AI Observability & Reliability Engineer — Hybrid

Dun & Bradstreet; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave

Holiday buy & sell

Flexible working - hybrid model

Employee Health Insurance

Mental Health Support program

Pension Contribution

Family Friendly Leave

Life Assurance

Educational Assistance Program

Life-Style Account

Job summary

Dun & Bradstreet in Ireland is looking for an AI Operations Engineer to strengthen the reliability of our cloud-hosted and AI-enabled services, with a focus on observability, alerting, and automated remediation to reduce noise and speed incident response.

You will build and maintain dashboards using Splunk Observability, tune SLOs, and embed observability checks into CI/CD pipelines, while ensuring scalable telemetry and cost efficiency across our data platforms.

Qualifications

• Experience with observability and monitoring tools such as Splunk.
• Hands-on 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.

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

Monitoring tools

Cloud-native environments

CI/CD pipelines

Python

Bash

Incident response

Ownership mindset

Education

Bachelor’s degree in Computer Science or related field

Tools

Splunk Observability

Job description

Dun & Bradstreet in Ireland is looking for an AI Operations Engineer to strengthen the reliability of our cloud-hosted and AI-enabled services, with a focus on observability, alerting, and automated remediation to reduce noise and speed incident response.

You will build and maintain dashboards using Splunk Observability, tune SLOs, and embed observability checks into CI/CD pipelines, while ensuring scalable telemetry and cost efficiency across our data platforms.