Vijay Kakade.
AI, Cloud & DevOps Engineer.
I architect cloud at scale.
Multi-cloud infrastructure across AWS, Azure, GCP & OCI — built for availability, security, and zero-downtime operations.
AI that works in production.
Designing agentic workflows, RAG pipelines, and LLM integrations that turn intelligence into measurable outcomes.
Hi, It's Vijay.
I'm a Multi-Cloud Architect and AI Engineer with 13+ years of experience building resilient, enterprise-grade systems and the intelligent automation that powers them. I specialize in bridging the gap between deep DevOps infrastructure and applied Generative/Agentic AI.
From architecting high-availability cloud landing zones across AWS, Azure, GCP, and OCI to constructing automated CI/CD pipelines, my career has been dedicated to scaling systems and eliminating manual complexity. Today, I translate that infrastructure expertise into designing production-ready AI solutions—building agentic workflows, LLM integrations, and RAG pipelines.
I thrive on turning complex operational challenges into streamlined, self-healing platforms. Whether leading teams, mentoring engineers, or designing zero-downtime architectures, I focus on delivering real-world, measurable impact where performance and stability are non-negotiable.
Download ResumeSkills & Expertise
Tools and technologies I use to build scalable and automated cloud environments, focusing on CI/CD automation, Infrastructure as Code, and production-ready solutions.
Technical Arsenal
I specialize in architecting highly available multi-cloud systems, automating infrastructure, and deploying cutting-edge Generative AI solutions.
Cloud Architecture & Systems
AWS, Azure, GCP, Oracle Cloud (OCI), IBM Cloud, VMware (vSphere/ESXi), IBM DB2, Oracle, PostgreSQL, MongoDB, High Availability, Disaster Recovery, Landing Zones
DevOps, Containers & IaC
Terraform, Ansible, CloudFormation, Kubernetes, Docker, Jenkins, Git/GitLab, Python, Bash, Prometheus, Grafana, ELK Stack, AWS CloudWatch
Generative & Agentic AI
Claude, OpenAI APIs, Azure OpenAI, Hugging Face, Prompt Engineering, Agentic AI Workflows, Multi-Agent Orchestration, Vector Databases, Oracle AI Vector Search, GitHub Copilot
Professional Experience
A journey across global enterprises, consulting, and IT leadership roles—delivering cloud, DevOps, SRE, and automation solutions in diverse industries.
Wipro
Pune, MH, IndiaSolutions Consultant | AI Engineer | Multi-Cloud Architect | DevOps Lead
- Lead AWS cloud migration, cutting infrastructure costs by 25% and boosting performance by 30%.
- Design Azure Landing Zones per Microsoft CAF for secure, scalable cloud foundations.
- Architect multi-region high-availability deployments, reducing downtime by 45%.
- Automate deployments via Terraform, Bicep, and ARM templates, cutting manual effort by 40%.
- Optimize cloud costs by 30% through Reserved Instances, Savings Plans, and rightsizing.
- Streamline CI/CD pipelines via Jenkins, increasing deployment frequency from bi-weekly to daily.
- Design Generative AI and Agentic AI solutions (chatbots, RAG pipelines) using Claude, OpenAI, Azure OpenAI, Hugging Face.
- Build LLM-powered automation with Vector Databases for AI-driven infrastructure operations.
- Mentor 10 junior engineers and build monitoring systems, reducing MTTD by 50% and boosting productivity by 40%.
Capgemini
Bengaluru, KA, IndiaSenior Consultant - SRE | Multi Cloud | DevOps Engineer | Linux-Unix
- Designed and deployed scalable, secure multi-cloud infrastructure across AWS, GCP, and Azure for 24+ applications, optimizing cost and performance.
- Built Jenkins CI/CD pipelines integrated with Git and Docker, accelerating deployment frequency.
- Implemented observability using Prometheus, Grafana, ELK Stack, and CloudWatch, ensuring 99.9% application availability.
- Led migration of monolithic applications to microservices, reducing deployment failures by 80%.
- Automated performance testing and engineering, improving system efficiency by 30%.
- Designed zero-data-loss disaster recovery plans, minimizing downtime during outages.
