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Cloud Services Software Development

Location:
Lewisville, TX
Posted:
November 28, 2023

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Resume:

Sundeep Koti

Email: ad1i9f@r.postjobfree.com

Contact: 214-***-****

Professional Summary:

•Around 8 years of IT experience as DevOps / Cloud Engineer in Software Development Life Cycle (SDLC) core area such as Design, & Deployment of Web based Enterprise Applications using enterprise cloud services like Azure, AWS Cloud OPS Resources, which includes Project Setup, Build Automation, & experience in CI/CD.

•Extensive working experience with broad range of AWS Cloud Services like EC2, Auto Scaling, VPC, Route53, RDS, S3, IAM, Elastic Load Balancer (ELB), Elastic Beanstalk, SNS, Glacier, SQS, Dynamo DB, Elastic search, & Cloud Watch.

•Extensively involved in Azure Development services Azure Active Directory, Azure web application, Azure Resource Manager (ARM), App services, Azure storage, Azure SQL Database, Azure Virtual Machines, Azure AD, Azure search, Azure DNS, Azure AD DS, Azure VPN Gateway & Notification hub, Azure VPN-Point to Site and Azure Custom security

•Used Azure Express Route to set up private connection to Microsoft cloud services like Microsoft Azure, Office & Dynamic 365.

•Extensive experience in Azure E3 Enterprise Mobility Suite of tools in MFA (Multi-Factor Authentication) & Intune.

•Experience in Google Cloud Platform (GCP) services like Compute Engine, Cloud Functions, Cloud DNS, Cloud Storage & SaaS, PaaS & IaaS concepts of Cloud computing architecture & implementation using GCP.

•Proficient in C/C++, UNIX Shell Scripting. Perl, Python scripting.

•Technical expertise with strong skills in Java / JEE(J2EE) Technologies (Java 1.5, JSP, Servlets, Spring 3.0, Spring MVC, Spring Transaction, Hibernate & JPA) & MySQL on Windows & Unix/Linux OS.

•Proficient in managing the source code control of multiple development efforts using, Subversion (SVN), TFS (for Windows Environment), CVS, GIT, Bitbucket & Perforce version control tools.

•Involved in configuring & integrating servers in various environments for automatic provisioning with tools like Ansible, Chef.

•Extensively worked on Puppet configuration management tool which includes installing Puppet master, agents & writing manifests from scratch & pushing them to agents.

•Developed Terraform templates to create load balancers, monitor various environments such as QA, SIT stage that run on VPC

•Worked to install, configure, & maintain Jenkins & Bamboo to build & deploy for CI/CD for database using Jenkins in Groovy.

•Responsible for installing Jenkins master & slave nodes & involved in GIT plugin & schedule jobs using Poll SCM option.

•Created efficient, fluid build pipelines & utilized many products like Jenkins/Hudson, Ant, Maven, Cruise Control, & integration into automated test beds JUnit, Jmeter, Selenium, Clover & PMD.

•Implemented Continuous Integration & Continuous Delivery (CI/CD) pipeline with S3, Maven, Ant, Nexus, Jenkins & AWS.

•Ample knowledge in integrating code quality tools such as SonarQube, Veracode.

•Involved in building own PAAS with Docker deployed various applications through Docker containers.

•Worked on several Docker components such as Docker Engine, Machine, Creating Docker Images, Compose, Docker Hub & handling multiple images for middleware installations & domain configuration.

•Used Kubernetes to deploy scale, load balance, scale & manage Docker containers with multiple namespace versions.

•Installation, Configuration & Management of NoSQL databases like MySQL, MongoDB & Cassandra.

•Good Knowledge in Administration of Production, Development & Test environments carrying different operating & hands-on experience in some monitoring tools like Data Log, New Relic, Cloud Watch, Nagios & Splunk.

•Deployed apps on Apache Tomcat, JBoss, WebSphere & WebLogic servers & worked with VM’s like VMWare, VirtualBox.

•Administered Jira & Confluence which includes permissions, custom fields, custom workflows, & Confluence space.

