Ci Cd Azure Devops

SHALINI NALLURI

Senior Cloud DevOps Engineer

E-Mail: adzjdr@r.postjobfree.com

Phone: 347-***-****

LinkedIn: www.linkedin.com/in/n-shalini

Overall, 10 years of experience in the IT industry, focused on Senior Cloud DevOps Engineer/Site Reliability Engineer, System Administrator/Linux Administrator and Middleware Automation.

PROFESSIONAL SUMMARY

Experience in Cloud implementations [Aws, Azure, GCP] involving extensive work towards code compilation, packaging, building, debugging, automating, managing, tuning and deploying code across multiple environments yet flexible in multitasking when necessary. Proficiency in writing automation scripts to support infrastructure as code in AWS, Azure/Google Cloud Platform and Linux/Windows Administration.

Experienced in architecting and configuring public/private cloud infrastructures on AWS which include EC2, VPC, Elastic Load Balancers, IAM, Elastic Container Service (Docker Containers), EBS, EKS, S3, RDS, DynamoDB, Direct Connect, Route53, CloudWatch, Kinesis, CloudWatch, CloudTrail, CloudFormation.

Successfully automated CI/CD workflows using GitHub and Bitbucket pipelines, enabling smooth integration, automate testing, and reliable deployment of applications across different platforms.

Familiar with software development life cycles (SDLC), Agile, Scrum, Jira, and Waterfall methodologies.

Successfully transferred data from Datacenters to cloud using AWS Import/Export Snowball services.

Automated deployment of SaaS based application on cloud using Pivotal Cloud Foundry and AWS.

Manage Amazon Redshift clusters such as launching the cluster and specifying the node type as well.

Setup and build Aws infrastructure using various resources such as VPC, EC2, RDB, S3, IAM, EBS, Security Group, Auto- Scaling, SES, SNS and RDS in Cloud Formation JSON templates, Route53, Lambda.

Integrating Jenkins with AWS and OpenStack to automate instance launches.

Proficient in managing and deploying applications using OpenShift, leveraging its powerful container orchestration capabilities for streamlined development, testing, and deployment workflows.

Proficiently authored Ansible playbooks in YAML format, effectively automating complex configuration management tasks across diverse cloud platforms and infrastructure resources.

Proficient in automation tools such as Puppet, Terraform, Ansible, alongside deployment tools like Git and Bitbucket.

Expertise in using CloudFormation and Terraform for deploying to Cloud Infrastructure.

Proficiently managed containers through Docker, crafting Docker files, orchestrating automated Docker builds, and configuring Kubernetes deployments.

Proficiently utilized GitLab CI/CD pipelines to automate the build, testing, and deployment processes. Implemented version-controlled pipelines to ensure consistent and automated delivery across various environments.

Proficient in provisioning and managing AWS services and ARM Templates for Azure.

Experience in setting up and maintaining entire CI/CD pipeline using tools like Jenkins, Bamboo, Azure DevOps etc.

Proficient in Windows and Linux Administration including installation, configuration, and upgrades of various Linux distributions such as (RedHat, CentOS, Ubuntu). Experienced in developing scripts for build, deployment and maintenance utilizing tools like Jenkins, Docker, Maven, Python, ANT, Terraform and Ansible.

Expertise in Azure Cloud encompassing VM, Blob, AKS, ACR, Azure AD, VNet, Service Bus, Azure SQL, Cosmos DB.

Employed Golang for streamlined development and automation tasks, enhancing system performance and codebase.

Experience with Kubernetes providing consistent deployment environments and utilizing Azure DevOps for agile, automated development processes and also utilized Azure DevOps (formerly TFS) for development and collaboration.

Expertise in Azure DevOps for designing and implementing automated CI/CD pipelines across diverse environments, enabling agile development and safe, frequent code deployments with a focus on supporting AKS.

Engineered CI pipelines, managed VMs, Virtual Networks, Web Apps and SQL Server on Azure using ARM Templates and Azure DevOps CI/CD pipelines.

