Senior AIOps & Automation Engineer
Core
Build and productionize AI-driven operations capabilities to reduce alert fatigue, improve incident response, and automate service management workflows.
Role type
Senior AIOps & Automation Engineer
Builds
Production ML models for anomaly detection and predictive monitoring; automated remediation workflows; intelligent service management pipelines.
Domain
IT Operations / SRE / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, ML model training and deployment, operational telemetry (metrics/logs/events/traces), event correlation, workflow orchestration, data pipeline engineering, CI/CD integration, Kubernetes, infrastructure as code
Preferred skills
AIOps platforms, observability tools, model lifecycle management (monitoring/retraining), cloud platforms
Technologies
Python, Kubernetes, ML frameworks, CI/CD tools, cloud platforms
Responsibilities
Build and deploy AIOps capabilities to reduce alert fatigue; Develop ML approaches for anomaly detection and predictive monitoring; Design data pipelines for operational signals; Create automation scripts and runbooks for incident response; Engineer AI-native service management workflows; Partner with teams to automate release and change activities; Contribute to engineering standards for model performance and safe automation; Build reusable components and patterns.
Seniority
Senior, hands-on IC
