DevOps Engineer

Mounica Madamanchi

Lead DevOps/Cloud DevOps Engineer

Email id#: ***********@*****.***

Ph#: +1-945-***-****

PROFESSIONAL SUMMARY

Around 10 years of experience in DevOps, Cloud Infrastructure, Continuous Integration and Delivery, Configuration Management, Build, Deploy, Release Management and Quality Assurance.

Experience in branching, tagging and maintaining the version across the environments using

SCM tools like Subversion (SVN), CVS and GIT on UNIX and Windows environment.

Good understanding of the principles and best practices of Software Configuration Management

(SCM) in Agile, Scrum, and Waterfall methodologies.

Excellent understanding of source-code management principles and systems, particularly GIT.

Expertise in designing and building infrastructure on AWS cloud.

In-depth knowledge of computer applications and scripting like Shell &Python.

Implemented Continuous Integration and deployment using various CI Tools like Jenkins,

Git and Azure Repos.

Hands on Experience on Continuous Integration tools like Hudson, Jenkins, TeamCity for end to

end automation of builds and deployments.

Experienced in working on DevOps/Agile operations process and tools (Code Review, Unit Test

Automation, Build and Release Automation, Incident Management and Service Management).

Expertise in build tools like ANT and MAVEN for provisioning build and generate artifacts.

Having good experience in AgroCD to deploy applications on Kubernetes.

Practical working knowledge maintaining PaaS environments, including technologies like

OpenShift and Kubernetes.

Experience in working on Docker components like Docker Engine, Docker Images, Docker

Experience with Splunk Searching and Reporting modules, Knowledge Objects and Administration.

Experience with Linux/Unix environment and Flavors like RedHat (RHEL), Centos, Ubuntu.

Worked with different Bug tracking tools like JIRA, VersionOne and IBM Clear Quest.

Created CI/CD pipeline in Azure DevOps for validation and deployment in Branching strategies.

Expertise in Azure infrastructure, security, DevOps, and automation, ensuring scalable and cost-efficient cloud environments

Experience using cloud providers and APIs for Amazon (AWS) EC2, S3, VPC, SNS, ECS, AMI, IAM with Cloud Front, Cloud watch and GFS storage.

Configured an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Aurora DB cluster and created notifications and alarms for EC2 instances using Cloud Watch.

Working as Devops engineer involved in implementing Devops strategy, Devops development process, continuous integration and delivery, dependency Management and continuous feedback.

Implemented monitoring solutions with Prometheus & Grafana for real-time insights.

strong background in Kubernetes management, including writing and optimizing manifest files for deployments and implementing auto-scaling and manual scaling for pods.

Proficient in orchestrating containerized applications, automating infrastructure, and managing Kubernetes clusters for high availability, scalability, and efficient resource utilization.

Experience in writing Playbooks using Ansible to provision several pre-production environments.

Adopt at collaborating with cross-functional teams to ensure smooth deployment pipelines and reliable infrastructure management.

Hands-on experience setting up, configuring, and maintaining the ELK stack for centralized logging and monitoring in cloud-native environments.

Proficient in designing scalable log aggregation pipelines to collect, parse, and visualize logs from distributed systems and microservices.

Managed Docker containerisation and orchestration using Kubernetes.

Automated zero-downtime deployments for microservices architecture.

TECHNICAL SKILLS:

Cloud Technologies

AWS, Azure

Build Tools

Maven, ANT, MS Build and Golang,

Container Technologies

Docker, Kubernetes

Scripting

Bash, PowerShell, Shell

Version Control System

Git, GitHub Actions, GitLab

Configuration Management

Ansible

Infrastructure as Code

Terraform

Databases

SQL Server, MySQL, MongoDB, Vertica, Snowflake

CI/CD

Jenkins, Azure Repos, AgroCD

Monitoring Tools

Splunk, AppDynamics, Prometheus, CloudWatch, Grafana, ELK

Programming Languages

Java, Python

Operating Systems

Windows, UNIX, LINUX

Web/Application Servers

Tomcat, HTTP Server, WebLogic,

Others

Kafka, Snowflake CLI, REST API

PROFESSIONAL EXPERIENCE:

Employer: Galaxy I Technologies, Pheonix, AZ Jan 2025 – Till Date

Role: Lead DevOps Engineer

Responsibilities:

Expertise in designing, implementing, and managing end-to-end CI/CD pipelines using GitHub Actions.