Effectively harnessed Grafana for dynamic, data-driven dashboards showcasing Prometheus metrics, enabling visual trend analysis, system health assessment and swift informed actions.

Well versed in using Azure Infrastructure as a Service (IaaS), Provisioning VMs, Virtual Networks, Deploying Web Apps, Microsoft SQL Server, using ARM Templates and Azure DevOps CI/CD pipelines.

Experience in Cloud Stack such as AWS (Cloud Formation) and VMware Stack.

Employed Ansible and Ansible Tower for automation and configuration management.

Demonstrated proficiency in crafting AMIs that leverage Elastic Load Balancer (ELB) and Auto Scaling. As Auto Scaling triggered the provisioning of new resources, they were automatically initialized with the Ansible Server.

Extensive experience with Docker image creation, Kubernetes and Ansible configuration management.

Experience in Designing, Installing and Implementing Ansible configuration management system.

Created tickets for bug stories and feature stories in Jira with co-ordination of QA/BA team respectively and issued it to developers to fix bugs and include necessary feature add.

Developed Docker files for containerized applications on managed Kubernetes services (EKS and AKS).

Installed and configured Nagios monitoring, Splunk and Datadog services on Unix servers, effectively ensuring comprehensive monitoring and logging capabilities. Proficient in using build tools like Ant, Maven, Artifactory, Nexus, Gradle for writing POM.XML build scripts, enhancing the development and deployment processes.

Expertly employed a range of SRE tools including Ansible, Terraform and Azure DevOps, to orchestrate infrastructure as code, facilitate seamless cloud provisioning and establish robust CI/CD pipelines, ensuring reliable and automated deployment, monitoring and management of complex cloud architectures.

Leveraged Bitbucket CI/CD pipelines for streamlined code integration and continuous delivery. Integrated with version control allowing automated build, test and deployment workflows for efficient software delivery.

Designed and developed continuous deployment pipelines (CI/CD) in Azure DevOps.

Implemented Continuous Delivery in a Microservice infrastructure with Amazon cloud, Docker and Kubernetes.

Extensive use of MAVEN and ANT as Build Tools for the build of deployable artifacts (war & jar) from source code.

TECHNICAL SKILLS

DevOps Tools

Git, Jenkins, Maven, Docker, Ansible, Chef, Puppet, Azure Repos, Azure Artifacts.

Cloud Platforms

Microsoft Azure, Aws Cloud, Google Cloud Platform.

AWS Services

EC2, VPC, RDS, IAM, CloudFormation, EBS, EKS, ECR, S3, ELB, Lambda, Auto Scaling, Cloud Trial, SQS, SNS, SWF, CloudWatch Logs.

Azure Services

VM, App Services, Key Vault, Function App, Blob Storage, Azure Active Directory (Azure AD), VNet, Service Bus, AKS, ACR, Azure SQL, Azure Cosmos DB.

Version Control Tools

Git, GitHub, GitLabs, GitOps, Bitbucket.

CI/CD

Jenkins, RunDeck, Azure DevOps, TeamCity, Bamboo, Travis CI, Gitlab CI, Circle CI, Azure Pipelines.

Databases

Oracle, MySQL, Cassandra, PostgreSQL, Cosmos DB, DynamoDB, MongoDB, RDS.

Configuration Management

Ansible, Puppet, Chef, SaltStack.

Container Platforms

Docker, Docker Swarm, Kubernetes, Helm, OpenShift, AWS ECS.

Monitoring And Logging Tools

Prometheus, Grafana, Nagios, Splunk, ELK, CloudTrail, CloudWatch, Azure Monitor, Log Analytics, New Relic, Zabbix, Graylog, Datadog, AppDynamics.

Languages

Python, Shell Scripting, Bash Scripting, TypeScript, Groovy, Perl.

IaaC

Cloud Formation, Terraform, Ansible, Puppet, ARM Templates, Chef.

