AI Ops Engineer (m/w/d)
Core
Design and implement intelligent IT operations platforms using AI-driven automation, observability, and predictive analytics to ensure high availability and autonomous system management.
Role type
Senior IC AI Ops Engineer
Builds
Autonomous, self-healing IT operations platforms and observability architectures
Domain
IT Operations, Cloud Infrastructure, Machine Learning
Deliverable
production ML models
Required skills
Python, Observability stacks (Prometheus, Grafana, ELK, OpenTelemetry), Big Data/Streaming (Kafka, Spark), Cloud platforms (AWS/Azure/GCP), Container orchestration (Kubernetes), Infrastructure automation (Ansible, Terraform, GitOps)
Preferred skills
Root Cause Analysis (RCA), Event correlation, Noise reduction, Automated remediation
Technologies
Python, Prometheus, Grafana, ELK, OpenTelemetry, Kafka, Spark, AWS, Azure, GCP, Kubernetes, Podman, Ansible, Terraform, Argo
Responsibilities
Develop AI-driven automation solutions for IT operations; Implement event correlation and noise reduction mechanisms; Build anomaly detection and predictive analytics systems; Conduct root cause analyses using ML methods; Deploy automated remediation and self-healing mechanisms; Build end-to-end observability architectures; Automate recurring workflows via scripting and infrastructure automation
Seniority
Mid-to-Senior, hands-on IC