Assigned RBAC roles to grant access based on least privilege principles, ensuring secure access control.

Utilized Privileged Identity Access Management to create custom roles and enforce strict access policies.

Worked with AWS and its infrastructure including EC2, AMI, ECS, S3, Elastic cache, elastic search, RDS, VPC implementation and WAF, CloudWatch, AWS CLI, Lambda, Route 53, DynamoDB, SNS and Autoscaling.

Created S3 buckets and manage their policies and utilize S3 bucket for storage and backup on AWS.

Maintain Users IAM, Route 53, RDS and SNS notifications in AWS cloud.

Implement a serverless architecture using API gateway, Lambda, DynamoDB and deployed AWS lambda code from amazon S3 buckets.

Created a Lambda deployment functions and configured it to receive the events triggered from the S3 bucket.

Support migration of services between AWS accounts, working closely with cross-functional teams to ensure secure cross-account access, VPC peering, and data migration.

Implemented continuous deployment pipeline with AgroCd Workflow for deploying applications on Kubernetes.

Written templates for AWS IAC using Terraform to build dev and Staging environments and defined Terraform modules such as compute, Network, operations and users to reuse the modules.

Created CloudFormation templates to create and deploy Resources in AWS

Designed and implemented Blue-Green Deployment pipelines using GitHub Actions.

Setup required software installations from scratch on VMs and build pipelines from scratch to deploy applications in Azure.

Designed and implemented Docker files for building lightweight and secure images tailored to application needs.

Configured AppDynamics agents to monitor application performance and integrated Splunk for log aggregation and analysis.

Expert in creating manifest files for stateful objects in Kubernetes to deploy frontend application and updated records in MongoDB table.

Created Secrets and Api deployments manifests for deploying applications in Kubernetes.

Developed Kubernetes manifests defining resource limits, probes, and scaling policies.

Expertise in designing, implementing, and managing end-to-end CI/CD pipelines using GitHub Actions and integrated with snowflake to automate deployments and collaborate with version control tools.

Built REST API’S based on python to interact with all snowflake resources like data object management and tasks.

Created API with Flask framework to develop web-based applications in Python

Extensively worked with Jenkins APIs to know various things like build status, count of build, GIT commit version by using Groovy script.

Familiar with Groovy script for Jenkins pipeline build, deploy on multiple nodes

Wrote Python scripts to push data from MongoDB to MYSQL database.

Automated infrastructure provisioning and management using Docker, Kubernetes, and RedHat 17.1

Utilized JFrog Enterprise Plus for artifact management and GitLab/GitHub for source code management

Implemented Helm charts for installing Prometheus by adding it as repo for monitoring applications.

Utilized CloudWatch to monitor resources like EC2, CPU memory, RDS DB services, Dynamo DB tables, Elastic Block Storage volumes to set alarm notification and to monitor logs.

Environment: Bash, Shell, Azure, Jenkins, Maven, GIT, Azure repos, Docker, Kubernetes, SonarQube, Nginx, Python, Go, Vertica, Snowflake, Windows and LINUX.

Client: CGI, Bangalore, India Aug 2022 – Dec 2024

Role: Senior Cloud Devops Engineer

Responsibilities:

Designed and implemented scalable microservices architectures using Python and Kubernetes for an E-Commerce platform.

Worked with Agile team to deliver end to end continuous integration and continuous delivery product in an open-source environment using Code deploy, code build, code commit, Cloud Formation, Lambda and Jenkins to get the job done.

Building and deploying containerized applications using OpenShift Pipelines.

Deploying, configuring, and maintaining OpenShift clusters.

