Lakshmi Middae
Sr. AWS/ Azure DevOps Engineer | Expert in #CI/CD & Automation | #AWS | #Docker | #Kubernetes | #Terraform | #Jenkins | #Ansible | #Linux | #Azure | Agile Methodologies | Seeking Dynamic DevOps Opportunities
- Role
- Senior Devops Engineer at UPS
- Location
- Memphis, TN, US
- LinkedIn followers
- 500 followers
About Lakshmi Middae
Over 8 years of professional experience in the IT industry comprising of Linux…
Experience
Senior Devops Engineer
Oct 2022 — Present · NJ, US
Used Terraform as Infrastructure as a code and Execution plans, Resource Graphs, Change Automation and extensively used Auto-scaling launch configuration templates for launching Amazon EC2 instances while deploying Micro services.• Implemented Terraform modules for deployment of various applications across multiple Cloud providers and managing infrastructure. Built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code.• Build servers using AWS launching and configuring of Amazon EC2 cloud servers using AMIs (Linux/ Ubuntu), Creating security groups, and load balancers in the defined Virtual Private Connection (VPC).• Implemented AWS Lambda functions to run scripts in response to events in Amazon Dynamo DB table or S3 bucket or to HTTP requests using Amazon API gateway.• Developed Java API to interact with Amazon SQS used for sending bulk emails. Also, to connect the AWS S3 services for storing and retrieving data in S3 buckets.• Created and deployed VMs on Microsoft Azure, managed Azure AD, SQL, and Virtual Networks to connect all the servers, and designed ARM (AZURE Resource Manager) templates for the Azure platform.• Worked on Serverless services (Azure Functions) created and configured HTTP Triggers in the Azure Functions with Application Insights for monitoring and performing load testing on the Applications using the VSTS.• Virtualized the server using Docker for test environments and dev-environments needs and configuration automation using Docker containers.• Designed and distributed private cloud system solution using Kubernetes (Docker) on CoreOS and used it to deploy scale, load balance and manage Docker containers with multiple names spaced versions, and worked on Docker Engine, Docker HUB, Docker Images, and Docker Compose for handling images for installations and domain configurations.
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