AI Operations Engineer (R-19389)

Dnb; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave

Holiday buy & sell

Flexible hybrid work

Employee Health Insurance

Mental Health Support program

Pension Contribution

Family Friendly Leave

Life Assurance

Educational Assistance Program

Life-Style Account

Job summary

Dun & Bradstreet is seeking an AI Operations Engineer to uphold the reliability of cloud-hosted AI services and drive observable insights across the stack.

You will build dashboards with Splunk, tune alerts and SLOs, and weave observability into CI/CD pipelines while reducing noise and supporting fast incident response. This role requires cloud experience (GCP preferred) and scripting skills.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence or related field.
• Hands-on experience with observability and monitoring tools (Splunk).
• Experience in cloud-native environments (GCP preferred).
• Experience with CI/CD pipelines and automation (Python, Bash, or similar).
• Strong problem-solving and ownership mindset.
• Proficiency with Microsoft Office Suites.

Responsibilities

• Build and maintain observability standards (logs, metrics, traces) and dashboards.
• 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 incident triage.
• Implement automated runbooks and remediation workflows.
• Operate and optimize telemetry pipelines for quality, scale and cost.
• Support monitoring of AI/LLM services for latency, errors and cost anomalies.
• Own and evolve observability platforms, dashboards, alerts and SLOs.

Skills

Observability experience

Automation & scripting

CI/CD pipelines

Python

Bash

Incident management

Education

Bachelor's degree in Computer Science, Artificial Intelligence or related field

Tools

Splunk

GCP (Google Cloud Platform)

Job description

Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

The AI Operations Engineer is responsible for supporting the reliability and operational intelligence of cloud-hosted and AI-enabled services. This role focuses on observability, CI/CD-integrated reliability, alerting, and automated remediation to reduce noise, detect issues early, and improve incident response.

• 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
• Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
• Flexible working - hybrid model
• Employee Health Insurance
• Mental Health Support program
• Pension Contribution
• Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
• Life Assurance
• Educational Assistance Program
• Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)

• 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.
• 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.

All employees and contractors working in D&B should be aware that they have responsibilities in relation to the Company’s Business Management System. This relates to information and its security, quality, environment and health and safety both during and post-employment with D&B.

Dun & Bradstreet is an Equal Opportunity Employer

At Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you theopportunity to grow your career.