Senior DevOps & Multi-Cloud Architect with 15+ years of industry experience across AWS, Microsoft Azure, and Google Cloud Platform. I design and operate production infrastructure for enterprise workloads, lead DevOps transformation initiatives, and build CI/CD pipelines that power mission-critical systems.
Alongside architecture work, I've trained 24,400+ engineers, taking learners from foundational concepts to placement-ready skills at top MNCs and product companies. Every concept I teach is grounded in practices I use in production — not theory detached from real systems.
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15+ Years Experience |
24,400+ Engineers Trained |
3 Cloud Platforms |
35+ Live Projects |
Veera Cloud Practice Environment |
- 🏗️ Architecting a multi-cloud disaster recovery solution for a critical enterprise application
- 🔍 Researching service mesh technologies (Istio) and advanced FinOps strategies for cloud cost governance
- 🤖 Building agentic AI workflows for DevOps — LLM-driven incident response, autonomous remediation agents, and RAG-based infra assistants
- 🤝 Open to collaboration on cloud security, serverless frameworks, and Infrastructure-as-Code open-source projects
- 🧩 Areas of expertise: AWS, Azure, GCP, Kubernetes, Terraform, Ansible, CI/CD pipelines, cloud cost optimisation, Generative & Agentic AI
Extending the DevOps craft into the AI layer — designing systems where LLMs and autonomous agents don't just assist engineers but actively operate infrastructure.
- LLM App Architecture — RAG pipelines, prompt/context engineering, and evaluation harnesses for production-grade LLM apps
- Agentic Systems — multi-agent orchestration (LangGraph, CrewAI-style patterns) for autonomous, tool-using workflows
- AIOps — LLM-powered log triage, anomaly detection, and self-healing pipeline automation
- Vector & Retrieval Infra — embeddings, vector databases, and hybrid search for grounding agents in real infrastructure data
- MLOps for LLMs — deployment, observability, and cost governance for model-serving pipelines on Kubernetes
LangChain LangGraph RAG Vector DBs OpenAI Anthropic Claude Hugging Face AIOps
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☁️ Cloud Platforms
⚙️ DevOps & Orchestration
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📈 Monitoring & Observability
💻 Programming & Scripting
🗄️ Databases
🤖 Generative & Agentic AI
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| Area | Focus |
|---|---|
| Project-Based Learning | Every module built around real deployments, not slide decks |
| Enterprise Cloud Architecture | Production-grade infrastructure design across AWS, Azure, and GCP |
| Kubernetes & Containers | Docker, EKS, AKS, GKE, Helm, ArgoCD, and full GitOps workflows |
| Infrastructure as Code | Terraform, Ansible, OpenTofu — end-to-end automation |
| AI & ML for DevOps | KubeGPT, GitHub Copilot, AIOps, LLM-powered pipelines |
| Generative & Agentic AI | LLM app architecture, RAG pipelines, autonomous multi-agent systems for DevOps automation |
| Cloud Security | IAM, SSO, VPC hardening, zero-trust, and compliance architecture |
| Observability | Prometheus, Grafana, ELK Stack, CloudWatch — full-stack alerting |
| Multi-Cloud Strategy | Cost optimisation, cloud-native migration, hybrid governance |
| Career Placement | Engineers placed at Amazon, Microsoft, TCS, Infosys, Wipro, and startups |
AWS Certified Solutions Architect Amazon Web Services · Professional |
Certified Kubernetes Administrator Linux Foundation / CNCF |
Azure DevOps Engineer Expert Microsoft Azure |
HashiCorp Terraform Associate HashiCorp |
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GCP Professional DevOps Engineer Google Cloud |
Docker Certified Associate Docker Inc. |
AWS Certified DevOps Engineer Amazon Web Services · Professional |
Certified Kubernetes App Developer Linux Foundation / CNCF |
Multi-Cloud CI/CD Pipeline
End-to-end CI/CD blueprint spanning AWS, Azure, and GCP with full automation.
AWS Azure DevOps Jenkins Docker Kubernetes Terraform
Serverless Data Lake on AWS
Fully serverless data lake architecture on AWS, optimised for cost and performance.
Lambda S3 Glue Athena Python
Kubernetes Cluster with GitOps
Production-grade Kubernetes cluster with a full GitOps workflow via ArgoCD.
Kubernetes ArgoCD Helm Terraform GitHub Actions
- 🌱 Contribute to five or more significant open-source DevOps tools
- 🏆 Achieve the AWS Certified DevOps Engineer – Professional certification
- 🧑🏫 Mentor aspiring cloud engineers and grow the community
- 📝 Publish six or more in-depth technical articles on multi-cloud architecture and FinOps
- 🤖 Ship a production agentic-AI framework for autonomous cloud operations
- DevOps Tooling — Pull requests for performance enhancements and bug fixes
- Cloud-Native Projects — Feature development for multi-cloud compatibility
- Infrastructure-as-Code Modules — Maintenance of widely-used Terraform modules for AWS resources
"The best way to learn multi-cloud DevOps is to build real systems — not memorise commands."
— Veerababu Narni