Srihari Ramu Jonnalagadda
Hyderabad,TG
Summary
Accomplished Cloud & Infrastructure Engineer with expertise in cloud architecture and design, specialising in AWS and NVIDIA DGX platforms. Proficient in Infrastructure as Code using Terraform and CloudFormation, alongside container orchestration with Kubernetes and Docker. Demonstrates strong capabilities in DevOps automation, AI & ML platforms, and generative AI infrastructure. Skilled in project management, team leadership, and agile practices, ensuring successful project delivery through meticulous planning and risk mitigation. Committed to security compliance within multi-cloud environments while fostering technical collaboration with biomedical researchers and data scientists.
Overview
20
20
years of professional experience
2004
2004
years of post-secondary education
Work history
Associate Director - Cloud Platform Engineering AWS
Novartis Healthcare Private Limited
2019.11 - 2026.02
- Designed GPU-Based AI Infrastructure: Architected a scalable platform optimized for Generative AI workloads in pharma, supporting models like BioNeMo, AlphaFold, ESMFold, ProtGPT, and NVIDIA Clara.
- Enabled ML/Ops on Kubernetes: Collaborated with biomedical researchers to deploy ML/Ops solutions (Run:AI) on AWS EKS, accelerating scientific discovery.
- Unified Cloud Insights Platform: Built an internal tool integrating data from Confluence, SNOW, SharePoint, and LCD to deliver a centralized UI for AWS service qualification, whitelisting, and data sensitivity analysis.
- AI-Driven Automation for Cloud Engineering: Transformed AWS service upgrade processes using RAG-based AI to auto-update CFT/TFE configurations and design specs, boosting deployment velocity.
- Blueprint Generator for AWS Accounts: Developed a framework to visualize and manage service configurations, enabling seamless service lifecycle operations.
- Automated Service Qualification: Replaced manual qualification workflows with an AI-powered framework, improving speed and accuracy.
- Data Pipeline Leadership: Led the design of robust data pipelines for genomics and chemical compound datasets, ensuring scalable and efficient data handling.
- Security & Compliance Excellence: Partnered with cloud security architects to enforce multi-cloud security and compliance for sensitive pharma data.
- Cross-Functional Collaboration: Acted as a bridge between biomedical researchers, data scientists, and engineering teams to deliver tailored technical solutions.
- Performance & Cost Optimization: Continuously tuned platform performance and resource utilization for cost-effective operations.
- Cloud-Native Expertise: Delivered infrastructure solutions using AWS Bedrock, Amazon Q, SageMaker, ECS/EKS, with deep experience in NVIDIA DGX environments.
Technical Lead
Verizon India Data Services
2013.11 - 2019.11
- Led cloud infrastructure design and implementation for critical projects.
- Delivered cost-effective AWS and DevOps solutions using Jenkins, Ansible, Git, and core AWS services (EC2, S3, VPC, IAM).
- Managed end-to-end cloud product lifecycle including CI/CD pipelines, release management, and infrastructure automation.
- Oversaw team performance, skill development, conflict resolution, and career growth across multiple projects.
- Conducted interviews, technical reviews, and advanced training programs to uplift team capabilities.
- Collaborated with cross-functional teams and vendors to resolve technical issues and ensure smooth delivery.
- Designed and maintained middleware infrastructure (WebSphere MQ, IBM Httpd, Apache) across environments.
- Implemented project plans within budget and timelines, while mitigating risks and optimizing resources.
- Ensured compliance, documentation, and operational supportability of all cloud and middleware solutions.
Specialist - WebSphere Administrator
Wipro
Chennai
2010.08 - 2013.11
- Administered and configured WebSphere Application Server and IBM HTTP Server across multiple environments.
- Managed end-to-end ticket lifecycle, ensuring timely resolution and high-quality responses.
- Handled OS-level issues on HP Unix servers and coordinated with network teams for DNS, ports, and connectivity.
- Built and secured WAS sites for new applications, including SSL configuration and change control handling.
- Resolved backup failures, performed BMR recovery, and scripted automation to reduce recurring tickets.
- Conducted customer sessions to educate on WAS/App issues and improve service transparency.
- Led application migrations, site decommissions and monitored server/URL health.
- Deployed and managed EAR/WAR files, federated nodes, and configured WebSphere resources (JDBC, clusters).
- Ensured infrastructure compliance, documentation accuracy, and component supportability.
- [Client: Ford technologies India]
Middleware Administrator
Ness technologies
Bangalore
2006.08 - 2010.08
- Managed 24x6 WebSphere Application Server environments across Production, UAT, and Development.
- Performed daily administration, maintenance, and deployment of applications (EAR/WAR) on WAS and ND Manager.
- Installed and configured IBM HTTP Server with plug-in generation and SSL security setup.
- Federated nodes, created clusters, and configured WebSphere resources including JDBC and connection pooling.
- Delivered consistent service aligned with SLAs, including monitoring, troubleshooting, and log analysis.
- Handled system management tasks, OS crash recovery (BMR), and root cause analysis.
