Azure ML, MLops, Airflow, Portkey, DevSecOps principles, MLflow, anomaly detection, data governance evaluation frameworks, CI CD, correlation and remediation, Kubeflow, automated incident detection, telemetry integration, AIOps frameworks, Promptfoo, observability, monitoring baselines, LLMOps, AI ML pipeline orchestration, AIOps-driven diagnostics, RAG validation, SLOs, automated health checks, model lifecycle automation

Cloud Infrastructure, Cloud Operations, AWS, Microsoft Azure, Cloud Strategy, Cloud Platform Management, Cloud Transformation, Enterprise Cloud Architecture

security operations management , cloud security, Gcp, Siem, Threat Intelligence, Azure, AWS, SOAR, AI for cybersecurity operations, offensive security, security operations tools, security analytics

Golang, Containers, Dns, Gcp, Terraform, Azure, Helm, Kubernetes, Python, Virtualization, AWS, Security

Java, Gcp, Distributed Systems, Azure, Python, Kubernetes, AWS, Go

React, Unix Scripting, Aws Ec2, Python, Sql, Context-aware dialogue systems, DevOps methodologies, AI agents or chatbots, Server-side APIs, Scalable fault-tolerant microservices

AWS (CloudWatch, CloudTrail), Azure (Monitor, App Insights), Terraform, Ansible, Python, Datadog, Dynatrace, Splunk, Elk, CI/CD, X-Ray, Log Analytics

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Solution architecture, Cloud Computing, Api Integration, Machine Learning, Software Engineering, Generative AI, AI Agents, Model deployment, Model fine-tuning, Vector databases, Production Operations, Cloud-native AI architectures, AI workflow orchestration, Inference optimization, Prompt Engineering, Observability

Logging, Git, Docker, Dashboarding, Linux Shell Scripting, Siem, metrics, Kubernetes, tracing, operational procedures, runbooks, CI CD, alerting, production support models, observability platforms, escalation paths, Incident Response workflows, enterprise monitoring

Logging, Identity And Access Management, Git, Docker, Incident Management, Siem, Linux Shell Scripting, Kubernetes, automation using Python or Go, post-incident reviews, SLIs, tracing, secrets management, Monitoring, alerting, production reliability practices, Capacity Planning, observability platforms, SLOs, Incident Response workflows, enterprise monitoring