Collaborated with cross-functional teams to streamline development and deployment processes.

Created EKS cluster from scratch for deploying applications using EKS.

Configured Horizontal Pod Autoscaler (HPA) to dynamically adjust resources based on CPU/memory utilization.

Implemented health checks to ensure applications function correctly and restart failing containers

Troubleshot container health issues, ensuring seamless application deployment with self-healing mechanisms.

Implemented Helm charts for efficient package management and Kubernetes manifest automation

Created VPC using Terraform, including subnets, internet gateway, route tables, security groups, and database setup in one go using Terraform configuration files.

Worked closely with the Development Team in the design phase and developed Use case

diagrams. Used Ant and Maven as build tools on Java projects for the development of build artifacts on the source code.

Continuous Delivery is being enabled through Deployment into several environments of Test, QA, Stage and Production using Jenkins.

Involved in editing the existing Ant/Maven files in case of errors or changes in the project

requirements.

Used file module in Ansible playbook to copy and remove files on remote servers

Used Ansible Playbooks to setup Continuous Delivery Pipeline. Deployed micro services, including provisioning AWS environments using Ansible Playbooks.

Created stateful objects in Kubernetes for creating backend API and MongoDB for updating records in database from frontend application.

Configured Ant and Maven POMs to automate the build process for the new projects and

integrated them with third party tools like Sonar and Nexus.

Configured Jenkins daily periodic backups for Jenkins Config and plugins files and Integrated

Jenkins Build pipeline plugin for managing multi project jobs efficiently.

Design and Integrated Security scans Checkmarks, SonarQube, Nexus Policy, Qualys.

Developed python script to automate creation of Jira ticket when there is issue in GitHub repository related to Jira using Api token.

Integrated Nexus with application CICD builds pipeline to upload artifacts into Nexus artifactory

after successful build. This will reduce number of builds.

Developed a serverless API using Node.js and AWS API Gateway for one of the microservices.

Used AWS Lambda for backend logic, reducing infrastructure costs.

Implemented AWS WAF for web applications to safeguard from threats, damage and unauthorised authentication.

Wrote Python scripts to push data from MongoDB to MYSQL database.

Developed automation of AWS services using Boto3 python module like creating AMI of an instances, running scripts on servers, creating buckets and uploading files.

Implemented End to End Gen AI Project on AWS Using AWS Bedrock and AWS Lambda.

Created Lambda functions for cost optimisation, security and compliance and day to day activities.

Experience in collecting Kubernetes metrics using Prometheus and send to Elastic search.

Worked on configuring the ELK stack and used it for analysing the logs from applications.

Environment: CI/CD, Bash, Shell, Maven, GIT, Docker, Kubernetes, Terraform, Boto3, SonarQube, Nginx, Windows, ELK stack and LINUX.

Employer: Accenture

Client: Bank-ALBILAD, Bangalore, India Jul 2021-Aug2022

Role: Senior Application development engineer

Responsibilities:

Worked with development and QA teams to continuously integrate software development using GIT and Jenkins.

Responsible for the Plugin Management, User Management, Build/Deploy Pipeline Setup and End-End Job Setup of all the projects.

Developed DEV/TEST/UAT environments of different applications on AWS by provisioning Kubernetes on EC2 instances using Docker and Terraform.

Experience in creating snapshots and Amazon Machine Images of tech instances for taking backup.

Good experience in creating system log files for errors and setting up CRON jobs for backup and monitoring purposes.

Participated in the release cycle of the product, which involved environments like Development

QA UAT and Production.

Regular Build jobs are initiated using the Continuous Integration tool with Jenkins.

Monitored available disk space and other resources using bash scripts

Configured Jenkins for doing the build in all the non-production and production environments.

Automated the Build & Deployment environment end -to-end using Gitlab CI.

Installed Ansible Tower and wrote playbooks created roles to rollout configurations to different Environments.

Experience working on Docker hub, creating docker images and tag images and pushing images.

Work with development team to onboard Applications to Devops platform.

