Senior Observability Engineer
Publicado en 2026-09-20
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TI/Tecnología
Ingeniería de confiabilidad del sitio/Confiabilidad del sitio, Cloud Computing: Infraestructura y Operaciones, Ingeniero de sistemas, Ingeniero de IA
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
- Thousand Eyes
- 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.
Experience with observability and monitoring platforms such as:
APM- Dynatrace
- Net Scout
- CheckMK
- ELK
- Splunk
- Strong understanding of enterprise IT architectures
- Solid networking and infrastructure background
- 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
- Git Lab, Bitbucket, or similar source code repositories
- CI/CD tools and automation pipelines
- 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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