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Supriya - DEVOPS/SRE /CLOUD ENGINEER

[email protected]

Location: Dallas, Texas, USA

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SUPRIYA GURRAM (DevOps/Cloud Engineer) [email protected] | Ph: 469-744-9679 LinkedIn: www.linkedin.com/in/supriya-gurram PROFESSIONAL SUMMARY: Dedicated 10+ years of experience in which 6+ years of working as a Cloud DevOps and Site Reliability Engineer along with Build and Release engineer on RedHat Linux, CentOS, Ubuntu, and Windows environments, Cloud computing such as Azure DevOps through Continuous Integration (CI) and Continuous Deployment (CD) tools like Jenkins, Azure DevOps, Chef and Ansible and 4+years of Linux Administrator. Configured Continuous Integration from source control, setting up build definition within Visual Studio Team Services (VSTS) and configure continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps and managed Azure Active Directory, Office 365 and applied upgrades on a regular basis. Implemented a CI/CD pipeline with Docker, Jenkins, Team Foundation Server (TFS), GitHub and Azure Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it. Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud. Experienced in configuration management with Ansible, Chef, and Puppet, with working knowledge of Salt Stack, implemented monitoring and observability using Prometheus, Grafana, Azure Monitor, Splunk, ELK/EFK, and Datadog/Dynatrace for proactive incident detection and SRE-driven reliability. Experience in AWS Services EC2, IAM, Subnets, VPC, Cloud Formation, S3, SNS, SES, RedShift, CloudWatch, SQS, Route53, Lambda, Kinesis and RDS and obtaining High Availability and Fault Tolerance for AWS EC2 instances utilizing services like Elastic IP, EBS and ELB. Experience in Converting Existing Terraform modules that had version conflicts to utilize CloudFormation templates during deployments, worked with Terraform to create stacks in AWS, and updated the Terraform scripts based on the requirement on regular basis. Experience in integrating Terraform with Ansible, Packer to create and Version the AWS Infrastructure, designing, automating, implementing and sustainment of Amazon machine images (AMI) across the AWS Cloud environment. Excellent knowledge in Azure computer services, Azure Web apps, Azure Data Factory & Storage, Azure Media & Content delivery, Azure Networking, Azure Hybrid Integration, and Azure Identity & Access Management. Experience in Azure IaaS, PaaS, Provisioning VM's, Virtual Hard disks, Virtual Networks, Deploying Web Apps and creating Web-Jobs, Azure Cosmos DB, Active Directory, Azure Windows server, Microsoft SQL Server, Microsoft Visual Studio, Windows PowerShell, Cloud infrastructure. Experience in cloud automation and orchestration framework using AWS, Azure and OpenStack. Implemented multi-tier application provisioning in OpenStack cloud, integrating it with PUPPET, migrating the application using MAVEN as build tool. Highly motivated and committed DevOps Engineer experienced in Automating, configuring and deploying instances on AWS, Microsoft Azure and Rackspace cloud environments and Data centers. Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets. Deployed Azure resource manager-based resources. Implemented Security in Web Applications using Azure and deployed Web Applications to Azure. Familiar using Dependency Visualization in Azure migrate for deep analysis and identify application dependencies. Experience setting up Azure Migrate and ASR servers using OVF templates in the On-premises vCenter host. Experienced in designing and maintaining CI/CD pipelines using Harness.io, GitHub Actions, Azure DevOps, and Jenkins, integrating automation workflows across hybrid cloud and on-prem environments; managed Kubernetes clusters (EKS, AKS) with exposure to Rancher for multi-cluster orchestration and leveraged Terraform for scalable, resilient infrastructure automation. Proficient in GitOps practices using ArgoCD with Helm charts to automate Kubernetes application deployments, rollbacks, and environment synchronization across hybrid cloud platforms. Created and deployed VMs on the Microsoft cloud service Azure, managed the virtual networks, Azure AD and SQL. Experience in using Docker includes Docker Hub, Docker Engine, Docker images, Docker compose, Docker swarm, and Docker Registry and used containerization to make our applications platform to be consistent flexible when they are moved into different environments. Experience in deploying Kubernetes Cluster on AWS and Azure cloud environments with master architecture and wrote many YAML files to create many services like pods, deployments, auto-scaling, load balancers, labels, health checks, Namespaces, Config Map etc. Hands-on with