•Involved in Linux administration activities to troubleshoot regular & configuration issues, apply patches, kernel upgrades, package management, diagnose resource utilization & file system issues.

•Setup & maintained NFS, NIS, & TCP/IP network, configured the systems for TCP/IP Networking with the existing LAN, setting up SSH & SCP features between SUN systems & other Red Hat/UNIX hosts.

•Exposed to all aspects of the software development lifecycle (SDLC) such as Analysis, Planning, & Developing, Testing, & Implementing Post-production analysis of the projects using methodologies such as Agile, Scrum Models.

•Used Service-Now tool for managing incidents & change request tickets.

•Perform triage & troubleshooting on alarming & ticketing systems.

Technical Skills:

Cloud services

Amazon web Services (AWS), Azure, GCP

CI/CD Tools

Jenkins, Bamboo

Build Tools

Ant, Maven

DevOps Tools

Docker, Chef, Ansible, Nexus, Jfrog, Terraform, Cloud Formation, Kubernetes.

Bug Tracking Tools

Azure Boards, Jira, IBM Clear Quest, Selenium, Cucumber

Languages

C, C++, PL/SQL, Java/J2ee, Python, HTML, JSON

Networking

TCP/IP, NIS, NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP, TELNET, Firewalls

SDLC

Agile, Scrum & Waterfall.

Scripting

Shell/Bash Scripting, Python, Groovy

Monitoring Tools

Cloud Watch, Nagios & Splunk.

Version Control Tools

Git, SVN, CVS, bit bucket

Web/App Servers

Apache Tomcat, JBOSS, Web Sphere, Apache Server

Database

Oracle 9i/10g/11g, SQL Server, MySQL, MongoDB, MySQL

Documentation Tools

Confluence, Swagger, Visual Studio, MediaWiki, Tikiwiki

Operating Systems

RHEL (5.x, 6.x, 7x), SUSE Linux (9, 10, 11), CentOS 5, 6, Windows 2003, 2008, VMware ESX (3.5, 4.0).

JK Seva, Oakhurst, CA Feb 2023- Present

Role: Sr. Azure DevOps Engineer

Responsibilities:

•Managed Azure resources in cloud and maintained Continuous Integration and Continuous Deployment (CI/CD) pipeline for fast paced robust application development environment.

•Serve as a member of on boarding team, implementing DevOps transformation by working with Agile teams to migrate applications to Azure platform.

•Engineer and integrate an event-driven architecture with notification, logging, visualization, and analysis features, effectively informing and assisting relevant parties in resolving pertinent issues.

•Setup repos on Azure Git, merging code from develop branch to master branch and make it ready for deployment.

•Migrated legacy applications to Microsoft Azure Cloud PaaS by setting up CI/CD pipelines on Azure DevOps.

•Created Web Apps (PaaS solutions) on Azure portal for deploying web applications using Azure DevOps pipelines.

•Setup AKS clusters in Azure using Azure CLI.

•Extensive knowledge of CyberArk, including configurations, administration, installations, deployment of disaster recovery plans, and troubleshooting.

• Integrated and troubleshooted PAM/IAM tools for CyberArk and the Privileged Account product suite, which includes Privileged Session Manager (PSM), Central Policy Manager (CPM), Enterprise Password Vault (EPV), and Password Vault Web Access (PVWA).

•Administered tasks related to Azure B2C, extend invitations to guest users for B2B, and oversee Identity Governance, encompassing Access Packages and Reviews.

•Created nightly builds with integration to code quality tools with SonarQube.

•Helped teams to reduce defects rate by 30% by introducing TDD in first 3 months.

•Created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions were not met.

•Deploy Kubernetes clusters with just a few clicks or commands, making it easier for developers and DevOps teams to get started with Kubernetes.

•Migrated resources from on-prem Hyper-V host to Azure.

Meijer Corp, Grand Rapids, MI Jan 2022- Jan2023

Role: DevOps Engineer

Responsibilities:

•Write scripts to design, develop, test & deployment of new & upgraded solutions & identify the process of improvement.

