Home

bharath chandra - devops engineer,cloud engineer

[email protected]

Location: Remote, Remote, USA

Relocation: yes

Visa: GC

IT professional having 10 years of rich experience in all the areas of Software development life cycle which are Included but not limited to automation, Implementation of CI/CD, System Administration, Cloud computing, Software Configuration Management (SCM), Containerization, orchestration, Scripting for various environments. Proficient in monitoring and troubleshooting OpenShift environments, utilizing built-in monitoring tools and logging mechanisms to identify and resolve performance issues and ensure optimal application performance. Experience in working with a wide range of Amazon Web Services (AWS) cloud services, including Autoscaling, AWS Storage, EC2, ELB, EBS, VPC, CloudFormation, Security Groups, ACL, Route 53, RDS, S3, IAM, and CloudWatch. Hands-on Experience Administering Microsoft Azure Services like Azure App Services, Azure SQL Database, Azure Active Directory, Azure Data Bricks, Azure Blob storage, Azure Functions, Virtual machines, Azure Fabric controller, Azure Data Factory, Azure web applications, Azure Service Bus, and Notification hub. Experience in designing Azure Resource Manager (ARM) Template to deploy multiple resources as well as in designing custom build steps using PowerShell and Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process. Developed serverless applications using GCP serverless computing services and managed and optimized relational databases on GCP managed database services. Created infrastructure as code using Terraform which includes defining the infrastructure components, modules, and dependencies needed to create a complete environment. Managed Kubernetes using Helm charts. Created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, and provided a set of configuration parameters to customize the deployment and managed releases of Helm packages. Developed custom Splunk searches, reports, and dashboards to meet specific business needs. Utilized Splunk's machine learning and predictive analytics capabilities to identify trends and patterns. Expertise lies in Microsoft Azure Integration, including Azure API Management, Azure LogicApp, Web API, Azure Functions, Service Bus, Event Grid, Event Hub, and Azure Kubernetes Service on Azure. Ensured high availability and global scalability with GCP load balancing services and processed and analyzed large datasets with GCP data processing and analytics services. Expertise in configuring the Monitoring and Alerting tools according to the requirements like Prometheus and Grafana, setting up alerts, and deploying multiple dashboards for individual applications in Kubernetes. Experience with using Chef to automate and manage AWS infrastructure, including EC2 instances, RDS databases, and S3 buckets. Proficient in writing Chef recipes and cookbooks to provision and configure AWS resources. Hands-on experience in developing complex models in Deep Learning for Computer Vision using TensorFlow on cloud infrastructure. Proficient in creating, developing, and testing environments for different applications by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform. Strong proficiency in Azure AD and Azure AD Connect and extensive experience with Exchange administration and management. Experienced in practical application of the GitOps methodology with Argo CD and integrated Git as the single source of truth for application configurations and utilized Argo CD to reconcile the desired state of applications with the state in the Git repository. Implemented Splunk's automation and orchestration capabilities to streamline workflows and reduce mean time to resolution (MTTR) Utilized Splunk's user behavior analytics (UBA) capabilities to detect and respond to insider threats and external attacks. Improving teamwork and output with VSTS, which makes Agile project management, version control, and problem tracking easier and Proficiency in setting up and refining VSTS build and release pipelines for dependability and scalability. Integrated Datadog with other tools and systems, such as AWS, Azure, and JIRA. Familiarity with GCP's developer tools, such as Cloud Debugger and Cloud Trace. Knowledge of GCP's compute and storage services, including App Engine, Compute Engine, and Cloud Storage. Designed and implemented data pipelines using AWS Glue and PySpark. Developed ETL processes to extract, transform, and load data from various sources to AWS datasets. Utilized PySpark to perform large-scale data processing and analysis on AWS Glue Optimized data pipeline performance and efficiency using Glue and PySpark best practices. Hands-on experience in developing and maintaining CI/CD pipelines using Jenkins and AWS cloud-native services such as CodeCommit, CodeBuild, CodePipeline, and CodeDeploy. Proficient in setting up Kubernetes (k8s) clusters for running microservices and automating Kubernetes cluster management using