Cloud Engineer Devops

Name: Pachha Jyothsna

Phone: +1-475-***-****

Emai: *************@*****.***

SUMMARY: I have 6+ years of experience as a Cloud DevOps Engineer who's great at managing and automating stuff in the cloud, especially in Azure and AWS. I'm good at creating and caring for things like Azure Key Vaults, Active Directory, and Virtual Networks. I'm also skilled in using tools like Terraform and AWS CloudFormation to make things happen automatically. I know how to keep secrets safe with tools like Hashi Corp Vault and Consul, and I can set up security for Azure Storage. I'm handy with scripting, using Python for AWS, and making scripts in Python, PowerShell, and Bash to do tasks automatically. I've created special setups with Ansible for IIS and SQL Server. When it comes to making things run smoothly, I've set up Jenkins pipelines to make building and deploying software easier. I'm good with Git, which helps keep track of code changes. I'm also a pro at using Docker for packaging and deploying applications. I'm skilled in handling security, using Azure controls and Splunk for monitoring and analysis. I've even worked with tools like SonarQube to ensure secure code. I'm big on Infrastructure as Code (IaC), especially using Terraform and Puppet to manage how things are set up. I'm also good at teamwork, and I've helped teams work together better using tools like JIRA and Git. Lastly, I know my way around Linux systems, including web servers like Apache, and how to offer support when things go wrong.

EDUCATION:

MSC Computer Science, University of Bridgeport - 2021-2023

TECHNICAL SKILLS:

Core Technical Skills: Azure, Amazon Web Services (AWS)

Containerization: Docker, Kubernetes, Docker Compose, AWS ECS

Configuration Management: Ansible Playbook

CI/CD Tools: Jenkins, Terraform, GitLab, Bamboo

Repository: Nexus, JFrog

Version Control Tools: Git, SVN, GitHub, GitLab, Bitbucket

Operating Systems: MS Windows (Server 2003, 2008, 2012R2, 2016, 2019) and Linux (Ubuntu)

Web Servers: Apache Tomcat and Nginx

Database Tools: SQL, DynamoDB, AWS Redshift, RDS, Oracle 12c

Scripting Languages: Python, Shell scripting, PowerShell

Ticketing Tools: ServiceNow, JIRA

Monitoring: Prometheus and Grafana, Nagios, ELK stack

Programming Languages: Java, Python, C++, C

PROFESSIONAL EXPERIENCE:

USAA June 2023 – Present

AWS/DevOps Engineer

RESPONSIBILITIES:

Responsible for the AWS platform and its dimensions of scalability including VPC, EC2, ELB, S3, and EBS, ROUTE 53.

Involved in cloud automation using AWS Cloud Formation Templates, Chef and Puppet.

Skilled in Infrastructure Development and Operations involving AWS Cloud platforms, EC2, EBS, S3, VPC, RDS, SES, ELB, Auto scaling, Cloud Front, Cloud Formation, Elastic Cache, Cloud Watch, SNS.

Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation.

Migrating servers, databases, and applications to AWS and Google Cloud Platform.

Used Route 53 to route traffic between different regions.

Extensive hands-on experience with Spring Boot, utilizing its features for building scalable and resilient applications.

Strong knowledge of Java programming language, including object-oriented design principles and best practices.

Proficient in utilizing GIT and GitHub for version control, collaboration, and continuous integration.

Implemented and maintained CI/CD pipelines using Jenkins or another similar tool, integrating with Spring Boot applications for automated builds, tests, and deployments.

Proficient in using Docker for containerization, allowing for easy deployment and scaling of applications.

Good knowledge in architecting and deploying of fault-tolerant, cost-effective, highly available, and secure servers in AWS.

Utilized Elastic Load Balancers with EC2 auto-scaling groups.

Used Identify and Access Management (IAM) to assign roles to create and manage AWS users and groups and use permissions to AWS resources.

Worked with Ansible Playbooks, modules, and roles.

I wrote and maintained various Ansible modules for the upstream Ansible repository.

Used Ansible server and workstation to manage and configure nodes.

Automated AWS infrastructure via Ansible and Jenkins - software and services configuration using Ansible

Involved in migrating applications to AWS EC2 and S3.

Implemented and Configured AppDynamics APM tool for various .Net, Java, IOS, Android applications.

Expertise in AppDynamics Controller administrative activities like user management, application management, monitoring controller performance etc.

Setup CI/CD pipelines with GitHub and Jenkins

Implemented and maintained complete continuous integration and continuous deployment (CI/CD) pipeline by using Jenkins. Monitored the Jenkins server for the upgrades and new plugin installations required to run the CI/CD jobs.

Good understanding of Open shift platform in managing Docker containers and Kubernetes Clusters.

Configured Apache Web server in the Linux AWS cloud environment using CHEF automation.

Exposure in Elastic Cloud Computing (EC2) instances utilizing auto scaling, Elastic Load Balancing, and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and CHEF.

Involved in creating Snapshots and Amazon Machine Images (AMI’s) of EC2 Instance for snapshots and creating clone's instances.

Involved in chef-infra maintenance including backup/security fix on Chef Server.

Managed On-site Operating Systems/Apps/ Packages /Services using Chef as well as AWS for EC2/S3/Route53 & ELB with Chef Cookbooks.

Use build tools to aggregate projects using Apache, Ant, Maven, Groovy tools, and Gradle.

Involved in Creating test branches from master branch of each repository on GIT to perform testing of Gradle upgrade to LSR and then assisted DEV teams to do the same successfully.

Utilize Artifactory to store state files and Bitbucket to manage the Terraform code base. The Chef Code base is maintained by the neighborhood supermarket, and Chef is used to control server configurations and application deployments.

Good understanding in Pipelined Application Logs from App Servers to Elastic Search (ELK Stack) through Log stash.

Worked on Built new headless framework for system agent and different agent plug-in. Used Gradle and Jenkins to trigger build process.

Involved in Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Subversion (SVN) and GIT source control.

Used GIT to keep track of all changes in source code.

Worked on integrating application logs with Splunk and wrote several custom Splunk queries for monitoring and alerting.

Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services.

Created Docker images using a Docker file, worked on Docker container snapshots, removed images and managed Docker volumes.

Implemented Continuous Integration using Jenkins and GIT.

Worked on Docker/Kubernetes Containerization of cloud-based applications.

Used Branching, Merging, Tagging, and maintaining the version across the environment using SCM tools like GIT and Subversion (SVN) on Linux platforms.

I have good knowledge of Bash, Perl, Python, and Ruby scripting on Linux.

Experience in deploying system stacks for different environments like Dev, UAT, and Prod in both on-premises and cloud infrastructure.

Built and maintained Elastic Search Log stashes, Kibana stack to centrally collect logs that are used to monitor applications

Good skills in NoSQL databases Cassandra and MongoDB.

Monitored Disk Space, CPU Usage, Memory Usage, and Java app monitoring using Zabbix.

ENVIRONMENT: SVN, Clear Case, Maven, ANT, Gradle, Jenkins, GIT, Chef, Web Sphere, Jira, JBoss Application Servers, Apache Tomcat, ELK, Agile/Scrum, SDLC, Windows, Docker, Nginx, Bitbucket, Nagios, AWS EC-2, Artifactory, Route 53, S3, CI/CD, VPC, EMR, SQS, Auto scaling, ELB, Shell Scripts, Unix/ Linux environment.

Nokia, India Sep 2021- May 2023

DevOps Engineer

RESPONSIBILITIES:

Working as a DevOps Engineer for a team that involves three different developments teams and multiple simultaneous software releases.

Developed and worked on a CI/CD pipeline that supports the deployment of applications using the tools Jenkins, Artifactory, Chef, Terraform, and CloudFormation.

Used Chef to manage Web Applications, Config Files, Database, Commands, Users, Mount Points, and Packages.

Using Packer, Terraform, and Ansible, migrate legacy and monolithic systems to Amazon Web Services.

Developed Chef recipes to configure, deploy, and maintain software components of the existing infrastructure.

Implemented Chef best practices and introduced Berk Shelf and Test Kitchen to facilitate a more natural cookbook development workflow using Food Critic.

Implemented and managed continuous integration and continuous deployment (CI/CD) pipelines using GitLab CI/CD.

Developed infrastructure-as-code (IaC) using GitLab Infrastructure as Code (IaC) templates.

Worked closely with development teams to streamline software development processes and improve release cycles using GitLab.

Configured and maintained GitLab instances, including installation, upgrades, and performance optimization.

Collaborated with cross-functional teams to ensure seamless integration of GitLab with other tools, such as Jira, Jenkins, and Docker.

Proposed industry best branching strategies and created branches to implement parallel development in a fast fast-paced agile environment.

Planned and executed the migration from Bugzilla-based bug-tracking into the Atlassian-based suite (JIRA, Confluence).

Experience with migration to Amazon web Services AWS from Datacenter.

Worked with Kubernetes and Docker on a variety of cloud platforms, helping developers create and containerize their apps (CI/CD), and then deploy those applications on either a public cloud or a private cloud.

Assigned Roles and Policies to Users and security Groups by using the Identity and Access Management (IAM) service in AWS.

Experience in Infrastructure Development and Operations, involved in designing and deploying utilizing almost all the AWS stack like EC2, EBS, S3, VPC, RDS, SES, ELB, Auto-scaling, Cloud-Front, Cloud-Formation, Elastic-Cache, Cloud-Watch, SNS, Route 53. Automate provisioning and maintaining the large number of servers on AWS instances.

Configuring and Networking of Virtual Private Cloud (VPC). Written Cloud-Formation templates and deployed AWS resources for dev, test, staging, and production.

Provide high durability of the available data using data storage in the AWS S3 bucket, versioning S3, and lifecycle policies. Also, webhosting the data from the S3 bucket by creating a URL.

AWS VPC is one of the most used SDN implementations and can be configured by Terraform.

Environment provisioning solutions using Docker.

The development team successfully managed source code versions and performed mergers between work streams and branches using Bitbucket.

Implemented a Continuous Delivery pipeline with Docker, Jenkins GitHub, and AWS AMIs, whenever a new GitHub branch gets started, Jenkins, our Continuous Integration server, automatically attempts to build a new Docker container from it, The Docker container leverages Linux containers and has the AMI baked in.

Converted our staging and Production environment from a handful AMI's to a single bare metal host running Docker.

Evaluated Mesos/Marathon and Kubernetes for Docker container orchestration.

ENVIRONMENT: Jenkins, Kubernetes, Bamboo, Ansible, Bitbucket, CHEF, AWS, Docker, CI/CD, SVN, GIT, Shell, Python, Restful API, Scrum, VMware, DynamoDB, RedShift, Terraform, Tomcat, Shell, Perl, Linux, Windows, Nexus, Splunk, Nagios, Nginx.

Netxcell LTD, India Aug 2018- Sep 2021

DevOps Engineer

Project Description: The DevOps Engineer at mas will play a pivotal role in driving the organization's digital transformation and enhancing its infrastructure to streamline operations, improve efficiency, and ensure seamless delivery of insurance services. This project aims to leverage modern DevOps practices and technologies to create a more agile, automated, and resilient environment.

RESPONSIBILITIES:

Utilized Python and Shell Scripting to automate routine tasks, increasing operational efficiency.

Managed AWS resources, including EC2 instances, Lambda functions, ELB configurations, and S3 bucket maintenance.

Administered RDS and PostgreSQL databases, ensuring data integrity, backups, and availability.

Developed and maintained DynamoDB tables and VPC configurations to support scalable and secure applications.

Implemented IAM policies and permissions to control access to AWS resources and enhance security.

Utilized Puppet for configuration management, ensuring consistent server configurations across the environment. Managed source code repositories using Bitbucket, enabling version control and collaboration among development teams.

Worked with OpenStack to provision and manage virtual machines and network resources.

Containerized applications with Docker and orchestrated them in Kubernetes clusters for scalability and flexibility. Created and maintained CloudFormation templates for infrastructure as code, simplifying resource provisioning and management.

Administered Linux servers, performing system maintenance, updates, and troubleshooting.

Automated build and deployment pipelines using Jenkins and Maven for continuous integration and delivery. Managed and optimized artifact storage and distribution using Artifactory in AWS, ensuring efficient and secure artifact management for the DevOps pipeline.

Configured and maintained WebLogic servers to support Java-based applications.

Set up monitoring and alerting with Prometheus to ensure the availability and performance of applications.

Collaborated with cross-functional teams using JIRA and Agile methodologies to manage project tasks and ensure efficient project execution.

ENVIRONMENT: Python, Shell Scripting, AWS, Dynamo DB, Puppet, PostgreSQL, Bitbucket, OpenStack, Docker, Kubernetes, Cloud formation, Linux, Jenkins, Maven, WebLogic, Prometheus, Eclipse, JIRA, Agile.

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