AIOps Engineer
Core
Design and implement full-stack observability strategy, predictive incident analysis using AI/ML, and automated remediation for business, application, and process monitoring.
Role type
Senior AIOps Engineer (Observability & Automation)
Builds
Unified observability dashboards, automated runbooks, predictive anomaly detection models, and integrated ITSM/CMDB workflows.
Domain
IT Operations, SRE, Cloud Infrastructure, AIOps
Deliverable
production ML models | infrastructure
Required skills
Full-stack observability (Dynatrace, Grafana, Elastic, OpenTelemetry), AIOps/ML for anomaly detection, Infrastructure as Code (Ansible, Terraform), ITSM/CMDB integration (BMC Helix, ServiceNow), Cloud platforms (AWS, Azure, GCP), Scripting (Python, Bash, PowerShell), SRE practices (SLIs/SLOs, error budgets)
Preferred skills
Generative AI assistants, Kubernetes, FinOps, Microservices architectures
Technologies
Dynatrace, Grafana, Zabbix, Elasticsearch, OpenTelemetry, Gemini, Claude, OpenAI, Ansible, Terraform, BMC Helix, Kubernetes, Docker, AWS, Azure, GCP, Oracle Cloud, Python, Bash, PowerShell, Git, n8n
Responsibilities
Design full-stack observability strategy and instrument services with metrics, logs, and traces; Implement AI/ML models for anomaly detection, root cause analysis, and incident prediction; Automate incident creation, enrichment, and closure via ITSM/CMDB integration; Develop automated runbooks and self-healing flows for remediation; Operate 7x24 monitoring with auto-scaling and on-call policies; Consolidate multi-source monitoring data into unified views; Extend observability to multi-cloud and hybrid environments.
Seniority
Senior, hands-on IC