- Created and maintained documentation for known issues, processes, and support components.
- Conducted requirement analysis and contributed to high-level process design.
- Ensured infrastructure components were up-to-date, supported, and properly inventoried.
- Enabled secure, scalable environments through proactive support and continuous improvement.
Education
BE – Bachelor of Engineering -
AIT Chickamagalur, Visvesvaraya Technological University
Skills
- Cloud & Infrastructure Engineering
- Cloud Architecture & Design (AWS, NVIDIA DGX, GPU-based AI platforms)
- AWS Services: EC2, S3, VPC, IAM, EBS, Bedrock, SageMaker, Amazon Q
- Infrastructure as Code (IaC): Terraform, CloudFormation
- Kubernetes (EKS), Docker, Container Orchestration
- CI/CD Pipelines: Jenkins, Git, Ansible
- DevOps Automation & Monitoring (New Relic, Wily, custom scripts)
- AI & ML Platforms
- Generative AI Infrastructure (BioNeMo, AlphaFold, ProtGPT, NVIDIA Clara)
- ML/Ops Enablement (Run:AI on Kubernetes)
- RAG-based AI Automation for Cloud Engineering
- Middleware & Application Servers
- WebSphere Application Server (WAS), IBM HTTP Server
- Middleware Administration: MQ, WebSphere, Apache
- SSL Configuration, Node Federation, Cluster Management
- EAR/WAR Deployment, JDBC Configuration
- System & Network Administration
- HP Unix OS Support & Troubleshooting
- BMR Recovery, Backup Management
- DNS, Network Port Coordination
- Project & Team Management
- Agile/Scrum Practices: Backlog Management, Sprint Planning
- Team Leadership: Performance, Mentoring, Conflict Resolution
- Interviewing, Technical Reviews, Training & Skill Development
- Project Delivery: Planning, Risk Mitigation, Budget Management
- Security & Compliance
- Multi-cloud Security Architecture
- Compliance with Pharma Data Standards
- Change & Release Management, Audit Readiness
- Documentation & Governance
- Design Specification & Architectural Standards
- Knowledge Base Creation for Known Issues & Processes
- Platform Governance & Use-case Onboarding
- Customer & Stakeholder Engagement
- Technical Collaboration with Biomedical Researchers & Data Scientists
- Customer Enablement & Education
- Cross-functional Issue Resolution & Vendor Coordination
Accomplishments
- Star and Galaxy Awards for key solutions and deliveries - Novartis
- Award from LOB for active collaboration with the development / performance testing for the year end major release of OLB application on analyzing the dumps & performance tuning part – Verizon.
- Platinum Award from stake holders for leading the decommission part in datacenter consolidation program – Ford Motor Company.
- Gold Award for reducing the repeated incidents and work requests, where we documented the troubleshooting steps for repeated alerts and Work requests and trained the L1 team – Ford Motor Company.
Technical Skill Set
- Category: Technologies / Tools / Concepts
- Cloud Technologies (AWS): EC2, ELB, RDS, Route53, VPC, Direct Connect, Lambda, CloudFormation, IAM, S3, DynamoDB, Kinesis, SNS, SQS, SES, KMS, WorkSpaces, ECS, ECR, CloudWatch, SCP, AWS Organizations, EFS, AWS Bedrock, Amazon Q, SageMaker
- Programming / Scripting: Python, Shell, Groovy, AWS CLI, YAML, JSON
- Databases: MySQL, PostgreSQL, RDS, DynamoDB, Oracle, SQL Server
- Monitoring & Observability: Nagios, Splunk, Datadog, CloudHealth, CA Wily, New Relic, AWS CloudWatch
- DevOps & Automation: Jenkins, Docker, Git, SVN, Ansible, Terraform, Run:AI, Jira, Confluence, GitHub Actions, CI/CD Pipelines
- Development Methodologies: Agile, SCRUM, Kanban, Sprint Planning, Backlog Grooming, Release Management
- Operating Systems: Linux (RHEL, Ubuntu, CentOS, Suse), Windows Server, HP-UX
- Middleware & Integration: WebSphere Application Server (WAS), WebSphere MQ, IBM HTTP Server, Apache, Tomcat with Spring Boot, RabbitMQ, Apache Kafka, Datapower, WXS (WebSphere eXtreme Scale)
- AI & ML Infrastructure: NVIDIA DGX, BioNeMo, AlphaFold, ESMFold, ProtGPT, NVIDIA Clara, ML/Ops on Kubernetes (EKS), RAG-based AI Automation
- Containerization & Orchestration: Docker, Kubernetes (EKS), Helm, ECS, ECR
Timeline
Associate Director - Cloud Platform Engineering AWS
Novartis Healthcare Private Limited
2019.11 - 2026.02
Technical Lead
Verizon India Data Services
2013.11 - 2019.11
Specialist - WebSphere Administrator
Wipro
2010.08 - 2013.11
Middleware Administrator
Ness technologies
2006.08 - 2010.08
BE – Bachelor of Engineering -
AIT Chickamagalur, Visvesvaraya Technological University