8 publicaciones de empleo destacadas de devops security engineer en catalunya (¡Están contratando!)

MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Python
20h
Fullstack (Back end - AI)
Business Insights —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
1d
Hybrid Cloud Architect
Grifols SA —Parets del Vallès, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
1h
QA Engineer (m/f/d)
Schwarz Corporate Solutions —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- DevOps
- Agile
1d
Lead Software Developer (Java, Python & AI Systems)
SITA Switzerland Sarl —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- DevOps
- Oficina
- Teletrabajo opcional
Senior Director, AI Cloud & Compute Services
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- DevOps
10d
Technical Lead - Cloud Data Engineering - Snowflake / DBT
Merck Group —Mollet del Vallès, Barcelona provincia
- Media jornada
- Azure
- Informática
- DevOps
Senior Java Software Developer (m/f/d)
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Seguro de vida
- Plan de pensiones

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Symrise —Barcelona, Barcelona provincia
In this role, you will contribute to the design and implementation of CI/CD pipelines, Infrastructure as Code, and containerized platforms.
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TM1 - Platform Expert
Sanofi —Barcelona, Barcelona provincia
The primary role is to define the technical architecture and solution, and plan the activities that will ensure that hosted applications are available, secured…
7d

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MLOps Engineer

PepsiCo -
Cornellà de Llobregat, Barcelona provincia

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Detalles del empleo

Hace 20 horas

Cualificaciones

TensorFlow
CI/CD
Azure
DevOps
Terraform
GitHub
Cloud
Python

Descripción completa del empleo

Overview:

We are seeking a Mid-Level MLOps Engineer to build, operate, and evolve our Kubeflow-based ML platform on Azure. This role focuses on enabling reliable, scalable, and cost-efficient ML workflows by designing CI/CD pipelines, managing Kubernetes-based ML infrastructure, improving platform observability, and supporting MLE and Data Science teams across the model lifecycle.

The ideal candidate is hands-on, comfortable working across infrastructure and ML workflows, and motivated to operationalize best practices in MLOps.

Responsibilities:

Platform & Infrastructure:

Deploy, configure, and operate Kubeflow components on Azure Kubernetes Service (AKS)

Support Kubernetes workloads for training, inference, and batch pipelines

Manage container images, registries, and ML runtime environments

Assist with Kubeflow and Kubernetes upgrades under senior guidance

CI/CD & Automation:

Build and maintain CI/CD pipelines for ML workflows and platform services

Automate model training, validation, and deployment pipelines

Implement reproducibility and versioning for data, models, and pipelines

Observability & Reliability:

Implement logging, monitoring, and alerting at the platform level

Diagnose and resolve workflow, pipeline, and infrastructure failures

Support SLAs and reliability objectives for ML platforms

Collaboration & Enablement:

Work closely with MLEs and Data Scientists to onboard workflows onto Kubeflow

Provide best practices, templates, and documentation for ML teams

Collaborate with Infra and Security teams on access control and compliance needs

Cost Awareness & Optimization:

Assist with collecting and reporting costs at Kubeflow namespace or workflow level

Identify optimization opportunities related to compute usage and scheduling

Qualifications:

3–6 years of experience in MLOps, DevOps, or Platform Engineering
Hands-on experience with Kubeflow, Kubernetes, Terraform (IaC), and containerized ML workloads
Strong experience with Azure cloud services (AKS, ACR, Storage, Networking, IAM, AD Groups)
Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Experience building CI/CD pipelines (GitHub Actions, Azure DevOps, Argo, etc.)
Understanding of ML lifecycle management (training, inference, monitoring, retraining)
Familiarity with observability tools (Prometheus, Grafana, Azure Monitor, DataDog)
Strong collaboration and communication skills

What makes us different?

Hybrid work model: combination of remote and collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Professional growth possibilities & learning opportunities
Variety of benefits to support your physical, emotional and financial wellbeing
Volunteering opportunities to help external communities

About PepsiCo
We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.
PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

#LI-Hybrid

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devops security engineer empleos en catalunya

MLOps Engineer

Fullstack (Back end - AI)

Hybrid Cloud Architect

QA Engineer (m/f/d)

Lead Software Developer (Java, Python & AI Systems)

Senior Director, AI Cloud & Compute Services

Technical Lead - Cloud Data Engineering - Snowflake / DBT

Senior Java Software Developer (m/f/d)

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