Unix and IBM AIX system administration supporting hybrid infrastructure; proficient in ServiceNow ITSM workflows and Jira for incident tracking, with strong scripting skills in Bash and Python for automating operational tasks, log aggregation, and monitoring using ELK Stack to enhance deployment reliability and collaborate on infrastructure optimization efforts. Experience in working on version control systems like GIT and used Source code management client tools like Git Bash, GitHub, Git GUI and other command line applications. Experience in deploying and configuring Elasticsearch, Log Stash, Kibana (ELK) and AWS Kinesis for log analytics and experienced in monitoring servers using Nagios, Splunk, CloudWatch. Worked on customizing Splunk dashboards, visualizations, configurations, reports and search capabilities using customized Splunk queries. I am expert in writing scripts like Power Shell, JSON, Node.js, YAML, Groovy, Bash/Shell, Python for automating the build and release process. Exposure to all aspects of Software Development Life Cycle (SDLC) such as Analysis, Planning, Development, Testing, Implementation, Post-production analysis of the projects. Knowledge of the Microsoft .Net Framework (WinForms, Web Forms, WCF, WPF). Experienced in Project analysis, gathering user requirements, technical design. Experienced in Agile methodologies with hands-on use of Jira for sprint planning, task tracking, and integrating DevOps workflows into project management processes. Highly organized, detailed oriented, able to plan, prioritize work and meet deadlines. Ability to work directly with all levels of management to gather user requirements. Experience in SDLC like Waterfall, Safe Agile and DevOps methodologies. CERTIFICATIONS: Certified Kubernetes Administrator AWS Developer Associate Certified Azure Administrator TECHNICAL SKILLS: Cloud Environments Microsoft Azure, Amazon Web Services (AWS), GCP Version Control Tools GIT, GITHUB, GITLAB, Bitbucket, SVN CI/CD Tools Jenkins, Azure DevOps, Bamboo, GitHub Actions Build tools Maven, ANT, Gradle, NPM Automation Tools Ansible, Terraform, ARM templates Deployment Tools Azure DevOps Server, Octopus CI/CD Security & Code Quality Tools SonarQube, Trivy Monitoring Tools Nagios, Splunk, ELK, CloudWatch, Azure Monitor, Prometheus, New Relic, Grafana, Datadog, Dynatrace Messaging & Streaming Kafka, Confluent Cloud Container Tools Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, Aws ECS. Bug Tracking Tools JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle Repositories Artifactory, Nexus Database Data Lake, Date Bricks, Cosmos DB, My SQL, MS SQL, Oracle, Dynamo DB, Cassandra, Mongo DB 7 SQL Server Content management Systems Adobe Experience Manger (AEM) Scripting & Programming Languages Shell Scripting, RUBY, C, C++, XML, PL/SQL, HTML, PERL, Power Shell, Python, .Net, Gradle, Groovy Application/Web Servers Web logic, Web sphere, Apache Tomcat, Nginx, Oracle application server Operating Systems UNIX, Linux, Windows, Solaris, CentOS, UBUNTU and RHEL. EDUCATION: Completed bachelor s in computer science in June 2012 from Acharya Nagarjuna University, India PROFESSIONAL EXPERIENCE: Client: Credit Acceptance, Michigan Jun 2023 to Present AWS DevOps Engineer Responsibilities: Designed multiple VPC s and public/private subnets with required number of IP s using CIDR blocks, Route Tables, Security groups and Elastic Load Balancer. To grant granular permissions to specific AWS Users, Groups and Roles created IAM policies. Automated AWS deployment and configuration tasks using Lambda. Configured AWS Route53 to manage DNS zones globally, create record sets, DNS failover and health checks of domains, assign domain names to ELB and Cloud Front. Use Docker and Kubernetes to manage micro services for development of continuous integration and continuous delivery. Developing Cloud formation templates to launch VPC s and instances in the AWS cloud. Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform. Managed AWS infrastructure as code using Terraform. Worked with AWS S3 and IAM services, created S3 buckets, and configured them with permissions, logging, versioning, and tagging and created new IAM users and groups, defined roles, policies and identifying providers. Designed and implemented CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, and GitLab with GitOps workflows for Kubernetes deployments; automated infrastructure provisioning across Azure, AWS, and on-prem environments using Terraform, CloudFormation, and Ansible; managed Rancher-based Kubernetes workloads and collaborated with Unix and IBM AIX teams to support hybrid deployments and on-prem folder structures. Implemented GitOps workflows with ArgoCD, managing Helm chart based deployments on OpenShift and EKS clusters; streamlined upgrades, rollbacks, and environment drift detection to improve release consistency and reduce deployment errors. Docker has been cored to this experience, along with Kubernetes Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of OpenStack Nodes and Test Playbooks on AWS instances using Python. Managed deployments in EKS managed Kubernetes, setup multi nodes cluster and deployed containerized applications Involved in AWS EC2, VPC, S3, SQS, SNS based automation through Terraform, Ansible, Python, Bash Scripts. Adopted new features as they were released by Amazon, including ELB & EBS. Enhanced observability by integrating Prometheus and Grafana with ELK/EFK, and extended monitoring coverage using Datadog and Dynatrace for performance metrics, alerting, and disaster recovery readiness in hybrid cloud environments. Maintaining a farm of AWS solution using EC2 instances, ELB's, S3, EBS, Auto Scaling. Worked with Container management using Docker by writing Docker files, set up the automated build on Docker HUB, and installed, configured Kubernetes. Automated the cloud deployments using chef, python and AWS Cloud Formation Templates. Deploying cluster on AWS with Jenkins, Docker pipeline implementation. Developed Shell and Python scripts for automating health checks, deployment validations, and infrastructure tasks; managed incident workflows using ServiceNow and Jira, ensuring timely issue resolution, and implemented proactive monitoring and post-incident analysis through ELK Stack dashboards and alerts for production workloads. Created, tested and deployed an end-to-end CI/CD pipeline for various applications using Jenkins as the main Integration server for Dev, QA, Staging and Prod environments. Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installing and configured Kubernetes. Deployed and configured Elastic search, Log Stash and Kibana for log analytics, full text search, application monitoring in integration with AWS Lambda and CloudWatch. Setup Nginx Ingress controller to manage the ingress/egress routing rules for Kubernetes Served the ELK stack community with use cases and Logstash plugin and Deployed applications using Jenkins server and Troubleshoot build & release job failures, resolve, work with developers on resolution. Installing, configuring and administering Jenkins CI tool using Chef on AWS EC2 instances. Written Templates for AWS infrastructure as a code using Terraform and CloudFormation to build staging and production environments Assisted developers with establishing and applying appropriate branching, naming conventions using GIT source control, implemented GIT mirror for SVN repository to enable users to use both GIT and SVN. Worked on integrating AWS DynamoDB using AWS Lambda to store the values of the items and backup the DynamoDB streams. Environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy. Involved in Architect, Build and maintain Highly Available secure multi-zone AWS cloud infrastructure utilizing Chef with AWS Cloud Formation and Jenkin & Hudson for continuous integration. Responsible for CI environments (Jenkins, Nexus, Sonar) Written automation scripts for creating resources in OpenStack cloud using Python and terraform modules. Collaborated with Agile teams using Jira for sprint planning, managing user stories, tasks, and tracking deployment workflows in CI/CD pipelines. Involved in using Terraform and Ansible, migrated legacy and monolithic systems to Amazon Web Services (AWS). Performed proof of concepts on various open-source CNCF graduated solutions to test and deploy with Kubernetes. Setting up servers through using AWS for deployment or other uses for application. Involved in complete cycle on migrating physical Linux/Windows machines to cloud (AWS) and configured Apache webserver in the Linux AWS Cloud environment using Chef Automation. Environment: AWS, Jenkins, Ansible, Docker, EKS, Docker Swarm, Kubernetes, Terraform, Maven, Ant, SonarQube, Packer, Python, Shell, WebLogic, DynamoDB, Windows, ELK, Git, SVN, Linux, Nexus. Client: State Farm, Dallas, TX Dec 2021 to May 2023 Azure DevOps Engineer Responsibilities: Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets. Planned and designed the build and released methodologies for the application through Azure platform. Configured Forward Proxy and Reverse Proxy setup by utilizing F5 BIG-IPs in Azure Cloud platform. Worked on Server less services (Azure Functions) created and configured HTTP Triggers in Azure Functions with Application insights for monitoring and performing load testing on the Applications using the VSTS. Experience of working in VSTS staying connected with the organization all the way from planning to release in agile methodology. Corteva Azure Architecture is Read