engineer (f/m/d)

Senior Cloud Security Engineer

Senior DevOps Platform Engineer (Hybrid)

Sr. DevOps Engineer

AI/ML Specialist Solutions Architect

Lead Engineer– Data Platform

Senior Data Engineer - Databricks (m/f/*)

Cloud Architect (AWS) – ODS

Senior AI Engineer

Team Lead IT Operations (m/f/d)

AI Data Architect (m/f/d)

Cloud Architect

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