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SRIVENI MANDADI - DevOps Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation: yes

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SRIVENI MANDADI DevOps Engineer Ph.: 469-659-7532 Email: [email protected] PROFESSIONAL SUMMARY: Certified IT professional with over 10+ years of industry experience, boasting certifications in AWS and Azure cloud platforms. Specialized in DevOps methodologies, CI/CD pipeline implementation, configuration management, and build/release management, with a proven track record in QA/test engineering, ensuring the delivery of high-quality solutions. Proficient AWS cloud services like EC2, Elastic Load-balancers (ELB), Elastic Container Service (ECS), ECR, EKS, S3, Elastic Beanstalk, ELK stack, SNS, SQS, Cloud Front, RDS, Dynamo DB, VPC, Route53, Cloud Watch, Cloud Trail, Cloud Formation, IAM for troubleshooting Amazon images for server migration from physical into cloud. Proficient with Azure cloud services such as Azure storage, IIS, Azure Active Directory (Entra ID), Azure Resource Manager (ARM), Azure Storage, ACR, AKS, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure application insights, Azure Service Fabric, Azure Monitor, and Azure Service Bus, Cosmos DB. Experienced in provisioning of IaaS, PaaS, SaaS virtual machines (VMware) and web/worker roles on Microsoft Azure classic and Azure Resource manager (ARM). Capability in writing Infrastructure as a code (IAC) in Terraform, Azure resource management (ARM), AWS Cloud Formation. (CFT) Created reusable Terraform modules in both Azure and AWS Cloud Environments. Skilled in supporting, configuring, troubleshooting, and maintaining diverse server environments including Windows and Linux/Unix(Ubuntu, CentOS, RHEL). configuring and managing application. Utilized Ansible as a configuration management tool to automate repetitive operations, deploy key apps quickly, and control change using Python code. Used Python API to automate cloud deployment. Expertise in supporting front-end developers and providing CI/CD support for front-end technologies. Successfully planned and implemented data and storage management solutions in Azure, including SQL Azure, Blob Storage, ARM Templates, PowerShell scripts, IaaS, Lift & Shift, storage, VM creation, network, and database. Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes. Proven experience monitoring Linux systems. Automated shell script to start and stop the server. Experience working with micro-service technologies & Containerization tool such as Docker which is used to containerize and deploy applications on Kubernetes clusters. Proficient in managing container registries, including Docker Registry, Azure Container Registry (ACR) and Amazon Elastic Container Registry (ECR), for securely storing and managing Docker images, facilitating efficient deployment and scalability within cloud-native environments. Deployed a managed Kubernetes cluster in AWS/AZURE through AKS/EKS establishing clusters via AWS/AZURE CLI and used template-driven deployment approaches and focusing on deploying and managing containerized applications. Experience in writing Python,PowerShell, bash for batch processing which is process automation of databases, applications, backup, and scheduling to reduce both human intervention and man-hours. Hands-on experience with databases (Cosmos DB, MySQL, MongoDB, Cassandra) creating users, performing dump/restore and taking automated snapshots Experience using the following front-end technologies: Node.JS, Angular, other JavaScript technologies Proficient in utilizing various log monitoring tools such as Splunk, Nagios, Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), application performance monitoring (APM), log monitoring, Datadog and New Relic for observing log data, monitoring system health, and receiving notifications regarding node security and status. Skilled in Agile methodologies like Scrum and Kanban, adept at optimizing project management and team collaboration. Proficient in Atlassian tools including Confluence, Azure Boards, JIRA for streamlined workflow and effective communication within teams. CERTIFICATIONS: AWS Developer Associate Microsoft Certified Azure Administrator Certified Kubernetes Administrator TECHNICAL SKILLS: Title Tools Used Cloud Environments Microsoft Azure, Amazon Web Services Azure Services App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL AWS Services RDS, EC2, VPC, IAM, EBS, S3, ELB, Auto Scaling, Cloud Trial, ECR, EKS, Cloud Watch Configuration/Automation Management Ansible, Chef, Puppet, Terraform Source code Management GITHUB, Azure repos, Bitbucket Build Tools ANT, Maven, Gradle CI/CD Tools Jenkins, Bamboo, GitHub actions, Azure DevOps, Argo CD Monitoring Tools Splunk, Nagios, Cloud Watch, ELK, Grafana, Prometheus, Datadog, Kibana Container Tools Kubernetes, Docker, OpenShift Scripting/Programming Languages Python, Java, Shell (PowerShell/Bash), Ruby, YAML, JSON, Groovy, JavaScript, C/C++, Shell Scripting. Version Control Tools GIT, SVN, Subversion, Bitbucket, Git Lab Operating Systems UNIX, Linux (Ubuntu, Debian, Red Hat, Centos), Windows Server, RHEL Databases SQL Server, MYSQL, Oracle, NoSQL, MongoDB, Dynamo DB, Cassandra Ticketing Tools Jira, Azure Board Testing / Code Quality Selenium, SonarQube Web/Application Servers Apache Tomcat, Nginx, httpd, WebLogic, JBoss, IIS Virtualization Tools Oracle Virtual Box, VMWare, vSphere, Vagrant Infrastructure as Code Terraform, Cloud formations, ARM (JSON, Bicep) EDUCATION: Completed Bachelor s from Andhra University (computer science) in India. PROFESSIONAL EXPERIENCE: Client: Walmart. West Memphis, Arkansas | APR 2022 to till now Role: Sr. Cloud DevOps Engineer/SRE Responsibilities: Executed Azure infrastructure setup, encompassing virtual networks, VMs, subnets, security groups, Active Directory, Azure Container Registry (ACR), Azure Kubernetes Service (AKS), Key Vault, and monitoring components, to ensure a secure and scalable environment. Proficient in designing, deploying, and managing complex cloud infrastructures on Azure, encompassing a wide range of services including VMs, PaaS solutions, storage, networking components (NIC, VNET), peer routing, NSGs, ASGs, traffic manager, front door, load balancers, Azure Firewall, API Gateway, and other capabilities. Implemented Azure active Directory and role-based Access control (RBAC) for secure access and segregation of duties. proficient in Infrastructure as Code (IaC) practices using tools like Terraform, Azure Resource Manager (ARM) templates, or Azure CLI. They can automate the deployment and management of infrastructure resources, ensuring consistency, repeatability, and scalability while reducing manual errors and deployment time. Deployed Azure Storage services, including Azure Blob Storage and Azure Files, to enable efficient and scalable data storage. Configured storage accounts, containers, and file shares to support seamless data management and retrieval. Create a Terraform templates to manage Azure infrastructure and create Storage Accounts and Blob containers to store remote state files using Terraform modules. Specialization in Azure CI/CD processes by utilizing Azure DevOps, Azure CLI, App services to build Repos, Pipelines, Web Apps, and monitoring applications using Application Insights. implementation of security scanning and monitoring tools such as Check Marx, Azure Monitor, and Azure Log Analytics, ensuring comprehensive protection and compliance across cloud-native architectures. Implemented Azure multi-Factor Authentication (MFA) as part of AD premium to securely authenticate users and created custom Azure templates for rapid deployment and powerful PowerShell scripting. Implementing CI/CD pipelines using Azure DevOps YAML pipelines, and able to integrate with tools with Azure Databricks to enable streamlined data processing and analysis. Automated infrastructure provisioning and management using Azure DevOps, incorporating Front Door and APIM for API management, streamlining deployment processes and enhancing system reliability. Experience in integrating Unit Tests and Code Quality Analysis tools like Junit. Maven, npm, NuGet, and ANT were used to implement integrated package management systems, which improved dependency management and streamlined software development processes for enterprise applications. Used Azure artifacts for storing the build artifacts where versioning is solid and accurate, also used JFROG artifactory for storing Docker images. Automated Change Management processes using modernized solutions like ServiceNow, driving efficiency and compliance in change control procedures while minimizing manual intervention and errors Use Docker to provide a high-level API for lightweight, process-isolated containers. Created custom container images, tagging, and pushing them to Docker Hub and Azure Container Registry. Ensured container image security through thorough reviews using Trivy. Experienced in creating projects in Argo CD and deploying Argo CD in to Kubernetes cluster from the scratch. Utilized Azure Kubernetes Service (AKS) to deploy managed Kubernetes clusters within Azure. creating AKS clusters through the Azure portal, employing versatile deployment methodologies including Azure Resource Manager (ARM) templates and terraform Created cluster using Kubernetes and worked on creating many pods, controllers, replica sets, services, deployment labels, health checks and ingress by writing YAML files. Used Azure DevOps to automate scaling and self-healing of Kubernetes-deployed applications. And used Azure DevOps to configure Autoscaling for many Kubernetes clusters and used Kubernetes' built-in self-healing features to automatically replace failed pods Used Kubernetes to manage containerized applications using its nodes, config maps, selector, Services, and deployed application containers as pods. Deployed Nginx Ingress controller in the AKS cluster and New Relic APM. Monitored the pods in the cluster along with ingress controller with New Relic. Created dash boards using New Relic Query Language. Utilizing Helm charts to define, package, and deploy complex applications efficiently on Kubernetes clusters. Used Istio to collect and analyze telemetry data to improve the performance and reliability of microservices Scheduled Splunk based Reports and alerts to monitor the system health performance and maintained Splunk based native Role and User creation. Monitored and tracked SPLUNK performance problems, administrations, and open tickets with SPLUNK. Created ARM Template for deploying the resources into Azure using PowerShell and continuous integration by VSTS. Azure Monitor collects and analyzes metrics and logs from Cosmos DB, allowing for proactive monitoring and troubleshooting of dB performance and behavior. Proven ability to solve problems analytically and quantitatively, employ logical reasoning, and undertake advanced troubleshooting and root cause analysis of challenging technical issues "Led Agile and SAFe methodologies, optimizing project management and team collaboration. Achieved efficiency gains and accelerated delivery timelines." Updated Walmart's business processes and applications, implementing tailored solutions to enhance operational efficiency and drive seamless customer experiences." Environment: Azure, Terraform, Ansible, Docker, Kubernetes, Jenkins, Git, Splunk, Python Scripts, Helm charts, ACR, AKS, Azure CLI, YAML file, Nginx Ingress controller, Cosmos DB, ARM Template, New Relic, JFROG Artifactory, Shell Script, ISTIO Client: Fannie Mae. Virginia AUG 2020 - MAR 2022 Role: DevOps Engineer/SRE Responsibilities: Provisioned and managed AWS services, such as EC2 instances, VPCs, Lambda functions, ELB, IAM roles, S3 buckets, RDS databases, ECR, and EKS to support the project's infrastructure requirements. Used AWS for creating new instances, checking security group settings, adding elastic IPs for servers, and deleting the elastic IPs for the servers needed, applying the inbound IP addresses as needed. Created Users, Groups, Roles, Policies, and Identity providers in AWS using Identity Access Management for improvement in login authentication. Created a Lambda functions using Python Script to stop all the instances with a specific tag for AWS Instance and made it into Cloud Watch Scheduler to schedule it every night. Integrated Git for source code version control, Jenkins for CI/CD pipeline, Maven, and Ant build tools, and wrote a Maven pom.xml build script. Resolved version conflicts in Terraform modules to use CloudFormation for enhanced deployment control and missing features. Used Ansible to deploy ELK for automating continuous deployment (CD) and configured Nodes and deployment failure reporting and working with Site Reliability Engineer to implement Data dog system metrics, analytics. Pipelined Application Logs from App Servers to Elasticsearch (ELK Stack) through Logstash. Created CI/CD pipelines and setup auto trigger, auto build and auto deployment with the help of the CI/CD tool like Jenkins. Leveraged Test Automation tools and scripts to drive Test Driven Development practices, enhancing software quality and accelerating the release cycle through automated testing processes. Streamline SDLS using scripting languages such as Python, Shell, and Groovy. System troubleshooting and problem solutions across multiple platforms and applications. Used SonarQube for continuous inspection for code quality and to perform automatic reviews of code to detect bugs. Automated application onboarding process to OpenShift. Worked with Open Shift platform in managing Docker containers and Kubernetes Clusters. Created and maintained the Power Shell scripts and Perl scripts deployment scripts for Tomcat application servers. Automated the process of deployment to Apache Tomcat Application Servers by developing Unix/Python Scripts. Developed Docker files, created, and tested images, then pushed them to the container registry (ECR). Orchestrated deployments using EKS, and monitored and managed updates to facilitate efficient application development and deployment. Used container orchestrator Elastic Kubernetes Service (EKS) to deploy, load balance, scale and manage Docker containers with multiple namespace versions, developed CI/CD system with Jenkins to build test and deploy microservices. Containerized and deployed an application using Docker on to a Kubernetes cluster managed by AWS EKS. Used AWS CloudFormation Templates (CFT) to launch a cluster of worker nodes on Amazon EC2 instances. Utilized Kubernetes manifests and Helm charts to deploy and manage microservices within Kubernetes clusters, ensuring reproducible builds and efficient deployment processes. Leveraged Kubernetes to automate deployments, scaling, and management of containerized applications across clusters of hosts, including configuring Autoscaling for multiple clusters and utilizing Kubernetes' built-in self-healing capabilities to replace failed pods automatically. Monitoring cluster availability and overall system health for the Internal Kubernetes Platform. Working on Scheduling, deploying, and managing container replicas on a node cluster using Kubernetes. used the code pipeline plugin to interface Jenkins with AWS, and deployed EC2 instances to offer virtual servers. Used Ingress Resources in Kubernetes to support a high-level abstraction that allows simple host or URL or HTTP-based routing and used it to expose the applications. Implemented Istio service mesh to provide a unified way to control and monitor microservices in a Kubernetes cluster. Experienced in developing Ansible Playbooks to automate the provisioning of the Kubernetes cluster, troubleshooting the Kubernetes Pods which have issues with Persistent Volume Claims. Contributed to the integration of the AWS Kafka live stream module with Kubernetes, implementing Spring Kafka API calls to guarantee smooth message processing inside the Kafka cluster architecture. Demonstrated expertise in container orchestration using OpenShift, including pod scheduling, scaling, and load balancing, to efficiently manage containerized workloads. Used Helm to install Prometheus and Grafana for monitoring within the Kubernetes cluster, ensuring optimal application performance oversight. Furthermore, used CloudWatch to retrieve logs data for thorough monitoring. Utilize UNIX command line tools and scripts for real-time system monitoring, troubleshooting, and deployments. Expertise in creating Datadog daemon sets on Kubernetes cluster and automated emails with Datadog reports using Datadog rest Api/ web hooks Environment: AWS Cloud (EC2/EMR), Splunk, Terraform, Ansible, Docker, Kubernetes, Jenkins CICD Pipelines, Python, GIT, GitHub, Bash, CloudWatch, Prometheus and Grafana, Helm, containers, Nexus Artifactory, Jira, ECR, EKS, DynamoDB, Kafka, VPCs, Lambda functions, ELB, IAM roles, S3 buckets, Client: Elevance Health | Virginia May 2019 to Jul 2020 Role: DevOps Engineer Responsibilities: Extensive working on AWS servers and AZURE servers performing several operations. Configured Amazon cloud services including S3, RDS, Elastic Load Balancing, IAM, Route53 and Security Groups in Public and Private Subnets in VPC, created storage cached and storage volume gateways to store data and other services. Configured Azure cloud services including Azure Firewalls, Azure IAM, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Blob Storage, Azure VMs, IIS, SQL Database, Azure Functions, and Azure Monitor. Proven experience in implementing MFA solutions in Azure AD with various methods such as hard tokens, soft tokens, and 3rd party MFA tools, providing flexibility and choice for users. Implemented security measures in Hashi Corp such as IAM roles and policies, encryption at rest and in transit, and AWS WAF rules. Azure Active Directory implementation to ensure seamless access management and compliance, enhancing organizational security and productivity." Maintenance of source code in Version control systems includes GitLab and GitHub. Automated weekly releases with Maven scripting to compile, debug Java code and placing builds into Nexus repository. Scanned/Analyzed the builds using the SonarQube for effective coding practices. Created CI/CD pipelines and setup auto trigger, auto build and auto deployment with the help of the CI/CD tool like Jenkins Integrated automated testing suites into CI/CD pipelines to validate software changes, ensuring code quality and minimizing production issues. Involved in designing and developing RESTful APIs and SOAP web services using Apache in AWS environments. Integrated OpenShift with CI/CD pipelines with jenkins to automate application builds, testing, and deployments, accelerating the software delivery process while ensuring consistency and reliability. 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. Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed & configured Kubernetes. Demonstrated exceptional organizational, planning, and time management skills to effectively manage concurrent priorities Setting up Azure infrastructure using terraform templates and deploying microservices to AKS and pushing the images to ACR using Azure DevOps. Responsible for setting up the Azure Kubernetes Service (AKS) to deploy spring applications, configure the Azure Container Registry (ACR) to store Docker Images and manage the Azure Kubernetes cluster. Implemented Kubernetes manifests, helm charts for deployment of microservices into Kubernetes clusters. Kubernetes was used to manage containerized applications, including nodes, configuration maps, selectors, services, and application containers delivered as pods. Experienced in implementing RBAC, pod security policies, and network policies for safe container deployments in Kubernetes. Created Terraform continuous build integration system and implemented the Disaster Recovery solution (Blue-Green Deployment) and automated the process with the Terraform Template. Exporters and integrations are configured to collect metrics from various AWS and Azure services, such as EC2, RDS, Azure VMs, Azure Functions, and Azure Monitor. Integrated Kafka with cloud-native monitoring tools like Prometheus and Grafana to collect and analyze metrics from Kafka clusters, ensuring optimal performance and reliability. Created custom Splunk queries and dashboards to monitor and troubleshoot specific AWS and Azure services, like EC2, RDS, Azure VMs, and Azure Functions. Environment: AWS (EC Route, EBS, Security Group, Auto Scaling, and RDS), Azure (Azure Firewalls, Azure IAM, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Blob Storage, Azure VMs, IIS, SQL Database, Azure Functions, and Azure Monitor) GIT, Docker, SonarQube, Maven, Jenkins, ANT, Python, Nagios, Datadog, Kafka, Cassandra DB, Terraform, Kubernetes, RBAC, HELM, Client: First horizon Bank, Memphis, TN Dec 2017 to April 2019 Role: Build & Release Engineer Responsibilities: Responsible for the management and continuous improvement of the release process for internal and external web applications. Collaborated with Architects, Systems, Network, Software and QA Engineers, and to continuously improve the efficiency and reliability of Build and Deployment processes to support all phases of development including production releases. Developed and implemented Software Release Management strategies for various applications according to the Agile process. Extensive experience orchestrating Agile Delivery, SAFe methodologies, and DevOps frameworks, coupled with a proven track record in successful Microservices deployment and meticulous release management." Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.xml. Worked in all areas of Jenkins setting up CI for new branches, build automation, plug-in management and securing Jenkins and setting up master. Deployed applications using Jenkins server and Troubleshoot build & release job failures, resolve, work with developers on the resolution. knowledgeable about Test-Driven Development (TDD) and its tools and scripts, which guarantees thorough test coverage and high-quality software. Integrated with leading CI servers and kept builds reproducible with exhaustive build information to track and protect all artifacts used by your CI build using Binary Repository Manager/ Nexus Build System. Maven was used to streamline build operations, and it was smoothly connected with Jenkins for continuous integration. Nexus was also used for efficient repository management, allowing for the exchange of snapshots and releases for internal projects. Managed Puppet classes, resources, packages, nodes, and other common tasks using Puppet console dashboard and live management. Wrote Puppet manifests for deploying, configuring, installing shield, and managing collected for metric collection and monitoring. Troubleshooting, event inspection and reporting of various Puppet issues and starting/restarting of Puppet enterprise services. Used LAMP (Linux, Apache, MySQL, PHP) stack in building some of the applications in Linux especially RedHat. Environment: SVN, Jenkins, Nexus, GIT, ANT, MAVEN, Puppet, Ansible, Python Scripts, Shell Scripts, Sonar, Red Hat, Splunk, LAMP (Linux, Apache, MySQL, PHP) Client: Accenture |Hyderabad, INDIA | July 2013 to Aug 2016 Role: QA/ Test Engineer Responsibilities: prepare and execute the test cases and test scenarios. Reporting defects in the Mercury quality center tool detect reporting tool. Used EMT (Enterprise Management tool) for telecom to manage data, debug scripts, and track defects. Prepared data compatible with SP console and runner scripts, debugged scripts, executed tests and reported defects. Used Java, SQL server 2000, and web logic. Using SoapUI, an open-source API testing tool, to test functionality, performance and security of both SOAP and RESTFUL web services. Created automated test scripts to check if the software works correctly, using widely used tools and frameworks. Integrate automate tests into continuous integration (CI) pipeline using tool Jenkins. ENVIRONMENT: Java, SQL server 2000, and web logic, SoapUI, (CI) pipeline, Jenkins, RESTFUL web services, EMT (Enterprise Management tool). Keywords: cprogramm cplusplus continuous integration continuous deployment quality analyst javascript sthree database active directory information technology trade national Idaho Tennessee