Resume

Configuration Management Software

Location:

Plymouth, MN

Posted:

December 24, 2023

Contact this candidate

Resume:

Suma Latha

Email id: ad17ag@r.postjobfree.com

Mobile No: 763-***-****

https://www.linkedin.com/in/suma-latha-68826b135/

A Total 11 years of Industrial working experience which includes DevOps on Software Configuration Management & Build, Release, Deployment and cloud (AWS) environment. Proven track record of successfully delivering cloud projects on time and within budget, while ensuring alignment with business objectives. Passionate about innovation, continuous learning and committed to staying abreast of emerging cloud trends and best practices. Exceptional communicator and collaborator, with a strong ability to work cross-functionally. Proactively identifying areas for improvement in the team and building up the spaces.

PROFESSIONAL SUMMARY

Experience with AWS Cloud services like EC2, VPC, ELB, Auto-Scaling, Security Groups, Route53, IAM, EBS, AMI, EFS, RDS, S3, SNS, SES, Cloud Watch, CloudFormation, CloudFront, CloudTrail, Lambda.

Good working knowledge on Amazon AWS IAM service: IAM Policies, Roles, Users, Groups, AWS Access keys.

Experienced in all phases of the software development life-cycle (SDLC) with specific focus on the build and release of quality software. Experienced in Waterfall, Agile/Scrum, Lean and most recently Continuous Integration (CI) and Continuous Deployment (CD) practices.

Experience in Installation, configuration, tuning, security, backup, recovery, and Operating System upgrade on Red Hat Linux (RHEL 5, 6), Unix, Centos and Ubuntu.

Experience in implementation of Python web frameworks like Django, Flask, Pylons, Web2py and Python Servlet Engine(PSE).

Experienced in working with various Python Integrated Development Environments like IDLE, PyCharm and Sublime Text.

In-depth understanding of the principles and best practices of Software Configuration Management (SCM).

Expertise in migrating key systems from on premise hosting to Amazon Web Services (AWS).

Setting up private networks and sub-networks using virtual private cloud (VPC) and creating security groups to associate with the networks and setting up scalability for application servers using command line interface.

Configured and managed AWS Glacier to move old data to archives, based on retention policy of database/applications.

Experience in Python and Shell scripting to automate infrastructure related manual tasks.

Written and implemented the Cloud Formation Templates (CFT's) for creating, updating and deleting the stacks on AWS.

Automated infrastructure provisioning on AWS using Terraform and Ansible, Experience in installing and configuring the Ansible management node to deploy configuration to the end user nodes and Writing Ansible playbooks to deploy configuration to the production’s servers.

Worked in container-based technologies like Docker, Kubernetes, Container management using Docker by writing Docker files and setting up the automated build on Docker HUB, installed and configured Kubernetes.

Hands-on with Kubernetes cluster management and administration, creating pods and managing them by updating resources depending on the requirement.

Extensively worked on Jenkins/Hudson by installing, configuring and maintaining for the purpose of continuous integration (CI) and for End-to-End automation for all build and deployments. Good Experience in Continuous integration using the Pipeline view.

Experience in writing Bash Shell Scripts to automate the administrative tasks and management using Cron Jobs.

Knowledge of using Routed Protocols: FTP, SFTP, SSH, HTTP, HTTPS and Coordinated with the Offshore and Onshore teams for Production Releases.

Excellent knowledge on Python Collections and Multi-Threading.

Experience in working on various python packages such as Numpy, SQLAlchemy, matplotlib,

Hands on experience in upgrading servers using RPM, Apt-get and Yum package installer.

Extensive experience using MAVEN and ANT as build tools for the building of deployable artifacts (jar, war & ear) from source code in Tomcat Server.

Good knowledge in checking the code quality using the SONARQUBE and generated code coverage metrics.

Good Knowledge using the backup repository Nexus.

Performance testing for complex systems. Build, Release and environment planning, designing, implementation for projects across different technologies.

