

Lead DevOps Engineer with 10+ years of experience delivering cloud-native infrastructure, DevOps platforms, MLOps solutions, and distributed systems at enterprise scale. Specialized in AWS, Azure, Kubernetes, Infrastructure as Code, CI/CD automation, observability, and Edge AI platforms, with proven success in architecting reliable, scalable, and highly automated engineering ecosystems. Strong background in platform reliability, automation, incident intelligence, and cloud modernization, partnering with global teams to accelerate delivery and operational excellence.
Core Strengths: Cloud & Platform Engineering | DevOps & CI/CD Automation | MLOps & Edge AI Platforms | LLM & GenAI Integration | Kubernetes & Distributed Systems | Infrastructure as Code (IaC) | Observability & Reliability Engineering | Automation & Python Development | Incident Intelligence & AIOps | Cloud-Native Architecture | Platform Modernization.
Cloud & Platform:
AWS, Azure, GCP, VMware Tanzu, Cloud Architecture, Distributed Systems
DevOps & CI/CD:
GitHub Actions, Jenkins, AWS CodeBuild, CodeDeploy, CI/CD Automation
Infrastructure as Code (IaC):
Terraform, CloudFormation, AWS CDK, Chef, Ansible
Containers & Orchestration:
Docker, Kubernetes, AWS ECS, EKS, Container Platforms, Edge Infrastructure
MLOps & Edge AI:
MLOps, Model Deployment, Inference Monitoring, Workflow Orchestration, Edge Computing
Programming & Automation:
Python, Shell, Bash, API Integrations, Automation Frameworks
Observability & Reliability:
Splunk, Grafana, Prometheus, CloudWatch, New Relic, Incident Management
Serverless & Event Streaming:
AWS Lambda, API Gateway, Step Functions, Kinesis, Google Cloud Functions
Databases & Messaging:
PostgreSQL, MySQL, DynamoDB, Kafka, RabbitMQ
Security & Quality Engineering:
SonarQube, Checkmarx, Snyk, Kenna, Vulnerability Management