Ujwal Jagadeesh

* Designed and deployed an end to end container lifecycle management system using cross-account AWS ECR and ECS with IAM least privilege policies * Designed standardized Azure DevOps CICD pipelines using nested YAML templates, allowing centralized pipeline logic, enforcing consistency across 6 projects. * Implemented AWS WAF across client environments, deploying custom rules and automated updates to block OWASP Top 10 threats, improving application layer security by 80% while maintaining cost-efficiency.

* Built secure CI/CD pipelines with Azure Pipelines to automate Docker image builds and deployments across AWS accounts * Retrofitted existing AWS infrastructure into Terraform modules, standardizing deployments across 3 environments * Contributed to migrating critical applications from a private cloud to AWS * Implemented environment-specific Kustomize overlays for Kubernetes on EKS, simplifying config management and improving rollout consistency across environments.

* Automated AWS CloudWatch alarms using custom metrics and Terraform, eliminating manual setup and enhancing observability across critical cloud infrastructure * Developed a serverless automation using AWS Lambda and Python to rotate IAM access keys, enforcing least-privilege policies, and eliminating 100% of manual credential rotation tasks while ensuring zero downtime. * Organized a leading technical DevOps meetup and managed its digital content and official LinkedIn presence

* Built Terraform modules for multi-tier AWS architecture to automate deployments, cutting deployment time by 70%. * Designed Jenkins CI/CD pipelines integrated with Git for automated builds and staging deployments, reducing deployment time by 50%.

* Optimized and debugged AWS CloudFormation templates, reducing stack errors by 95% and improving infrastructure reliability * Deployed open-source systems like BigBlueButton using AWS and Terraform, enabling scalable infrastructure with reusable IaC * Developed 10+ automation scripts using Bash and Python to perform automated health checks, monitoring CPU, memory, and essential server metrics, enabling the team to address 10+ alerts daily to maintain system stability.