Experience in AWS like Amazon EC2, Amazon S3, Amazon Redshift, Amazon EMR and Amazon SQS.

Excellent experience with Python development under Linux OS and Mac OS.

Troubleshoot the application related issues in production & non-production environments.

Worked with Engineers, QA and other teams to ensure automated test efforts are tightly integrated with the build system and in fixing the error while doing the deployment and building.

Experience in using bug tracking systems like Jira, Bugzilla, for hotfixes and bugfixes.

Experience in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like Subversion (SVN), GIT (GitHub, GitLab). Deployed and configured GIT repositories with branching, forks, tagging, merge requests, and notifications.

Wrote custom monitoring and integrated monitoring methods into deployment processes to develop self-healing solutions and configuring alerts using Splunk, Cloud Watch.

Comprehensive problem-solving capability and good at communication skills, Quick Learner, fast paced, hard worker and a consistent team player, High flexibility to adapt any changing environment quickly and eager to learn new things, Presentations and Communication to all sorts of audience, one to one or group.

ACADEMIC PROFILE

Master of Computer Applications in Andhra University 2006-2009

Bachelor of Computer Applications in Acharya Nagarjuna University 2002-2005

TECHNICAL SKILLS

Operating systems

Windows, Linux (Red Hat 5/6), Ubuntu, CentOS

Build Tools

MAVEN, Gradle and ANT

Application server

Apache Tomcat

Cloud Platforms

AWS, Azure, Google Cloud

Software Development Methodologies

SDLC, Agile/Scrum, Waterfall

Issue Tracking Tools

JIRA, Service-Now, Bug Zilla, Confluence

Version Control

Bitbucket, GitHub, SVN, GIT, GitLab

Configuration Management

Ansible

Continuous Integration

Jenkins

Containerization and Orchestration

Docker, Kubernetes

Infrastructure spin up tools

Terraform, CloudFormation

Logging & Monitoring Tools

Cloud watch, Splunk, ELK, SolarWinds

Package Management

Nexus Artifactory, JFrog

Code Quality

SonarQube

PROJECT/WORK EXPERIENCE

Client: Sherwin-Williams

Alpharetta, GA

Role: Sr. lead DevOps Infra Engineer/Principal Cloud developer

Duration: June 2023 – Present

Responsibilities:

Hands on Experience on Designing, deploying, and maintaining the application servers on AWS infrastructure, using services like EC2, S3, VPC, SNS, LAMBDA, AWSGLUE, Batch, AWS Connect, WAF, IAM, RDS, EKS, ECS, CloudFormation, AWS API, Redshift, DynamoDB, Aurora, Route53, and HashiCorp, terraform, json and Troposphere. worked very exclusively in an AWS environment, over 8 years of experience

Hands on Worked on Configured S3 bucket policies to manage data and maintaining the data backups and archives using glacier.

I been very infrastructure-focused entire career, with extensive experience on building out and managing CI/CD pipelines

Hands on Experience in DevOps tasks and CI/CD for cloud-based environments and in particular AWS

Experience on build, design, and implementation in AWS API

Hands on experience on Developing AWS Lambda functions

Hands on experience in terraform IAC building and provisioning infra services using AWS cloud.

Hands on experience Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages.

Great Hands-on experience with Infrastructure as Code, utilizing Hashicorp Terraform in order to create a more efficient cloud migration

Experience on HashiCorp Vault.

Experience building and maintaining CI/CD infrastructure with tools like GitHub Actions, Jenkins, Argo CD

Good experience on python module like, regex, OS, parsearg, time and other modules.

Experience on Configured and Managed CI\CD Pipeline using GitLab and using Terraform modules for template creation

Hands on experience on Terraform to provision AWS Infrastructure

Hands on experience Worked on Writing python scripts for S3 buckets copy, installing packages and create ec2 instance.

Experience on provisioning tools Terraform, and Packer.

