Cloud AIOps & Automation Engineer

Your key responsibilities

• Implement AIOps capabilities including anomaly detection, event correlation, alert noise reduction, incident prioritization, and automated remediation.
• Design and maintain observability solutions using logs, metrics, traces, and events.
• Build telemetry pipelines using OpenTelemetry and related technologies.
• Develop automation and self-healing workflows using Python, PowerShell, Bash, or Go.
• Implement AI-powered operational assistants, incident triage, and RAG-based knowledge solutions.
• Integrate observability, CI/CD, ITSM, and cloud platforms to improve operational intelligence.
• Support SRE practices including SLIs, SLOs, incident management, and reliability improvements.

Skills and attributes for success

Required Skills

• AIOps and Observability Platforms (Dynatrace, Datadog, Splunk, New Relic, Azure Monitor, Prometheus/Grafana)
• Microsoft Azure and/or AWS
• Kubernetes and Containers
• OpenTelemetry and telemetry pipelines
• Python and automation scripting
• GitHub Actions and/or Azure DevOps
• Incident Management and SRE fundamentals

Good To Have

• Semantic Kernel, LangGraph, LangChain
• Azure AI Foundry or Azure OpenAI
• Kafka, Elasticsearch/OpenSearch
• Terraform, ArgoCD
• ServiceNow integrations

Education:

Degree: Bachelors degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience