
Experienced Lead Cloud Automation Engineer with 15 years in designing and automating secure, scalable cloud infrastructure. Improved system performance and cost efficiency through automation and best practices. Focused on delivering resilient services across multi-cloud environments (AWS, Azure, OCI) while leading teams and driving enterprise-level transformation.
• Specialize in re-architecting legacy applications and infrastructure to
cloud-native and hybrid models, improving system performance, resilience,
and operational efficiency
• Managed NA Health Windows patching and Linux server decommissioning
activities, ensuring compliance and minimal disruption
• Led Splunk and Cribl log onboarding for centralized observability across
cloud and on-premise workloads
• Drove cloud vulnerability remediation programs, ensuring timely patching
and hardening of EC2 instances and cloud resources
• Automated snapshot backup strategies for critical workloads, ensuring
data protection and disaster recovery readiness
• Provisioned EC2 instances using EEC golden AMIs, enforcing standardized,
security-hardened server builds
• Built and maintained multi-branch Jenkins pipelines for CI/CD across
multiple application teams and environments
• Integrated SonarQube scanning into CI/CD pipelines for automated code
quality and security analysis
• Developed ServiceNow (SNOW) shared libraries for common automation use
cases including change management, incident creation, and CMDB updates
• Drive cost optimization, reliability, and observability by implementing
automated provisioning, monitoring, and compliance controls
• Mentor engineers, review automation designs, and promote an automation-first,
reliability-focused culture while consistently delivering
• Designed reusable automation frameworks for multi-account AWS and
multi-subscription Azure environments
• Implemented cloud governance, security, and cost controls across AWS and Azure platforms
Automation at Scale
Designed reusable automation frameworks for multi-account AWS and multi-subscription Azure environments; built multi-branch Jenkins pipelines and ServiceNow shared libraries to eliminate manual toil
Observability & Log Management
Drove Splunk and Cribl log onboarding for centralized observability; implemented automated monitoring, alerting, and remediation — reducing manual incident intervention by 75%
Cloud Security & Compliance
Managed cloud vulnerability remediation, NA Health Windows patching, and server decommissioning; enforced governance and cost controls across multi-cloud platforms
Cost Optimization
Reduced cloud infrastructure costs by 20-25% through right-sizing, snapshot backup strategies, and golden AMI standardization
Python Automation & AI/ML Integration
Proficient in Python for infrastructure automation, scripting, and building cloud-native tooling; experienced with Amazon Bedrock, LangChain, ReAct Agents, and LangGraph for developing AI/ML-powered DevOps solutions and intelligent automation workflows
Event-Driven Architecture & Serverless
Developed event-driven solutions using AWS Lambda, SQS, Dead Letter Queues(DLQ), and DynamoDB for decoupled, resilient, and scalable workflows
Technical Leadership & Mentorship
Mentor engineers, review automation designs, and promote an automation-first, reliability-focused culture; trained new SREs and led cross-functional DevOps teams across 15 years of experience
Cloud Platforms : AWS, Azure, OCI
AWS Services : EC2, S3, Lambda, SQS, DLQ, DynamoDB, CloudWatch, CloudFormation, IAM, VPC, EBS, Route53, SNS, API Gateway, Step Functions, Bedrock, EventBridge, Secrets Manager, Systems Manager (SSM), CloudTrail, Config, GuardDuty, WAF, ECS, ECR, EKS, CodePipeline, Cost Explorer
AWS AI/ML & Agents : Amazon Bedrock, LangChain, ReAct Agents, LangGraph, Prompt Engineering, RAG
Azure Services : Azure DevOps, Azure VMs, Azure Monitor
IaC & Configuration : Terraform, Ansible, Puppet, Chef, CloudFormation
CI/CD : Jenkins (multi-branch pipelines), TeamCity, SonarQube, Nexus, JFrog Artifactory
Build Tools : Maven, ANT, NANT
Containers & Orchestration: Kubernetes, Docker
Version Control : Git, SVN, PVCS, VSS, RTC
Scripting & Languages : Python, Shell/Bash, PowerShell, SQL
Monitoring & Observability: Splunk, Cribl, Grafana, Kibana, Wily, CloudWatch, Dynatrace
Log Management : Splunk, Cribl, ELK Stack
ITSM & Workflow : ServiceNow (SNOW), JIRA, Control-M
Security & Compliance : SonarQube, Vulnerability Remediation,Golden AMI / EEC Images, Cloud Governance
Operating Systems : Linux (RHEL, CentOS, Ubuntu), Unix, Windows Server
Databases : DynamoDB, SQL Server, Oracle DB
Methodologies : Agile, Scrum (Scrum Master), DevOps, SRE, ITIL