Hands on Experience in AWS cloud heavily works on Aws cloud

Experience with automation and configuration management (Terraform, Ansible, Chef, etc.)

Hands on Experience in managing Ansible Playbooks with Ansible roles, group variables, inventory files, copy and remove files on remote systems using file module.

Experience with Ansible Tower to manage Multiple Nodes and Manage Inventory for different Environments

Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.

Hands on Experience on Migrating on-premises Java applications to AWS Cloud

on Assist team members writing Splunk queries according to best practice. We use beginning to use Terraform for our infrastructure and plan to use Splunk for unified logging - aggregation/correlation.

Hands on Experience on Migration like, to migrate applications, create IAM user for AWS Replication Agent and Create the Replication Settings template in the AWS MGN Console, Then Configure the Launch Settings in the AWS MGN console and test the instances.

Hands on Experience on Infra and service monitoring using Splunk, Prometheus, Datadog and Grafana.

Extensively worked on in Cloud Infrastructure Automation for platform like AWS and Terraform and packer.

Hands on Experience on Performed branching, Tagging & Release activities on GitLab, GitHub actions.

Hands on Experience in working with log monitoring Elastic Search Log stash and Kibana Stack (ELK).

Hands on Setup chef configuration environment comprised of chef server and workstation manage nodes that are on cloud and on-premises, by deploying the cookbooks, recipes using knife tool from Chef Workstation to Chef-server.

Client: Cognizant (Mc Donald’s), Bangalore, India

Role: DevOps Lead

Duration: Dec 2021 – May 2023

Responsibilities:

Create & maintain environment & tools to automate build/release activities.

Designed and implemented CI/CD pipelines using Jenkins, including building, testing, and deploying applications, ensuring optimal performance and scalability.

Supported around 250+ AWS Cloud instance and used AWS CLI to manage and configure AWS products. Also, have experience setting up a database by using AWS service and S3 bucket to configure backups of instances to S3 bucket.

Managed AWS EC2 instances utilizing S3 and Glacier for our data archiving and long-term backup and UAT environments as well as infrastructure servers for GIT.

Have worked with solutions architect to modify the AWS architecture so as to include cloud formation along with auto scaling so that it works as failover.

Created EC2 instance on AWS, managed security groups, administered Amazon VPCs. Configured security groups at an instance level and Network ACLs at subnet level in VPC.

Maintaining an in-house ticketing system using a Python/Django backend with a Django REST Framework based API, using Angular.js for the web frontend.

Utilized CloudWatch to monitor resources such as EC2, CPU memory, Amazon RDS, EBS volumes; To set alarms for notification or automated actions and to monitor logs for a better understanding and operation of the system.

Developed and maintained Jenkins automation scripts using Groovy, to automate build and deployment processes, and reduce deployment time.

Wrote Python code embedded with JSON and XML to produce HTTP GET request, parsing HTML data from websites.

Written the Ansible playbooks which are the entry point for Ansible provisioning. Where the automation is defined through tasks using YAML format to setup continuous Delivery pipeline and ran Ansible Scripts to provision Dev servers

Written Ansible playbooks for automating tasks and managed Ansible to configure Web Apps and deploy them on server

Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.

Integrated Jenkins with other DevOps tools, such as Git, Docker, or Kubernetes, to build hybrid and multi-cloud infrastructures.

Designed and implemented Jenkins-based solutions, including Jenkins Shared Libraries, Jenkins Agents, and Jenkins Workflow, to automate complex tasks and workflows.

Performing both manual and automation builds using Maven and Jenkins.

Involved in the release process and deployed applications (WAR, EAR and JAR) to the Tomcat.

Notify Broken builds to appropriate Team / Team Members and enable for successful build.

Configured and deployed applications in various work environments like Development, Test, and Production.

Good understanding of Amazon Web Services (AWS), Creating EC2 Instances, S3, Auto scaling, ELB and configuring all necessary services

Strong knowledge of Python Web Frameworks such as Django and Flask.

