Cloud Security Architect focused on building secure cloud platforms, DevSecOps pipelines, and AI-enabled systems across modern cloud environments.

I work at the intersection of cloud security, platform engineering, and AI security, designing architectures that help organizations scale infrastructure while protecting identity, data, and workloads.

Cloud Security Architecture
DevSecOps and Secure CI/CD
Terraform and Infrastructure as Code
Kubernetes and Container Security
AI / GenAI Security Architecture
Multi-Cloud Platforms (GCP • AWS • Azure)

Security considerations and architecture ideas for LLM systems, RAG architectures, and AI workloads.

Repo →
https://github.com/vjaiii/genai-cloud-security-patterns

Reference Terraform structures for building secure cloud foundations across GCP, AWS, and Azure.

Repo →
https://github.com/vjaiii/terraform-cloud-security-blueprints

Secure CI/CD workflows integrating:

• SAST
• secrets scanning
• container security
• infrastructure scanning
• policy validation

Repo →
https://github.com/vjaiii/devsecops-security-pipeline-patterns

Practical guidance for:

• RBAC design
• workload security
• network policies
• secrets protection
• runtime monitoring

Repo →
https://github.com/vjaiii/kubernetes-security-hardening-guide

Architecture notes and design ideas for secure enterprise cloud platforms.

Repo →
https://github.com/vjaiii/cloud-security-architecture-patterns

Response playbooks for cloud incidents including:

• IAM compromise
• suspicious API activity
• data exposure scenarios
• Kubernetes incident triage

Repo →
https://github.com/vjaiii/cloud-incident-response-playbooks

GenAI security architectures
Secure RAG systems
Cloud platform guardrails
Zero-Trust cloud architectures
Security automation in DevSecOps pipelines

GCP • AWS • Azure

Terraform • Kubernetes • Docker

IAM • Network Security • DevSecOps • Runtime Security • Cloud Governance

LinkedIn
https://www.linkedin.com/in/vijay-kumar-385b27219/

GitHub
https://github.com/vjaiii

Below are some architecture patterns and security workflows I frequently work with across cloud environments.

Secure architecture considerations for LLM and AI workloads including identity, service isolation, and monitoring.

A secure CI/CD pipeline integrating static analysis, secrets scanning, container security, and controlled deployment.

Infrastructure as Code security workflow using policy checks and automated validation before infrastructure deployment.

Security layers for Kubernetes environments including RBAC, network policies, pod security, and runtime monitoring.

Secure access design using identity-based access, proxy enforcement, private services, and monitoring.