Senior Observability Engineer

Tenth Revolution Group; Madrid; On-site; EUR 85,000 - 110,000; Full time

Job summary

Tenth Revolution Group in Madrid is seeking a Senior Observability Engineer to join a global team building an AI-driven monitoring platform for enterprise IT operations. You will own end-to-end observability, work with AI and Big Data, and shape how we prevent disruptions across complex networks and applications.

You will collaborate with international teams, implement automated monitoring, and drive AI adoption to deliver measurable improvements in visibility, reliability, and performance

Qualifications

• Degree in Computer Science or related field.
• 5+ years of experience in large-scale enterprise IT environments.
• Strong understanding of enterprise IT architectures.
• Professional English proficiency.

Responsibilities

• Understand observability requirements from internal stakeholders.
• Oversee external managed service providers and vendors.
• Take end-to-end ownership of the observability ecosystem, including tool development, automation, and operational monitoring.
• Collaborate with globally distributed teams to improve visibility, reliability, and performance across enterprise environments.
• Drive AI adoption and automation within observability processes.

Skills

Enterprise IT architectures

Networking background

Observability & monitoring

AI-driven automation

Vendor management

English proficiency

Leading cross-functional teams

Education

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

Tools

Grafana

Gigamon

Traffic Broker

Cisco

ThousandEyes

ELK Stack

Dynatrace

NetScout

CheckMK

Splunk

GitLab

Bitbucket

CI/CD

Job description

Senior Observability Engineer (AI-Driven Monitoring & Automation)

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 global 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:
• Tool development and automation
• Operational monitoring
• Work with technologies such as:
• Grafana
• Gigamon
• Traffic Broker
• Cisco
• ThousandEyes
• 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
  • Dynatrace
• NPM
  • NetScout
• Infrastructure Monitoring
  • CheckMK
  • 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:
• • 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

• 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.

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