Monitoring daily builds using continuous integration tool Jenkins.

Responsible for Maintaining / Administration of GIT Version control tool. Create branches in GIT & provide access permissions to developers on need basis

Application/Web Server Log files analysis to troubleshoot application problems on application and web server side.

Assisting development team in resolving issues with build, environment, SCM and tools.

Configuring the Docker containers and creating Docker files for different environments.

Creating container and deploying it to production server

Working closely with development team to identify and resolve build or deployment problems and support.

Troubleshooting of Performance and Stability Issues, Support software environments, build, release, deployment and operational issues.

Client: Virtusa (Cloud Management Services), Bangalore, India

Role: Sr. DevOps Engineer

Duration: Apr 2020 to Dec 2021

Responsibilities:

Worked with an Agile development team to deliver an end-to-end continuous integration/continuous delivery product in an open-source environment using Jenkins to get the task done

Used the continuous Integration tools such as Jenkins for automating the build processes

Understanding of Maven and Java for easy setting up of CI jobs on Jenkins.

Designed, Installed and Implemented CI/ CD automation system

Created and updated Bash scripts and modules, files, and packages

Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with Shell scripts to automate routine jobs

Configure Continuous Integration from source control, setting up build definition within Visual Studio Team Services (VSTS)

Involved in development of Test environment on Docker containers and configuring the Docker containers using Kubernetes

Analyzed all aspects of server upgrade deployment for 12,500 workstations nationwide to ensure a smooth migration

Design of Cloud architectures for customers looking to migrate or develop new PaaS, IaaS or hybrid solutions

Documented workflows and executed comprehensive training plan to team.

As part of the Infrastructure Team implemented SSO (Single Sign On) and integrated the applications to the Load Balancer

Installed Docker Registry for local upload and download of Docker images and even from Docker hub

Managed Docker orchestration using Docker Swarm

Authored IQ/OQ summaries and assisted in overall project documentation

Setup Jenkins tool to integrate the JAVA project and maintained Jenkins with continuous integration and deployment

Created alarms in CloudWatch service for monitoring the server’s performance, CPU Utilization, disk usage and have insight in the monitoring tool namely Nagios

Built a new CI pipeline Testing and deployment automation with Docker and Jenkins

Used MAVEN as build tools on Java projects for the development of build artifacts on the source code

Configured Nagios to monitor EC2 Linux instances with Ansible automation

Used various services in AWS such as Cloud formation, S3, VPC, IAM.

Involved in Release Management Cycle of various applications.

Involved in planning, deploying and releasing of applications.

Automated previously manual, time-consuming processes to drive grains in data

Created release pipelines using GIT for automatic workflow

Created pipelines in Jenkins includes Continuous integration of tools like Maven, Git, SonarQube, nexus and Continuous deployment using GIT

Proposed branching strategies for using Version Control Systems like GIT, Clear Case, Stash, GitHub & Subversion

Created branches, performed merges in version control systems GIT, GitHub

Good knowledge of Operation Management Technologies - Log Aggregation, Server Monitoring, Process Monitoring, Application Monitoring

Used Kubernetes for container operation and used Kubernetes clusters as a network and load balancer, and chosen Kubernetes is also good at running web applications in a cluster way, also used in multiple services by creating images and reduced space

Automated setting up server infrastructure for the DevOps services, using Ansible, shell and python scripts

Developed Python career path through professional development while working on Python projects

Monitored and secured systems, implemented disaster recovery plans and implemented in-house tools. Docker, Jenkins, GitHub were tools that were used for continuous integration and deployment

Expertise in configuring the monitoring and alerting tools according to the requirement like Prometheus and Grafana, setting up alerts and deployed multiple dashboards for individual applications in Kubernetes

Implemented Slack Notification plugin in Jenkins Using Groovy Scripts

Created Jobs for all the projects in Dev, Qa, Prod environments using Groovy scripts