Only through Portal. Utilized PIM for troubleshooting critical application issues. Creation of resources will be through Azure DevOps release pipeline using contributor SPN role (Iac). Automated different workflows, which are initiated manually with Python scripts and Linux bash scripting. Configured and deployed several hypervisors and Virtual Machines running on Google Cloud Platform (GCP) for developing, testing and production environments. Written Templates for Azure infrastructure as a code using Terraform to build staging and production environments. Built Terra grunt project to manage Terraform configuration file DRY while working with multiple terraform modules and worked with Terraform Templates to automate the Azure IaaS virtual machines using terraform modules and deployed virtual machine scale sets in production environment. Integrated Azure Log Analytics with Azure Virtual machines for monitoring the log files store them and track metrics. Integrated CI/CD pipelines using GitHub Actions and Azure DevOps to streamline automated deployments, automated infrastructure provisioning with Terraform and CloudFormation across Azure, AWS, and on-prem environments, and contributed to Rancher-based Kubernetes workload management while collaborating with Unix and IBM AIX teams for hybrid deployments and on-prem deployment workflows. Responsible for implementing containerized based applications by using Azure Kubernetes Service (AKS) Developed Shell and Python scripts for automating health checks, deployment validations, and infrastructure tasks, managed incident workflows using ServiceNow and Jira for issue tracking and resolution, and implemented proactive monitoring, alerting, and post-incident analysis through ELK Stack for production workloads. Migrated consumer data from one production server to another production server over the network with the help of Perl scripting. Implemented branching, merging and versioning of the code in GITHUB. Maintained branches/forks in GITHUB version control for the changes made in cookbooks as per release. Ensured error free build and deployment of the application. Utilized Jira and Confluence for coordinating sprint activities, tracking deployment tasks, and maintaining project documentation in DevOps environments. Designed and configured Azure Virtual Networks (V-Nets), Subnets, Azure Network Security Groups, DNS Settings, Security policies and Routing. Used terraform to write Infrastructure as code and created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets Coordinated with the Development team to resolve errors in integration. Developed scripts using pandas to easily perform read/write operations to CSV files, manipulate and compare data by columns. Implemented and enhanced CRUD operations for the applications using the MVC architecture of Django framework and conducted code reviews. Performed the synchronization of various environments with the latest code. Environment: Java/J2EE, GITHUB, Jenkins, Chef, Ansible, ANT, Maven, VSTS, Shell (bash), JSON schema, Django, F5 LTM, Apache Tomcat, WebLogic, Terraform, GCP, Azure, PowerShell, Red hat LINUX, CentOS, UNIX, JIRA, Remedy. Comcast - Atlanta, GA. Jul 2020 to Nov 2021 DevOps Engineer Responsibilities: Worked on many different concepts of Chef like Roles, Environments, Data Bags, Knife, and Chef Server Admin/Organizations. Written Chef Recipes to automate build/deployment process and data bags in Chef for better environment management. Tested Chef Cookbook modifications on cloud instances in AWS and using Test Kitchen and Chef Spec Written Chef Cookbooks for various DB configurations to modularize and optimize product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes. Implemented Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple names spaced versions. Implemented a Continuous Delivery pipeline with Docker, Jenkins and GitHub. Responsible for installation & configuration of Jenkins to support various Java builds and Jenkins plugins to automate continuous builds and publish Docker Images to the Nexus Repository. Automated Nagios alerts, email notifications using Python script, and executed them through Chef. Installed, configured and maintained web servers like Apache Web Server and WebSphere Application Server on Red Hat Linux. Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure. Experience with Red Hat Linux kernel, memory upgrades and swaps area. Red Hat Linux Kickstart. Installation Sun Solaris Jumpstart Installation. Configuring DNS, DHCP, NIS, NFS in Sun Solaris 8/9 & other Network Services. Used multiple EC2 instances at the same time and provided highly durable and available data by using S3 data store, versioning, lifecycle policies, & create AMIs for mission-critical production server s backup. Provided highly durable and available data by using S3 data store, versioning, and lifecycle policies. Performed the automation deployments using AWS by creating the IAMs, used the code pipeline plugin to integrate Jenkins with AWS, and created the EC2 instances to provide the virtual servers. Worked with Knife command line tool for creating Recipes, Cookbooks and worked with chef supermarket. Implemented Docker-Maven plugin and Maven POM to build Docker Images for all microservices and later used Docker file to build the Docker Images from the java jar files. Used Git for source code version control, integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and Ant, and written Maven pom.xml build script. Installed, Configured, and Managed Monitoring Tools such as Nagios for Resource Monitoring/ Network Monitoring. Environment: AWS (EC2, S3, Route 53, EKS, Kubernetes, EBS, Security Group, Auto Scaling, and RDS), GIT, Chef, Docker, SonarQube, Maven, Python, Nagios. HTC Global Svc, Michigan. Oct 2018 to Jun 2020 DevOps Engineer Responsibilities: Creating fully automated build and deployment infrastructure and processes for multiple projects. Developing scripts for building, deployment, maintenance and related tasks. Design and implement solutions for monitoring, scaling, performance improvement and configuration management Provide timely resolution to MQ software related problems and performance issues Work with application developers and QA support groups to resolve issues and problems with MQ subsystems Work with vendors and technical support teams to identify MQ software related problems Experience in designing and deploying AWS Solutions using EC2, S3, EBS, ELB, and Auto Scaling groups. Cloud as a code with Ansible. Develop scripting to automate common system tasks/actions, alerts and problem tickets Develop wellness health check scripts, processes, and procedures Conduct Production Readiness Inspections of change events, assessing impacts and risks Provide technical recommendations involving the DB2 environments and tools upon request Monitor system resources, make tuning recommendations. Perform research on AWS resources or tools to recommend to clients. Utilize AWS calculator to produce a budget for a project on AWS. Created monitoring metrics and dashboards using enterprise tools. Worked on design, development, testing and implementation of Stratus batch applications to Update/Insert/Load various transactional DB2 tables. Analysing existing data model and making appropriate changes to make it compatible with business requirements. Analyse and Evaluate Existing Architecture, Design and Configure a complex Network architecture on AWS Cloud. Migrate on premises applications to the cloud. Involved in the Implementation of the project and must support for Production issues after implementation of the project. Environment: UNIX, MQ, AWS, Stratus COBOL, GIT, File System, Forms, Macros, JCL, DB2, Teradata. Ananya Coreint Tech, India. Oct 2012 - Dec 2016 Linux Administrator Responsibilities: Responsible for executing the JAVA web applications on application server. Developed SQL Queries and stored procedures in SQL Server for retrieving the data from the database. Extensively used the JSP in the view side of MVC. Used Eclipse in developing different J2EE components Used Servlets, JSPs and Struts framework. Actively coordinated meetings and followed up with the clients for gathering project requirements and specifications. Analysed the requirements and designed the ER diagrams in accordance with the specifications. Responsible for developing some of the PHP-based frameworks. Developed programs using HTML, JSP, XML, and Servlets. Preparing the design documents and review with analysis team, development team and testing team. Extensively worked on presentation layer and simulators developed with Struts. Used SQL Queries and Stored Procedures extensively in retrieving the contents from SQL Server. Responsible for the Analysis and detailed Design of the Database Tables. Used JSP for taking the user input and sending it to the Java business classes. Used Photoshop to design buttons and menus for the website. Designed and developed various Core and Advanced Java application modules using Applets, Swing, AWT and Threading. Involved in coding of Action Classes and Model Classes. Used WebSphere application server. Environment: Struts, MVC, Java, J2EE, JavaScript, HTML, JSP, Ajax, Servlets, XSL, XML, JNDI, Web sphere, Eclipse, Apache Tomcat, SQL Server, PHP, JDBC. Keywords: cprogramm cplusplus continuous integration continuous deployment quality analyst message queue javascript access management sthree database active directory information technology ffive hewlett packard microsoft procedural language Georgia Texas