Senior Observability Engineer (AI-Driven Monitoring & Automation)

Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.

Madrid, Spain (Hybrid)

International Team

English C1 Required

Are you passionate about observability, enterprise infrastructure, and leveraging AI to transform IT operations?

We're looking for a Senior Observability Engineer to join a general team building a next-generation observability platform powered by AI and Big Data . The mission is to predict, prevent, and analyze complex disruptions across large-scale enterprise environments while delivering end-to-end visibility across applications, networks, and infrastructure.

You'll work closely with international teams across Europe, helping shape the future of observability through automation, advanced monitoring, and AI-driven operational insights.

What You'll Do

Understand business and technical observability requirements from internal stakeholders.

Manage and oversee external managed service providers and vendors.

Take end-to-end ownership of the observability ecosystem, including:

Infrastructure design

Tool development and automation

CI/CD deployments

Operational monitoring

Continuous improvement initiatives

Work with technologies such as:

Grafana

Gigamon

Traffic Broker

Cisco

ThousandEyes

Zabbix

ELK Stack

Identify new ways to generate business value from monitoring and operational data.

Drive AI adoption and automation within observability processes.

Collaborate with globally distributed teams to improve visibility, reliability,



and performance across enterprise environments.

What We're Looking For

Required

Strong understanding of enterprise IT architectures

Solid networking and infrastructure background

Experience with observability and monitoring platforms such as:

APM

Datadog

Dynatrace

NPM

SolarWinds

NetScout

Infrastructure Monitoring

Zabbix

Nagios

CheckMK

Log Analytics

ELK

Splunk

Experience managing vendors and external service providers

Hands-on experience using AI tools to automate observability or operational processes

Knowledge of concepts such as:

Large Language Models (LLMs)

AI Agents

MCP Servers

AI-assisted automation workflows

Professional English proficiency

Bachelor's or Master's degree in Computer Science, Information Technology, Telecommunications, or a related field

5+ years of experience in large-scale enterprise IT environments

Nice to Have

Python, Shell Scripting, or JavaScript

AWS and/or Azure experience

GitLab, Bitbucket, or similar source code repositories

CI/CD tools and automation pipelines

What Makes You Successful

Strong analytical and problem-solving skills.

Ability to learn new technologies quickly and independently.

Innovative mindset with a passion for simplifying complex environments.

Strong communication and stakeholder management skills.

Comfortable working within international, globally distributed teams.

Interested? xqziphu Apply now or reach out directly to learn more!

#Observability #Monitoring #APM #NPM #InfrastructureMonitoring #Grafana #Dynatrace #Datadog #Zabbix #Python #AI #Automation #Cloud #AWS #Azure #DevOps #SRE #TechJobs #Madrid

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