•Proficient in Azure Development services Azure Active Directory, Azure web application, Azure Resource Manager (ARM), App services, Azure storage, Azure Databricks, Azure SQL Database, Azure Virtual Machines, Azure AD, Azure search, Azure DNS, Azure AD DS, Azure VPN Gateway & Notification hub.

•Worked on Azure Site Recovery & Azure Backup- Deployed Instances on Azure environments & in Data centers & migrating to Azure using Azure Site Recovery & collecting data from Azure Resources using Log Analytics & analyzed data to resolve issues.

•Creating CI/CD pipelines using YAML scripts for building & deployment of the services in Azure Cloud.

•Configured RBAC & worked on integrating Azure AD from on premise to cloud.

•Developed & managed Continuous Integration (CI) using Azure DevOps tools across numerous environments for teams deploying using YAML.

•Used Docker, & OpenShift to manage micro services for development of continuous integration & continuous delivery.

•Created PowerShell script for integrating health check endpoints for the services in the pipeline.

•Used Docker for setting Azure Container Registry with Docker & actively involved to deploy on Docker with Kubernetes.

•Deployed services in the Kubernetes clusters by creating deployment templates & manifests.

•Performed maintenance & troubleshooting of OpenShift Administration and worked on OpenShift to orchestrate, automate platform enhancements for containers, & support multi-tenancy. Worked on Kubernetes architecture & design problems, multiregional deployment models for large-scale applications, & troubleshooting concerns.

•Involved in the migration of all non-prod API endpoints from prod API manager to cert API manager using Terraform templates.

•Developed Terraform templates to spin up infrastructure for multi-tier application & provisioned boot strapped software on Cloud with terraform. Automated Cloud infrastructure migration & Maintenance using Terraform.

•Assigning the Azure services on locations specific to integrate with web apps & key-vaults.

•Involved in Role assignment, PIM activation & configuration, & Access Reviews configuration.

•Automated day to day activities using Azure CLI & PowerShell.

•Using Azure AD Privileged Identity Management, keep track of privileged access (PIM)

•Involved in the releases of applications to production environment every week.

•Monitored the health of the application through Dynatrace by creating health check endpoint.

•Worked on Dynatrace APM in end-to-end implementation & perform triage & troubleshooting on alarming & ticketing systems.

Environment: Azure, CI/CD, Azure DevOps, Terraform, OpenShift, Docker, Azure AD, Azure Resource Manager, Git, Gitlab, Jira.

Matrix Medical Network, Scottsdale, AZ July 2020 - Jan 2022

Role: DevOps Engineer

Responsibilities:

•Exposed to all aspects of the software development lifecycle (SDLC) such as Analysis, Planning, & Developing, Testing, & Implementing Post-production analysis of the projects using methodologies such as Agile, Scrum Models.

•Comprehensive Understanding on Azure VPN-Point to Site, Virtual networks, Azure Custom security, end security & firewall.

•Used Azure Express Route to set up a private connection to Microsoft cloud services like Microsoft Azure, Office & Dynamic 365.

•Worked on Azure E3 Enterprise Mobility Suite of tools in MFA (Multi-Factor Authentication) & Intune.

•Deployed Azure IaaS virtual machines (VMs) & Cloud services (PaaS role instances) into secure VNets & subnets managed & optimized the CI (Continuous Integration) tools like Azure DevOps.

•Built CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy & Code Pipeline.

•Extensively worked on installing, configuring, & maintaining Jenkins & Bamboo for the purpose of all build & deployments that are implementing CI/CD for database using Jenkins in Groovy.

•Created setup for the CI/CD pipeline using Jenkins, Maven, Nexus, Bitbucket, JFROG Artifactory, Chef, & Terraform.

•Created various build & deployment scenarios such as jobs to build from various branches, deploy tasks to development server or QA server or Staging/Production server using Jenkins.

•Configured & integrated the servers in various environments for automatic provisioning with tools like Ansible, Chef.

• Implemented Continuous Integration & Continuous Delivery (CI/CD) pipeline with Docker, Maven, Ant, Nexus Artifactory, Jenkins & AWS. Proficient with cloud services like Amazon Web Services.

•Build an own PAAS with Docker deployed various applications through Docker containers.

•Worked on Puppet configuration management tool which includes installing Puppet master, agents & writing manifests from scratch & pushing them to agents for CI &CD. Perform triage & troubleshooting on alarming & ticketing systems.

•Used Kubernetes to create Pods, Config Maps, & deployments into cluster.

•Good Knowledge in Administration of Production, Development & Test environments carrying different operating & h&s-on Experience in some monitoring tools like Data Log, New Relic, Cloud Watch, Nagios & Splunk.

•Used Service-Now tool for managing incidents & change request tickets. Worked with virtual machines like VMWare, VirtualBox.

Environment: AWS, AWS Direct connect, VM Export/Import, AZURE, Ansible, Jenkins, Azure DevOps, Git, GitLab, Maven, Ant, Puppet, Python, Terraform, Docker, Kubernetes, Linux, Nagios, Splunk, ServiceNow.

Station Casinos, Las Vegas, NV Jan 2019 - June 2020

Role: DevOps Engineer

Responsibilities:

•Proficient in managing the source code control of multiple development efforts using, Subversion (SVN), TFS (for Windows Environment), CVS, GIT, Bitbucket & Perforce version control tools.

•Created Buckets in AWS & stored files. Enabled Versioning & security for files stored.

•Worked with broad range of AWS Cloud Services like EC2, Auto Scaling, VPC, Route53, RDS, S3, IAM, Elastic Load Balancer (ELB), Elastic Beanstalk, SNS, Glacier, SQS, Dynamo DB, Elastic search & Cloud Watch.

•Built & configured a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public & Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.

•Leveraged AWS cloud services such as EC2, auto-scaling & VPC to build secure, highly scalable & flexible systems that handled expected & unexpected load bursts.

•Migrated on premises lower environments to Cloud SQL & GCE in GCP cloud to streamline OLTP.

•Managed IAM policies with active directory integration to manage security in GCP.

• Installation, Upgrading, Patching, Configuring & Administrating Red Hat Linux.

•Used AWS Beanstalk for deploying & scaling web applications & services developed with Java, PHP, Node.js, Python & Docker on familiar servers such as Apache, & IIS.

•Designed & implemented CI (Continuous Integration) system: configuring Jenkins servers, Jenkins nodes, creating required scripts (Perl & Python), & creating / configuring VMs (Windows/Linux).

•Responsible for installing Jenkins master & slave nodes & involved in GIT plugin & schedule jobs using Poll SCM option.

•Created efficient, fluid build pipelines & utilized many products such as Jenkins/Hudson, Ant, Maven, Cruise Control, & integration into automated test beds JUnit, Jmeter, Selenium, Clover & PMD.

•Worked on several Docker components such as Docker Engine, Machine, Creating Docker Images, Compose, Docker Hub & handling multiple images for middleware installations & domain configuration.

•Used Kubernetes to deploy scale, load balance, scale & manage Docker containers with multiple namespace versions.

•Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations.

•Manage instances utilizing Auto Scaling, Elastic Load Balancing & Glacier for our QA & UAT environments as well as infrastructure servers for GIT & Chef.

•Performing daily/weekly maintenance updates to Sona type Nexus Disconnected Environment (NDE).

•Performed server configuration management on Apache products, MySQL, & WebLogic using tools such as Ansible.

•Worked on Terraform, which is used to create & compose all the components necessary to run application & changed the existing Terraform templates to Cloud Formation Templates for use in AWS environment.

•Administered Jira & Confluence which includes permissions, custom fields, custom workflows, & Confluence space.

Environment: AWS, VDI, Linux, VPC, S3, Route53, EBS, IAM, ELB, chef, Cloud watch, Cloud Formation, AWS Auto Scaling, Docker, Kubernetes, Maven, ansible, Sona type, Jira, Terraform.

