AI Operations Engineer

Dun & Bradstreet; Dublin; On-site; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Job summary

Jobtailor is hiring an Observability Engineer in Dublin, Ireland. You will build and maintain observability standards across logs, metrics, traces, and events, and own dashboards using Splunk Observability.

The role focuses on alerting, SLO tuning, and embedding reliability checks into CI/CD pipelines. The ideal candidate nails production incidents, automates remediation, and optimizes telemetry for quality, scale, and cost.

Qualifications

• Bachelor’s or higher in CS/AI or related field.
• Hands-on experience with observability and monitoring tools (e.g., Splunk).
• Experience in cloud-native environments (GCP preferred).
• Experience with CI/CD pipelines and automation (Python, Bash, or similar).
• Solid understanding of production incidents and operational workflows.
• Deep experience with automation, event correlation, and auto-remediation.

Responsibilities

• Build and maintain observability standards (logs, metrics, traces, events) and dashboards using Splunk Observability.
• Configure and tune alerts and SLOs to reduce noise and improve signal quality.
• Embed observability and reliability checks into CI/CD pipelines.
• Analyze telemetry to detect anomalies and support faster incident triage and root-cause analysis.
• Implement automated runbooks and remediation workflows using scripts and tooling.
• Operate and optimize telemetry pipelines with a focus on data quality, scale, and cost efficiency.
• Support monitoring of AI/LLM services for latency, errors, and cost anomalies where applicable.
• Own and evolve observability platforms, standards, dashboards, alerting strategies, and SLOs.

Skills

Observability standards

Logs

Metrics

Traces

Events

CI/CD pipelines

Automation

Python

Bash

Data quality

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Artificial Intelligence

Tools

Splunk

GCP

CI/CD tools

Job description

Responsibilities

• Build and maintain observability standards (logs, metrics, traces, events) and dashboards using Splunk Observability.
• Configure and tune alerts and SLOs to reduce noise and improve signal quality.
• Embed observability and reliability checks into CI/CD pipelines.
• Analyze telemetry to detect anomalies and support faster incident triage and root-cause analysis.
• Implement automated runbooks and remediation workflows using scripts and tooling.
• Operate and optimize telemetry pipelines with a focus on data quality, scale, and cost efficiency.
• Support monitoring of AI/LLM services for latency, errors, and cost anomalies where applicable.
• Own and evolve observability platforms, standards, dashboards, alerting strategies, and SLOs.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence or related field
• Hands‑on experience with observability and monitoring tools (e.g., Splunk)
• Experience working in cloud‑native environments (GCP preferred)
• Experience with CI/CD pipelines and automation (Python, Bash, or similar)
• Solid understanding of production incidents and operational workflows.
• Deep experience with automation, event correlation, and auto‑remediation
• Proficiency in Microsoft Office Suites Skills
• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.

Hard Skills

• observability standards
• logs
• metrics
• traces
• events
• CI/CD pipelines
• automation
• Python
• Bash
• data quality

Soft Skills

• problem solver
• ownership mindset
• curiosity
• proactivity
• collaboration
• continuous growth mindset
• communication
• relationship building
• adaptability
• inspiration

Certifications & Qualifications

• Bachelor’s degree in Computer Science
• Bachelor’s degree in Artificial Intelligence