Ravikiran
Ippili
Cloud DevOps · Build & Release · AWS · Azure · GCP · Big Data · AI
A seasoned technology leader with 15+ years of hands-on experience in DevOps, Configuration, Build & Release Management, CI/CD automation, and Cloud Architecture across AWS, Azure, and GCP. From Kubernetes and Terraform to Hadoop ecosystems, IBM middleware, and AI-driven pipelines — Ravikiran delivers enterprise-grade solutions built to perform, scale, and evolve.
Core Technical Skills
Career Timeline
Began career building J2EE applications — EJB, JMS, Servlets — for financial and insurance clients. Developed deep expertise in object-oriented design and enterprise patterns.
Promoted to senior role, leading IBM WebSphere and MQ deployments for high-volume transactional systems. Introduced automated monitoring and first CI pipelines using Jenkins.
Took ownership of mission-critical AIX/RHEL environments for a bank serving 5M+ customers. Led IBM WAS cluster setup, DB2 replication, and 24/7 production support operations.
Spearheaded DevOps transformation programs — Kubernetes, Docker, Terraform, GitOps. Architected first AWS cloud migrations reducing infrastructure cost by 40% for clients.
Designed and delivered multi-region AWS architectures (EKS, Lambda, RDS, CloudFront) for healthcare and retail platforms. Led teams of 8–12 engineers across three continents.
Founded VBION in 2020 to deliver enterprise-grade technology consulting to Canadian and global businesses — cloud, DevOps, middleware, AI integrations, and full-stack development.
Deep-Dive Capabilities
Cloud Architecture (AWS · Azure · GCP)
- Architected multi-tier AWS solutions (EC2, ECS, EKS, Lambda)
- Azure & GCP cloud deployments and hybrid cloud strategies
- Designed highly available, fault-tolerant cloud infrastructure
- Cost optimisation reducing cloud spend by up to 40%
- VPC design, IAM policies, WAF, CloudTrail, GuardDuty
- CloudFormation, ARM templates & CDK for infrastructure as code
AI & Intelligent DevOps
- AI-driven CI/CD pipelines with intelligent test selection
- LLM integration for automated code review and issue triage
- MLOps pipeline design: model versioning, deployment & drift monitoring
- AI-powered anomaly detection in production using Splunk & AppDynamics
- Predictive auto-scaling and incident forecasting on cloud workloads
- GenAI tooling (GPT, Gemini) embedded in DevOps workflows
DevOps · Build · Release
- End-to-end CI/CD: Jenkins, GitLab CI, GitHub Actions, Hudson
- Build automation: Maven, Ant, MS-Build — artifact lifecycle with Nexus
- Configuration management: Chef Cookbooks, Puppet manifests, Ansible
- IBM Urban Code Deploy (UCD) — applications, components, snapshots
- Zero-downtime blue/green and canary rollout strategies
- Kubernetes + Helm + GitOps (ArgoCD) cluster management
Java Development
- 15+ years building enterprise Java / J2EE applications
- Spring Boot microservices and RESTful / GraphQL APIs
- EJB, JPA/Hibernate, JMS, Servlets — full J2EE stack
- Event-driven architecture with Kafka and IBM MQ
- Deployments on Tomcat, JBoss, WebLogic, WebSphere
- TDD with JUnit 5, Mockito, and integration testing
Python & Automation
- Infrastructure automation scripts (provisioning, deployments)
- Scripting across Python, PowerShell, and JavaScript
- Data processing with Pandas, NumPy, PySpark
- REST API development with FastAPI and Flask
- AI/ML integration: TensorFlow, Scikit-learn pipelines
- AWS Boto3 — programmatic cloud resource management
Big Data & Hadoop Ecosystem
- Hadoop architecture: MapReduce, YARN, HDFS, HBase
- Data ingestion with Sqoop and Apache Kafka
- Querying and analytics: Hive, Apache Drill
- Workflow orchestration with Oozie and Kylo
- Large-scale processing with Apache Spark
- AWS EMR for managed big data workloads
Unix / Linux Expert
- Advanced shell scripting (Bash, Ksh, Zsh, PowerShell)
- System administration: AIX, RHEL, Ubuntu, CentOS, Windows
- Version control: Git, SVN, TFS, Bitbucket
- Performance tuning, kernel parameters, cron automation
- Log management: Splunk, Nagios, AppDynamics monitoring
- Large-scale Unix migrations and environment setups
Middleware & Integration
- IBM WebSphere Application Server (WAS) — admin & tuning
- IBM MQ: queue management, clustering, high availability
- IBM DB2: DBA tasks, query optimisation, replication
- SOA & ESB patterns — service integration at scale
- REST & SOAP API integration and transformation
- IBM DataPower Gateway and API management
Certifications & Qualifications
Academic Background
Tools & Technologies
How We Can Engage
Flexible engagement models tailored to your team size, budget, and project needs.
Cloud Consulting
AWS architecture review, migration planning, cost optimisation. Fixed-scope or ongoing retainer.
DevOps as a Service
CI/CD setup, Kubernetes management, infra automation. Embedded in your team on a contract basis.
Team Augmentation
Senior Java/Python engineer joining your team for sprints, architecture guidance, or code reviews.
Technical Advisory
Fractional CTO or technical co-founder — strategy, vendor evaluation, team hiring, and roadmap planning.
"Technology should solve real problems, not create new ones. I build systems that are reliable, observable, and built to evolve."
With over 15 years across banking, telecommunications, healthcare and retail sectors, Ravikiran brings a pragmatic, results-first mindset. Whether architecting a greenfield AWS environment, stabilising a legacy IBM WAS estate, or building automation in Python that saves hundreds of engineering hours — the goal is always the same: deliver maximum business value with minimum complexity.
Ready to Work Together?
Bring Ravikiran onto your project — whether it's a cloud migration, a DevOps overhaul, or building a new enterprise platform from scratch.