Client: Prism IT Solutions, Pune Date: Aug 2017 - Nov 2018

Role: Build & Release Engineer

Responsibilities:

•Administered & Engineered Jenkins for managing weekly Build, Test & Deploy chain, GIT with Develop/Test/Prod Branching Model for weekly releases.

•Built & configure a virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public & Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.

•Provide highly durable & available data by creating & managing policies for S3 data store, versioning, lifecycle policies.

•Designed highly available, cost effective & fault tolerant systems using multiple EC2instances, Auto Scaling, Elastic Load Balance & AMIs & Glacier for QA & UAT environments as well as infrastructure servers for GIT & Chef.

•Worked on AWS for deploying instances consisting of various Linux & Windows Services.

•Expertise in Azure infrastructure management (Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD Licenses, Office365).

•Built & migrated applications on Microsoft Azure Cloud Platform on different cloud service offering cloud solutions like IAAS & PAAS Azure Platforms & Automation processes within Azure via portal & PowerShell including Run Books & Scheduling Automation.

•Used chef for server provisioning & infrastructure automation in a SAAS environment Implemented Chef Recipes for Deployment on build on internal Data Centre Servers. .Also re-used & modified same Chef Recipes to create a Deployment directly into Amazon EC2 instances.

•Managed central repositories: Implemented Atlassian Stash along with GIT to host GIT central repositories for source code across products, facilitate code reviews & login audits for Security Compliance.

•Worked on various Docker components like Docker Engine, Hub, Machine, Compose & Docker Registry.

•Implemented multi-tier application provisioning in Open Stack cloud, integrating it with Ansible.

•Analyzed the ANT build projects for conversion & converting to Maven build projects.

•Developed pom.xml files for Maven build scripts.

•Used Maven as build tool on Java projects for the development of build artifacts on the source code.

•Coordinated Kafka operational & monitoring (via JMX) with DevOps personnel; formulated balancing leadership strategies & impact of producer & consumer message(topic) consumption to prevent overruns.

Environment: SVN, GIT, Jenkins, Java, ANT, Maven, SVN, Linux, Ansible, Chef, Docker, ARM, AWS-Cloud, AWS Lambda, EC2, AZURE, Open Stack, Shell/Perl Scripts, SCM, Jira, VMware.

Client: Symbiosys Technologies, Vizag Date: Dec 2015 - Jul 2017

Role: Java Developer

Responsibilities:

•Involved in all phases of SDLC including design, development, testing, implementation & support using Python & Java.

•Skilled in Python with using new tools & technical developments (libraries used: libraries - Beautiful Soup, Jasy, numpy, Scipy, matplotlib, Pickle, PySide, P&as dataframe, networkx, urllib2, Pychart, Highcharts)

•Technical expertise with strong skills in Java / JEE(J2EE) Technologies (Java 1.5, JSP, Servlets, Spring 3.0, Spring MVC, Spring Transaction, Hibernate & JPA) & MySQL on Windows & Unix/Linux OS

•Unit testing, integration testing, web application testing, & selenium testing were among the methodologies used.

•Continuous integration & automated deployments were carried out using Jenkins, Ansible, & Docker.

•Worked on MongoDB database concepts such as locking, transactions, indexes, Sharding, replication, schema design.

•Developed web/mobile application using Java, MySQL database & latest web technologies- HTML, HTML5, CSS, JavaScript, jQuery, Ajax, Spring framework, Section 508 Compliance, &roid & Blackberry.

•Involved in SDLC with software development models like JIRA, Agile Scrum Model, Prototype model & RUP, Waterfall model.

•Usage of python for creating Business Logic to create Business Planning & Tracking functions,

Environment: Python 2.7/2.6, Django 1.4/1.3, PHP, XML, CSS, HTML, DHTML, JavaScript, HTML5, CSS, JavaScript, jQuery, GCP, MongoDB, Jenkins, Ansible, Docker, Agile, Waterfall model.



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