Client: HCL (T-Mobile Enterprise Delivery Pipeline), Bangalore, India

Role: Sr. DevOps Engineer

Duration: Jul 2018 - Nov 2019

Responsibilities:

Worked with various services of AWS: EC2, ELB, Route53, S3, Cloud Front, SNS, RDS, IAM, Cloud Watch and Cloud Formation, Elastic Beanstalk, Lambda, CloudTrail

Working and fixing issues related to DBA. Working on MongoDB Ops Manager configuration

Experience in building new Open Stack Deployment through Puppet and managing them in production environment

Managing keys by creating the keys and attaching them to library & Variable Groups with the help of Key Vault

Responsible to Manage IAM Policies, providing access to different AWS resources, design and refine the workflows used to grant access

Development using Object-Oriented Python, NumPy, SciPy, IPython, Pandas and in-house libraries, Web interface development, Data management on a terabyte scale

Using Ansible created multiple playbooks for machine creations and SQL server, cluster server and MYSQL installations

Integrated Ansible dynamic inventory for Virtual box, Open stack, Amazon AWS EC2, Docker for full automated deployment in all the environments to support scaling required

Utilized AWS Lambda platform to upload data into AWS S3 buckets and to trigger other Lambda functions

Maintained and developed infrastructure using Ansible, Jenkins, and multiple AWS tools

Used Docker for running different programs on single VM, Docker images includes setting the entry point and volumes, also ran Docker containers and worked on installing Docker and creation of Docker container images, tagging and pushing the images

Worked on Docker registry, Machine, Hub and creating, attaching, networking of Docker containers, container orchestration using Kubernetes for clustering, load balancing, scaling and service discovery using selectors, nodes and pods

Strong ability in procedures to ETL data into a Data Warehouse from a variety of Data sources including flat files and database links (MYSQL & Oracle)

Maintaining Jenkins in various multiple environments by installing packages on Jenkins master and slaves and perform regular security updates for Jenkins

Developed a fully automated continuous integration system using GIT, Jenkins and custom tools developed in Python and Bash

Configured build tool Maven for building deployable artifacts such as jar, war, and ear from source code and Artifactory Repository like Nexus for Maven and ANT builds to upload artifacts using Jenkins

Managed and monitored the server and network infrastructure using Splunk applied blackouts for any outages, pulling reports by providing them to the client

Created Maven POM files for Java projects & then installed the application on AWS EC2 AMI(Linux), RedHat, Ubuntu

Worked on ECS and EKS deployment to an application on a Tomcat server hosted in containers using Terraform to create Infrastructure as Code

Worked on SonarQube for continuous inspection of code quality and to perform automatic reviews of code to detect bugs and Automated Nagios alerts and email notifications using Python script.

Involved in creating Jenkins CI pipelines and automate most of the pipeline build related tasks by deploying and validating the automated builds using pipeline groovy scripts.

Managed AWS EC2 instances utilizing S3 and Glacier for our data archiving and long-term backup and UAT environments as well as infrastructure servers for GIT.

Have worked with solutions architect to modify the AWS architecture so as to include cloud formation along with auto scaling so that it works as failover.

Created EC2 instance on AWS, managed security groups, administered Amazon VPCs. Configured security groups at an instance level and Network ACLs at subnet level in VPC.

Developed and maintained Jenkins automation scripts using Groovy, to automate build and deployment processes, and reduce deployment time.

Used Python and Django for JSON processing, data exchange and business logic implementation.

Worked on Python Open stack API's

Integrated Jenkins with other DevOps tools, such as Git, Docker, or Kubernetes, to build hybrid and multi-cloud infrastructures.

Designed and implemented Jenkins-based solutions, including Jenkins Shared Libraries, Jenkins Agents, and Jenkins Workflow, to automate complex tasks and workflows.

Used several python libraries like wxPython, numPY and matPlotLib.