Suchitra Subramani

AWS DevOps Engineer and Release Manager

Verizon

Irving

08.2022 - 01.2025

Worked with project development teams following Agile & Waterfall methodologies that design source code branching, release life cycles and CI/CD pipelines based on pace and project deliverables.
Created highly available and scalable infrastructure in AWS cloud by using various AWS services like EC2, Virtual Private Cloud (VPC), IAM, S3 Bucket, Lambda, Route53, Glue, CloudWatch, CloudTrail, EBS, EFS, AMI, MFA, ELB, Auto-scaling, Security Groups.
Involved in setting up EC2 instances with appropriate instance types, defining auto scaling policies to scale out or scale in based on metrics such as CPU utilization, network traffic, or custom CloudWatch metrics.
Designed, deployed, and managed highly available and scalable Oracle DB clusters on AWS infrastructure, leveraging EC2, S3, VPC, and other AWS services optimizing the performance and cost-effectiveness of the company's AWS infrastructure.
Utilized AWS CloudWatch to monitor performance metrics, set up alarms, and create dashboards for monitoring and configured logging to capture Tomcat logs and send them to CloudWatch Logs for analysis and troubleshooting.
Utilized CloudFormation to parameterize YAML file to define resources required by the Apache Tomcat and also used AWS CodePipeline and AWS CodeBuild to automate the build, test, and deployment processes for the application code.
Utilized Amazon CloudWatch to monitor key performance metrics such as CPU utilization, disk I/O, and query latency for the Application Server cluster.
Conducted load testing and benchmarking using tools like Apache JMeter to simulate workloads and measure the response times before and after optimization.
Utilized AWS Code Commit to trigger the code pipeline with CloudWatch event, which initiates build and test actions using Code Build where it installs all dependencies using Python's package manager and then save the generated artifacts on S3 bucket.
Utilized CodeDeploy to do deployment on dev, pre-prod and prod environments by leveraging python scripts to automate the build/release process.
Have got hands-on experience in writing deployment scripts that run in CodeBuild and used python package Boto3 to deploy dockerized apps to ECS and also utilized AWS App Runner for running python applications leveraging DB for persistent data storage.
Implemented the GitFlow branching model for managing software releases, by utilizing feature, develop and release branches.
Implemented Jenkinsfile-based pipelines using Groovy DSL, enabling version-controlled pipeline definitions and facilitating collaboration between development and operation teams.
Orchestrated the execution of Ansible playbooks within Jenkins pipelines, enabling the configuration of multi-tier applications and integrated Ansible Vault with Jenkins for secure management of sensitive information and credentials.
Configured Jenkins agents to execute Ansible playbooks on remote hosts for the execution of infrastructure automation tasks.
Implemented infrastructure-as-code principles using Ansible, storing infrastructure configurations in version control systems like GitLab for easy tracking and reproducibility.
Involved in migrating from single node to multi-node Kafka broker configuration.
Integrated Kafka with CI/CD pipelines, automating the deployment of Kafka-related components to pre-prod (E2E) and production environments.
Involved in designing the architecture of migrating multiple applications which were hosted on the On-prem primary servers to DR servers as Docker containers from end to end using multi branch pipelines on Jenkins.
Leveraging technologies such as load balancing, containerization and also setting up the utilities such as Zookeeper, Kafka, Solr and Redis and Apache Tomcat.
Implemented and enforced release management policies, including versioning, branching strategies, and release approval processes.
Strong knowledge in all phases of SDLC to deliver results in the first time right approach.
Also experienced in Test Driven Development (TDD) and Agile Development Strategies.
Managed, Improved, and Monitored cloud infrastructure on AWS, such as EC2, S3, RDS, ECS, Stand-alone EC2, ECR, Route 53, CloudFront, Elastic cache, Lambda, IAM Roles, patches, and autoscaling using Terraform as IaC.
Worked on installation, configuration and management of Docker containers, Docker Images, and Docker registry.
Utilized several Docker best practices to create images from clear, readable maintainable Docker files and those images were uploaded to Docker hub.
Created Lambda Functions for automatic shutdown, auto tagging of AWS resources and auto retire of service accounts.
Created SCP policies, Tag-Controlled policies in AWS at Organization Unit and Account Level.
Configured AWS IAM Groups, Users and role-based access for improved login authentication.
Implemented security best practices in AWS including multi-factor authentication, access key rotation and least privilege first methodology to restrict users access to project related resources using Terraform, Bitbucket and Jenkins to apply changes to the respective policies with the help of a webhook.
Have written Ansible playbooks for patching, updating the Windows and Linux servers and scheduled them using the Jenkins server.

Summary

Overview

Work History

Cloud Support Engineer

AWS DevOps Engineer and Release Manager

Education

Master of Science - Computer Science Engineering

Bachelor of Science - Computer Science Engineering

Skills

Certification

Software

Timeline

Cloud Support Engineer

AWS DevOps Engineer and Release Manager

Master of Science - Computer Science Engineering

Bachelor of Science - Computer Science Engineering

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