- Automated database backup/recovery via scripting, cutting manual effort by 95% & Deployed IBM TRIRIGA (TAS) environments from scratch using automated and manual provisioning.
Wockhardt Ltd.
Mumbai, MH, IndiaSr. Systems Engineer | Multi Cloud | Linux-Unix | IT Infrastructure | Data Center Operations
- Led a team of 7 engineers supporting client VMware infrastructure on vSphere 6.0/6.5 Enterprise Plus, providing architectural guidance across complex environments.
- Designed and deployed RHEL, CentOS, and Fedora environments with KVM virtualization, including application deployment and support.
- Administered VMware vCenter/ESXi, configuring vMotion, HA, DRS, and virtual networks; managed backups using Veeam.
- Managed multi-platform infrastructure (Linux/Windows), including Active Directory, LDAP, Exchange, and patch management.
- Led full project lifecycle from requirements to live implementation, maintaining production, development, and test environments.
ValuD Consulting LLC (Known as JLL Technologies)
Chh. Sambhajinagar, MH, IndiaSystems Engineer | Enterprise Systems | IBM TRIRIGA Architect | Multi Cloud | Linux-Unix
- Led enterprise IT operations as Lead Systems/Network Administrator, driving monitoring and deployment automation improvements.
- Led complete IBM TRIRIGA implementation lifecycle — sizing, installation, configuration, testing, deployment, and documentation.
- Engineered TRIRIGA integrations with enterprise systems, developing technical specifications and Real Estate module functionality.
- Administered IBM HTTP Server, TRIRIGA, WebSphere, JBoss, Apache, and IIS across Linux environments.
- Delivered enterprise-class VMware infrastructure (vSphere 6.0/6.5) as multi-tenant cloud base for service provider partners. Administered vCenter, configuring HA/DRS clusters, VM templates, Fault Tolerance, and vRealize Operations Manager for capacity planning.
Jeet Institute
Chh. Sambhajinagar, MH, IndiaLead Instructor – Cisco Networking
- Delivered hands-on instruction and curriculum development for Cisco Networking (CCNA), Linux system administration, and Windows Server technologies.
Certifications
Industry-recognized credentials in cloud, DevOps, AI, and IT infrastructure—demonstrating expertise, continuous learning, and a commitment to excellence.
Nov-2025
Redhat Certified Virtualization Administrator
Sep-2012
Redhat Certified Engineer
Aug-2012
Novell Certified Network +
Feb-2007
Microsoft Certified System Administrator
Mar-2010
Microsoft Certified Professional
Feb-2007
My Projects
A collection of my hands-on DevOps, Cloud & Automation work.
CI/CD & IAC
Multi-Cloud Infra Deployment using Terraform & Azure DevOps
A fully automated CI/CD pipeline where Azure DevOps triggers Terraform code to deploy infrastructure across Azure, AWS, and GCP. Includes dynamic modules, backend state management, YAML pipelines, and production-grade IaC workflows.
Cloud Engineering
Production-Grade Azure Infrastructure with Terraform
Builds a production-grade Azure cloud infrastructure using Terraform, featuring a fully automated deployment pipeline and real-time CPU-based autoscaling including Virtual Network, Load Balancer, and VMSS.
Latest Writings
I frequently write about Cloud Architecture, DevOps automation, and AI integrations. Check out my latest thoughts.
Day 4: Ditching the Data Traps — Mastering the Train-Test Split and Avoiding Data Leakage
Evaluating models on training data is a fatal error. Today, we cross into Machine Learning basics, focusing on proper train-test partitioning in Scikit-Learn and securing preprocessing pipelines against data leakage.
The Best of Both Worlds: Why HTTP Finally Added the QUERY Method
For decades, API architects and developers had to choose between GET URL limits and POST non-idempotent semantics. In June 2026, the IETF officially resolved this constraint with the QUERY method (RFC 10008).
Day 3: Ingestion Architecture — Communicating with Web APIs and Extracting Raw Content
As an AI engineer building advanced RAG loops or multi-agent pipelines, your models require live data. Day 3 focuses on Requests for web transactions and BeautifulSoup for parsing raw HTML.