Expert with the build tools like MAVEN and ANT.

Developed REST APIS using python, Django, FAST API to handle and process the requests and response for a web application.

Implement error handling with HTTP status codes for response to REST services.

Implement logging using pythons inbuilt logging module.

Configure and create celery instance and heartbeats using Django celery Beat module for tasking purposes between application and RabbitMQ.

Worked on to setup for the various Devops CI/CD pipeline configurations

Designed CI/CD Pipelines to make use of automation and Docker files and Make files for building docker images and validating containers using entry points.

Configuring 'Nginx' for proxy RESTful API calls to micro-services in Docker containers.

Worked on Docker container snapshots, removing images and managing docker volumes and experienced with Docker container service.

Containerize Django python application along with the dependencies using docker

Developed and implemented Kubernetes manifests, helm charts for deployment of microservices into k8s clusters.

Created scripts using Shell, Bash to build object code out of the checked-in modules.

Configured and Extensively used SonarQube to manage source code quality on Jenkins

Setting up the auto deployment process for different applications in different environments and implementing the auto deployment process.

End-to-End migration of applications from on-prem to AWS cloud.

Created Docker images for GO microservice and implemented deployment to run on Kubernetes.

Utilised Ansible and Ansible Tower as configuration management tool to automate repetitive tasks and deploy applications quickly and proactively manage changes.

Ability to write runbooks, support procedures, and support documentation for implementing applications.

Environment: CI/CD, Salesforce Chef, Ansible, Nagios, Bash, Shell, Jenkins, Maven, GIT, Docker, Kubernetes, SonarQube, Nginx, Windows and LINUX.

Employer: HCL

Client: Disney, Bangalore, India Aug 2015– May 2021

Role- Devops Engineer

Responsibilities:

Created Ansible playbooks for different environments for release and converted chef recipe scripts into the Ansible Playbooks.

Implemented Terraform modules for deployment of applications across multiple cloud providers.

Performed regular builds and deployment of the packages for testing in different Environments

(DEV, QA, CERT, UAT and PROD).

Managing the SonarQube for monitoring the performance metrics and reports on the Code quality metrics.

Used Elastic Load balancer to reach resources in VPC private subnet.

Maintained Docker-registry, images, tagging and writing Docker files for creating new images.

Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Followed agile principles and used JIRA for maintenance and ticket handling.

Documented all build and release process related items and support for all the builds and deploy issues encounter during the build process.

Configuration and maintenance of Apache Tomcat and manage Linux and windows servers on AWS EC2 instances.

Automated backup with Bash scripts for daily database backups.

Used JIRA to monitor and track all the defects and changes related to build and release process.

Developed and executed automated and manual test cases to ensure software quality.

Collaborated with development teams to improve testing processes and ensure high-quality releases.Mentored and guided QA teams.

Involved in build and deployment of java based applications on to different environmnets such as UAT, Test, QA and PROD.

Developed and reviewed overall test methodology and strategy, Requirement Traceability Matrix, documenting test plans, test cases, and test scripts.

Maintained user management with bash script.

Performed web services and workflows testing and automated the test suites and test cases.

Designed and deployed CI/CD pipelines, maintaining pipeline health and optimizing workflows for faster delivery and the implementation of continuous automation testing in CI/CD pipelines.

Managed end-to-end activities and certified the application to go-live in the production environment, involving postproduction support covering the entire project lifecycle.

Created notifications,alarms for EC2 hosts using CloudWatch, creating automated build and release environments using CI/CD tools like Jenkins.

Prepared weekly/monthly reports for leadership to address project status.

Used Splunk as logging tool for lower environmnets issues with the specific application source creating events for repetead issues and automating the process flow.

Environment: DevOps, Jenkins, Maven, Docker, Kubernetes, GIT, Bash, Shell, JFrog Artifactorty, Agile, Jira, AWS, Windows and Linux.

EDUCATION:

Bachelor of Science in Computer Science & Engineering in Visvesvaraya Technological University, India

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