Ansible playbooks. Proficient in version control tools like Git, Subversion (SVN), and TFS, and experienced in branching, tagging, and maintaining versions across different platforms and SCM client tools like GitLab, GitHub, and Bitbucket. Knowledge of Chef best practices for security and compliance in an AWS environment and had experience with integrating Chef with other AWS tools and services, such as AWS CodePipeline and AWS CloudFormation. Optimized Datadog performance and scalability to handle large volumes of data. Implemented GitOps practices and tools to automate deployment and management of applications and utilized GitOps to streamline continuous integration and continuous deployment (CI/CD) pipelines. Skilled in scripting using Python, Ruby, and Shell Scripts for configuration management and maintaining enterprise applications. Experience with using Puppet to automate and manage Azure infrastructure, including virtual machines, storage accounts, and networks. Well-versed in using JIRA, Bugzilla and ServiceNow for ticketing and defect tracking, configuring workflows, customizations, and integrating Jenkins with JIRA, GitHub, and Maven. Worked on Production Support Troubleshooting Infra and Application Issues and monitor Application Performance Metrics using ELK Stack, Dynatrace. Certified in Microsoft Azure Administrator Associate. Certified in Kubernetes Administrator. Certified in AWS Developer Bachelors in engineering - Sri Chandrashekarendra Saraswathi Viswa Mahavidyalaya, Chennai (2013). Infrastructure as a service Amazon Web Services, Azure, GCP Version Control Tools and SCM GIT, SVN, GitHub, Azure Repos, Bitbucket, Gitlab Infrastructure as Code Terraform, AWS Cloud Formation, Arm Templates Containerization Docker, Kubernetes, Helm, Open-Shift, Docker Swarm Build Tools Gradle, Ant, Maven, MSBuild, SBT Continuous Integration Tools Jenkins/Hudson, GitHub Actions, Azure DevOps Pipelines, BuildBot, Bamboo, Sonar Web technologies HTML, XML, JAVA Script, jQuery, TypeScript Configuration Management Tools Ansible, Puppet, Chef. Tracking Tools Jira, Bugzilla, ServiceNow, Atlassian Databases Amazon RDS, PostgreSQL, DynamoDB, SQL Server, CosmosDB, My SQL DB, Oracle, Cassandra Monitoring Tools Nagios, Splunk, Grafana, Prometheus, Cloud Watch, Cloud Trail, Azure monitor, Kibana, Datadog, New relic, ELK Stack, Dynatrace Programming and Scripting Languages Groovy, Ruby, SHELL, POWERSHELL, Python, YAML, JSON, GoLang SDLC Methodologies Agile/Scrum, Kanban, Waterfall Web/ Application Servers Apache Tomcat, JBoss 4.x/5.x, WebSphere 8.5, WebLogic 10, Nginx. Artifactories Nexus, Artifactory, Docker Hub Virtualization Docker, Kubernetes, VMware Operating Systems Linux (Red Hat, CentOS, Ubuntu), Windows Client: Mastercard Company, O Fallon, Missouri Sep 2022 to Present Role: Sr. Cloud DevOps Engineer/SRE Created templates and jobs in Ansible Tower for deploying Java applications to servers in different environments (Dev, QA, Stage, and Production) and automated them for periodic releases. Implemented Ansible scripts for deploying applications to remote servers, ensuring zero-downtime releases across multiple backend systems. Led the successful migration of on-premises databases to PostgreSQL, utilizing custom migration scripts and automation tools. This migration project resulted in improved database performance, reduced operational costs, and enhanced scalability for the organization. Developed and maintained automated CI/CD pipeline for code deployment using Jenkins on AWS Lambda. Implemented data quality checks and data validation using Glue and PySpark. Integrated Glue and PySpark with other AWS services, such as S3, Redshift, and DynamoDB. Created CI/CD Pipelines using Jenkins and GitHub Actions for Application deployments and Infrastructure Deployments. Worked with cloud migration tools such as AWS Migration Hub, AWS Transfer for SFTP, and AWS Snowball to migrate data and applications. Utilized Ansible workflow templates for deploying configurations and performing smoke tests node by node. Conducted thorough testing and validation to ensure successful migration with minimal downtime. Hands-on experience with GCP's DevOps tools, such as Cloud Build and Cloud Deployment Manager. Experience with GCP's security and compliance features, including IAM and Cloud Security Command Center. Utilized PowerPoint's features to create interactive and dynamic reports, including animations, transitions, and links. Integrated Ansible Tower with GitHub and Vault for source code management and secret management. Integrated AWS Secrets Manager with Helm charts to manage sensitive data securely, such as API keys and database credentials. Created clear and concise status reports using PowerPoint to communicate project progress, milestones, and issues to stakeholders. Automated processes with PowerShell scripts. DNS changes, DC builds User management. Utilized Kubernetes for container orchestration, deploying Docker containerized applications