14 publicaciones de empleo destacadas de cloud observability engineer en md (¡Están contratando!)

Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
AI Native Product Engineer & Orchestrator
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
- APIs
- Inteligencia artificial
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Software Delivery Associate
Getnet Platforms —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Informática
- DevOps
- Seguro dental
- Seguro de vida
Solicitud rápida
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Senior Manager Platform & Data
Embat —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
Expert Manager, Software Engineering (Full Stack)
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida
Google Data and AI Specialist
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
Senior Software Engineer (AI)
Datadog —Madrid, Madrid provincia
- De guardia
- Oficina
- Máster
- Inteligencia artificial
Solicitud rápida
Project Manager
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Azure
- PMP
Engineer - AI Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
12h
Data Architect
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Máster
- AWS
Senior Solutions Architect (Data & AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- APIs
Platform Engineer
Backbase —Madrid, Madrid provincia
- De guardia
- Inglés
- Desarrollo de software
- Python
Solicitud rápida

More jobs to discover

Find similar jobs that you might be interested in.

AI Native Product Engineer & Orchestrator
Accenture —Madrid, Madrid provincia
Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Quiero recibir la alerta de empleo más reciente de cloud observability engineer en md

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

Explorar empleos en más ubicaciones

cloud observability engineer jobs near md

Empleos de Platform Engineer en Madrid, Madrid Provincia

Empleos de Full Stack Developer en Madrid, Madrid Provincia

Empleos de Data Engineer en Madrid, Madrid Provincia

Empleos de Senior Software Engineer en Madrid, Madrid Provincia

Empleos de Cloud Engineer en Sevilla, Sevilla Provincia

Empleos de Power Platform Microsoft en Madrid, Madrid Provincia

Empleos de Software Engineer en El Poblenou, Barcelona Provincia

Empleos de Platform Engineer en Alicante, Alicante Provincia

Empleos de Full Stack Developer en Barcelona Provincia

Empleos de Full Stack Developer en Marbella, Málaga Provincia

Empleos de Full Stack Developer en Elche, Alicante Provincia

Empleos de Full Stack Developer en En Remoto

Empleos de Game Developer en Barcelona, Barcelona Provincia

Empleos de Data Engineer en Galicia

Empleos de Data Engineer en Blimea, Asturias Provincia

Empleos de Data Science en Bilbao, Vizcaya Provincia

Empleos de Data Engineer en Bilbao, Vizcaya Provincia

Empleos de Data Engineer en Llodio, Álava Provincia

Empleos de Project Manager en Algimia De Alfara, Castellón Provincia

Empleos de Product Marketing Manager en Barcelona, Barcelona Provincia

Senior MLOps Engineer

NN Group -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Beneficios

Parking gratuito
Seguro de vida
Plan de pensiones

Cualificaciones

CI/CD
Azure
Inglés
AWS
Respuesta a incidencias
Terraform
Unity
Cloud

Descripción completa del empleo

NN Digital Hub is a subsidiary company of NN Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units.

Senior MLOps Engineer

As we scale our agentic AI strategy, we need to transform Databricks Mosaic AI into a self-service platform that empowers AI engineers across business units. Your role is to build and productize AI capabilities — from RAG pipelines to model serving — and deliver them as scalable, governed, and developer-friendly services.

The Data Intelligence Platform is the runtime for models and agentic AI at NN. It runs on Databricks MLflow and Mosaic, deploying models and agents on Databricks serverless or NN’s Kubernetes (Seldon) where needed. Mosaic Vector Search provides RAG for GenAI; the platform spans Azure and AWS to meet latency and proximity needs. As Senior MLOps Engineer, you will standardize build deploy serve monitor across these topologies and make production operations audit-ready by design.

Your Impact as Senior MLOps Engineer: What are you going to do

Define the reference MLOps stack for the Agentic Platform: CI/CD patterns and environment promotion with approvals; serving topologies (Databricks serverless vs Kubernetes/Seldon) with decision records; evaluation & drift monitoring with MLflow/Mosaic; and SLO-based run operations. Integrate Unity Catalog lineage/policies into pipelines so teams meet governance requirements without friction and support the Run expansion.

Key responsibilities include:

Own CI/CD standards and environment promotion for models/agents: pipelines, approvals, artifact provenance, immutable releases, and rollback/canary patterns.

Standardize serving topologies: Databricks serverless vs Kubernetes/Seldon, with clear decision records, SLOs (latency/reliability), and cost/performance guardrails.

Implement evaluation and monitoring: MLflow-based offline/online evaluation, drift/quality checks, and end-to-end telemetry dashboards for model/agent behavior and costs with all security & compliance basic in orders in mind

Integrate governance-by-design: enforce Unity Catalog lineage/policies and capture approvals and evidence in pipelines to support audits and marketplace readiness.

Operate the Agentic Platform to SLOs: incident response/on-call, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.

What do we offer?

As part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers. Among the benefits are:

We work with a hybrid model
Starting financial aid so you can equip your workspace at home
Allowance and telework subventions
Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
We hire a life insurance and a pension plan for all our employees
We establish objectives bonus as a performance reward
You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…
We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
We care about your wellbeing. We have a Wellness Program available.
We are digital and we love technology. Also, every team works under agile methodology.

Who you are:

5+ years in MLOps/SRE or platform engineering with production ML/AI workloads; deep experience with Databricks MLflow is highly preferred and enterprise CI/CD.

Design/operation of multi-env releases (dev test prod) with approvals, secrets, and identity; IaC (Terraform/CrossPlane) and cloud networking on Azure and/or AWS.

Hands-on with evaluation/monitoring for models/agents; comfort with SLOs, incident response, and capacity/cost management.

Familiarity with tools like ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, and Grafana.

Optional qualifications:

Experience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic when appropriate.

Familiarity with agentic AI evaluation patterns (task success, tool reliability) and RAG observability (Vector Search health).

Experience in multi-cloud operations and cross-region latency management.

Working knowledge of Unity Catalog lineage/policies and how they integrate with delivery pipelines and catalogs; ability to produce audit-ready evidence.

If you are a passionate and experienced Senior MLOps Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. We are waiting for you!

Please send your CVs in English language.

In Nationale-Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. One of our core values is taking care of our employees so they can give their best within a respectful environment.

Solicitar ahora

Refina tu búsqueda

cloud observability engineer empleos en md

Senior MLOps Engineer

AI Native Product Engineer & Orchestrator

MLOps Engineer - Agentic Platform

Software Delivery Associate

Director, Data Engineering (Capital Markets)

Senior Manager Platform & Data

Expert Manager, Software Engineering (Full Stack)

Google Data and AI Specialist

Senior Software Engineer (AI)

Project Manager

Engineer - AI Platform

Data Architect

Senior Solutions Architect (Data & AI)

Platform Engineer

More jobs to discover

Quiero recibir la alerta de empleo más reciente de cloud observability engineer en md

Related Searches

Explorar empleos en más ubicaciones

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión