AIOps Engineer: Splunk ITSI & AI-Driven Ops (Madrid)

Tata Consultancy Services; Madrid; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Ticket restaurant plan

Childcare Ticket

Transport Ticket

Health Insurance

Home office stipend

Job summary

Tata Consultancy Services is seeking an experienced AIOPS Technician in Madrid to join a dynamic team. The role involves operating and evolving an enterprise event management ecosystem, owning the episode lifecycle, onboarding monitoring sources, and integrating across monitoring, ITSM, and on-call platforms.

Responsibilities include designing automated remediation, building AI-assisted agents, and evaluating migrations to new AIOps tooling. Hybrid work in Madrid with 8x5 on-call schedule.

Qualifications

• Hands‑on experience with enterprise event management or AIOps platforms.
• Strong integration engineering skills using REST APIs and webhooks.
• Experience with CI/CD delivery practices.
• ITIL incident, problem and change awareness.

Responsibilities

• Operate and evolve an enterprise event management ecosystem based on Splunk ITSI.
• Own the episode lifecycle, including correlation, aggregation, prioritisation and remediation activities.
• Onboard new monitoring sources from ingestion through production deployment.
• Manage integrations across monitoring, ITSM and on-call platforms.
• Design and deliver automated remediation capabilities and recovery actions.
• Build and maintain AI-assisted operational agents and knowledge retrieval capabilities.
• Evaluate, pilot and support migrations to new AIOps platforms and tooling.
• Perform incident investigations, root cause analysis and operational documentation management.

Skills

Splunk ITSI

ServiceNow

PagerDuty

Python

LangGraph

FastAPI

Education

FP or university degree

Job description

Tata Consultancy Services is seeking an experienced AIOPS Technician in Madrid to join a dynamic team. The role involves operating and evolving an enterprise event management ecosystem, owning the episode lifecycle, onboarding monitoring sources, and integrating across monitoring, ITSM, and on-call platforms.

Responsibilities include designing automated remediation, building AI-assisted agents, and evaluating migrations to new AIOps tooling. Hybrid work in Madrid with 8x5 on-call schedule.