on a cluster. Experience with using Datadog for monitoring and troubleshooting applications and infrastructure in AWS. Understanding of Datadog alerting and notification capabilities, including integrations with AWS services like SNS and SQS. Integrated Golang with other languages and technologies, such as SQL and NoSQL databases, and message queues Migrated Containers running at On-Prem OpenShift cluster to EKS Cluster by writing HELM Charts and Integrated with Jenkins and GitHub actions. Deployed and managed Splunk in AWS, including setup, configuration, and optimization. Utilized AWS services, such as EC2, S3, and Lambda, to integrate with Splunk. Configured Ansible to manage AWS environments and automate the build process for core Amazon Machine Images (AMIs) used by all application deployments, including Auto Scaling and CloudFormation scripts. Implemented Istio's security features, including authentication, authorization, and encryption, to protect sensitive data and applications. Configured and managed Istio's observability features, including metrics, logs, and traces, to monitor and troubleshoot the mesh. Developed and maintained complex CloudFormation templates to deploy and manage large-scale applications and infrastructure. Implemented best practices for CloudFormation template development, including modularity, reuse, and testing. Utilized Datadog's machine learning algorithms to identify root cause and detect issues. Implemented Datadog's automation capabilities to automate remediation and workflows. Utilized AWS CloudFormation templates for infrastructure-as-code (IaC) to create the necessary AWS resources for EKS and the Helm deployment. Worked with AWS CloudFormation templates to automate the provisioning and management of the PostgreSQL database infrastructure, facilitating infrastructure as code practices. Designed and deployed scalable and secure Kubernetes clusters on Google Kubernetes Engine (GKE) Managed and orchestrated containerized applications using GKE, including rolling updates, rollbacks, and canary deployments. Utilized PowerPoint's collaboration features to co-author and review reports with stakeholders. Implemented GKE networking and service discovery, including Ingress controllers and Service meshes. Designed and implemented Kibana dashboards to visualize and analyze log data from various sources Utilized Kibana's features to create custom charts, graphs, and maps to gain insights into system performance and behavior. Implemented security and compliance best practices for Datadog. Integrated AWS API Gateway with microservices, enabling RESTful APIs and secure integration with external applications and utilized AWS CloudFormation's nested stacks and drift detection features for efficient infrastructure management. Integrated AWS Elastic Container Service (ECS) with Docker containers for efficient resource utilization and implemented AWS Elastic Container Registry (ECR) for secure and scalable container image storage. Integrated GitOps with tools like Kubernetes, Helm, and Terraform and implemented GitOps security best practices, such as using SSH keys and access controls. Implemented Microservices on OpenShift based on Docker to achieve Continuous Delivery. Client: Dish, Plano, TX Apr 2021 to Aug 2022 Role: Cloud DevOps Engineer Participated in the migration of on-premises cloud storage to Microsoft Azure using Azure Site Recovery and Azure Backup, as well as deploying Azure IaaS virtual machines (VMs) and PaaS role instances into secure VNETs and subnets, and configured Azure Storage Monitor, snapshot, Load balancer etc. Setup Azure Active Directory Roles for Authentication and assigned roles for all resources in Azure and Authentication for Applications using Service Principal and Managed Identity. Proficiently configured and administered a diverse range of Azure services, including but not limited to Azure Web Apps, App Services, Application Insights, Application Gateway, DNS, Databricks, Traffic Manager, Backup, and Automation. Led the migration of an on-premises PostgreSQL database to Azure Database for PostgreSQL, utilizing Azure Database Migration Service (DMS) for a seamless and efficient data transfer. Implemented Helm charts for deploying microservices on Azure Kubernetes Service (AKS) clusters and created custom Helm charts to package and manage applications in the AKS environment efficiently. Hands-on expertise in implementing Azure infrastructure services such as Virtual Networks (VNet), Network Security Groups (NSGs), User-Defined Routes (UDRs), and Azure Firewall configurations to establish secure and scalable network architectures. Utilized Azure Key Vault integration with Helm charts for secure management of sensitive configuration data and secrets and automated the deployment process using Azure Pipelines, integrating Helm charts and Kubernetes manifests for streamlined releases. Implemented HTTPS Ingress controller and use TLS certificate on AKS to provide reverse proxy, configurable traffic routing for individual Kubernetes services. Responsible to setup Self Hosted Build Agents for Azure DevOps Pipelines in Azure VNET, do upgradation. Set up Splunk in Azure, including deployment, configuration, and scaling and utilized Azure services, such as Azure Functions and Azure Storage, to integrate with Splunk. Installed and configured Prometheus and Grafana for AKS cluster monitoring and configured metric alerts. Implemented robust and fault-tolerant APIs using Golang's net and http packages. Utilized Golang's strong type system and error handling mechanisms to write clean and reliable code. Worked with Golang's rich ecosystem, including popular libraries and frameworks like Evel, Gorm, and Revel. Developed cloud-native applications using Golang's native support for cloud technologies like Kubernetes and Docker. Utilized Datadog's machine learning and AI capabilities to identify trends and patterns in data. Provided training and support to junior team members on SAP BASIS and ARM concepts and tools. Experience in working with End-to-End Test cases of Terraform using Terratest and Terrascan for detecting vulnerabilities. Migrated Containers running on OpenShift (3.9) On-Prem Clusters to AKS Public Cloud and have implemented CI/CD pipelines using OpenShift's integrated Jenkins, Git, and automation tools, streamlining the software delivery process and enabling rapid and frequent deployments. Used Elastic, Logstash, Kibana (ELK) for monitoring purposes for LOG analytics and Application monitoring and integrated this with Azure for security purpose we use search guard to protect the logs. Leveraged Python's extensive libraries, including Pandas and NumPy, for data manipulation and analysis tasks. Managed and maintained SAP BASIS systems (non-HANA), ensuring optimal performance, security, and stability. Utilized Azure Storage and Azure Cosmos DB for data storage and management in .NET applications. Worked with RedHat OpenShift Container Platform for Docker and Kubernetes, used Kubernetes to manage containerized applications using its nodes, ConfigMaps, node-selector, Services and deployed application containers as Pods. Optimized OpenStack performance and troubleshot issues using monitoring tools like Prometheus and Grafana. Client: United Airlines, Chicago, IL Nov 2019 to Mar 2021 Role: Site Reliability Engineer. Worked on different Azure Service like 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 DB. Responsible for creating, deploying, and managing Azure App Services, including Web Apps, API Apps. Implemented best practices for security, compliance, and governance in GCP, utilizing IAM, VPCs, Firewall rules, and encryption mechanisms to protect sensitive data and ensure regulatory compliance. Setting up CI/CD pipeline for Build and deployment process for Azure app services with Slots. Terraform Modules for entire 3-Tier Architecture resource deployment into Azure. Utilized Ansible Tower to orchestrate the deployment of multi-tier applications across development, testing, and production environments. Developed playbooks and roles to ensure consistent and reliable application deployments with minimal downtime. Monitoring and troubleshooting Azure App Services using Azure Monitor / Application Insights tool. Created Terraform templates for provisioning Virtual Networks, Subnets, VM Scale sets, load balancers, App services, AKS cluster. Utilized ARM to automate deployment, testing, and validation of SAP applications and configurations. Continuously monitored and optimized GCP infrastructure, leveraging monitoring and logging tools like Stackdriver or Cloud Monitoring, and making recommendations for cost optimization, performance enhancement, and reliability. Deployed .NET, Python and Java Applications to AKS Cluster and deployed stateful applications by setting up persistent volumes and deployed Redis Cache Implemented Azure-based monitoring and logging for .NET applications using Azure Monitor and Azure Log Analytics. Worked with Shared Templates in Azure DevOps Pipelines and configured multiple CI/CD Pipelines from scratch using YAML. Containerized applications by writing Dockerfiles and write CI/CD Pipeline and HELM Charts for Deployments. Responsible for Managing and Provisioning Kafka Cluster, Namespaces and Topics into Azure VM s Ability to use Puppet to manage and deploy Azure applications, including web apps and container. And also had knowledge of Puppet best practices for security and compliance in an Azure environment. Experience with integrating Puppet with other Azure tools and services, such as Azure DevOps and Azure App Service. Worked Azure Kubernetes Service (AKS) to deploy a managed Kubernetes cluster in Azure and created an AKS cluster using terraform. Utilized Python to integrate with monitoring systems and APIs, enabling real-time monitoring and alerting functionalities and developed custom monitoring scripts and used Python libraries like Prometheus and Grafana to visualize and analyze system metrics. Installed and configured Prometheus and Grafana for AKS cluster monitoring and configured metric alerts. Troubleshooting and monitoring AKS cluster using Prometheus and Grafana Implementing a Continuous Delivery pipeline with Docker, Jenkins, and GitHub. Planning and developing automated modules for Ansible infrastructure, infrastructure maintenance, installation, and deployment automation. Written Ansible playbooks to deploy services in remote servers by Integrating with Jenkins Worked with containers, Deployment, Services, Replication Controller, Replica sets, Auto-scaling, rolling update and blue/green deployment. 24/7 on call production support. Implemented ELK-based monitoring and analytics for Azure Kubernetes Service (AKS) and Azure App Service Worked on Production Support Troubleshooting Infra and Application Issues and monitor Application Performance Metrics using elastic, logstash, kibana(ELK) Stack. Client: Paul J. Ford, Columbus, OH March 2018 to Oct 2019 Role: Build & Release Engineer Responsible for Build and Deployment of the java applications on different environments like Dev/QA & Production. Involved in Installing Jenkins on a Linux machine and created a master and slave configuration to implement multiple parallel builds through a build farm. Used Jenkins, Build forge for Continuous Integration and deployment into Tomcat Application Server. Installing, configuring, and administering Jenkins CI tool on Linux machines. Application installation and troubleshooting for Solaris, Red Hat Linux, and CentOS. Designing, Administration and troubleshooting database servers like MySQL 5.7, MySQL 5.6, MySQL 5.5 Wrote puppet modules for the Tomcat/Apache/Splunk forwarder services in our distributed infrastructure. Familiarity with Chef's AWS-specific features, such as AWS SDK. Ability to use Chef to manage and deploy AWS applications, including containerized applications with Amazon ECS. Administered Linux Servers Linux (Red hat RHEL 3/4/5) for several functions including managing Apache/Tomcat server, mail server, MySQL database and firewalls in both development and production. Created monitors, alarms, and notifications for EC2 hosts using CloudWatch. Worked on Cloud automation using AWS Cloud Formation templates. Ability to design and implement scalable, secure, and efficient cloud infrastructure using CDK. Experience with migrating existing infrastructure to CDK or converting existing CloudFormation templates to CDK. Used OpenStack and AWS cloud services to launch Linux and windows machines, created security groups and written basic PowerShell scripts to take backups and mount network shared drives. Responsible for Installation, Configuration Management, Maintenance and Systems Development of Red Hat Linux, Oracle Enterprise Linux / UNIX Systems. Designed Puppet Modules to manage configurations and automate installation process. Implementing a Continuous Delivery framework using Jenkins, Puppet, Maven & Nexus in Linux environment. Conducted Splunk training and mentoring for junior team members Participated in Splunk community forums and events to stay up-to-date with the latest trends and best practices Assisted the development team in integrating DynamoDB with the application code by utilizing serverless architecture with AWS Lambda and API Gateway. Used JIRA custom workflows to track issues and JBoss application server to deploy the application. Maintained all the Red hat servers Linux entitled with the latest subscriptions and also created Instances on OpenStack. Performing server s health checks on daily basis, by logging into Unix system and monitoring logs, and processes. Client: Dhunis Technologies Pvt Ltd, Visakhapatnam, India May 2013 to May 2017 Role: Linux Administrator Installed, Configurator and Managed RedHat Enterprise Linux 5.x. Involved in Installing, configuring, and maintaining application Servers like WebSphere and Web servers like Web Logic, Apache, HTTP and Tomcat on UNIX and Linux. Managed users, groups, and permissions configured LDAP and given SUDO Access in test and development servers and allowed passwordless logins for authorized users on servers. Installed and upgraded packages on Red Hat Linux servers through YUM and RPM tools. Responsible for Oracle database security and patching, Oracle database capacity analysis and planning. Installing Red Hat Linux using kick-start and applying security policies for hardening the server based on the company policies. Hands-on experience in server builds, migrations such as OS migrations, Application migrations, and Storage migrations. Involved in developing dynamic web-based user interfaces using HTML and JavaScript. Installing and configuring SSH (Secure Shell) encryption to access securely on Ubuntu and Red hat Linux. Keywords: continuous integration continuous deployment quality analyst artificial intelligence sthree database active directory information technology Colorado Illinois Ohio Texas