AI Operations Engineer

📋 Description

• Build and maintain observability standards (logs/metrics/traces) and dashboards using Splunk.
• 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 speed incident triage.
• Implement automated runbooks and remediation workflows using scripts.
• Operate and optimize telemetry pipelines for data quality, scale, and cost.

🎯 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

🎁 Benefits

• 25 days annual leave + 2 volunteer days + 1 un-sick day
• Holiday buy/sell option (up to 5 extra days/year)
• Flexible hybrid working
• Employee Health Insurance
• Mental Health Support
• Pension Contribution