Artifactory

JFrog and Nexus.

Code Scanning

SonarQube, JFrog Xray, ECR Inspector.

Web Servers

Nginx, Apache, Tomcat, WebLogic, WebSphere, JBoss.

Documentation

Confluence, Markdown, Read the Docs.

Operating Systems

Microsoft Windows XP/ 2000, iOS, Linux, Red Hat Enterprise Linux, CentOS, Ubuntu, UNIX.

Analytics

Redshift, Athena, EMR, Azure Data Lake Analytics, Azure Synapse Analytics.

Tracking Tools

Jira.

Build Tools

Maven, Ant, Gradle.

EDUCATION

Bachelor Of Technology in Computer Science.

CERTIFICATION

Certified Azure Administrator Associate.

Certified AWS Developer Associate.

Certified Kubernetes Administrator.

Certified Terraform Associate.

WORK EXPERIENCE

Client: United Healthcare, Richardson, TX.

Sr Cloud DevOps Engineer Jul 2022 to till date

Managed Azure Container Registry to store private Docker images which are deployed and Azure pipelines to build, test and deployments. Azure Monitor to collect metrics, logs and configured monitor to track performance and maintain security, also used Splunk tool to collect metrics, queries.

Configured Cloud Network Architecture using Azure Virtual Networks, VPN and Express Route to establish connectivity between on Premise and Cloud.

Worked on Serverless services, created and configured HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) which are also called as Azure DevOps Services.

Implemented a CI/CD pipeline using Azure DevOps in both Cloud and On-Premises with Git, MS Build, Docker, Maven along with Jenkins plugins.

Integrated Gitlab or Bitbucket pipelines with Azure-based monitoring tools like Prometheus and Grafana, allowing continuous monitoring and visualization of performance metrics for timely optimization and enhancement.

Hands on experience using Terraform along with packer to create custom machine images and automation tools like Ansible to install software's after the infrastructure is provisioned.

Handling escalated support tickets till closure for MS Azure IaaS platform.

Proficiently managed Azure Container Registry for private Docker image storage and employed Azure pipelines for building, testing, and deploying applications.

Proficiently harnessed GitHub, Gitlab or Bitbucket CI/CD pipelines to orchestrate seamless software deployment, leveraging version control, automated testing for efficient and consistent delivery across various stages.

Worked with Terraform for automating azure services and continuing to replace the rest of our infrastructure.

Created Ansible roles in YAML and defined tasks, variables, files, handlers and templates. Also configured the Ansible files for parallel deployment in Ansible for automating the continuous delivery process and used Ansible for configuring and managing multi-node configuration management over SSH and PowerShell.

Creating and maintaining containerized micro services and configuring/maintaining private container registry on Microsoft Azure for Hosting Images.

Implementing Azure Custom Policies, policies allow customers to define their own rules for using Azure resources.

Deploying Kubernetes (K8s) cluster with Azure Container Service (ACS) from Azure Cli, Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy.

Written Automation scripts in PowerShell, which make REST API’s calls to Azure DevOps and find users who have not accessed Azure DevOps for more than 90 days (Cost Optimization Project).

Leveraged Azure Kubernetes Service (AKS) to facilitate container orchestration, deployment and scaling of applications.

Extensive experience in configuring and optimizing OpenShift clusters, ensuring scalability, high availability, and effective resource utilization for containerized applications.

Excellent hands-on experience working with monitoring tools such as Nagios, Splunk, ELK and working with load balancing, Integrating and monitoring with Nagios and Splunk also checking the health of applications.

Created PowerShell scripts for automating web data extraction and routine tasks. Also, authored PowerShell runbooks, integrated with Azure DevOps and authenticated using Azure AD service principals for efficient deployment via CI/CD pipelines.

Utilized GitHub and Bitbucket pipelines to orchestrate automated build, testing and deployment processes, ensuring seamless integration and dependable delivery of applications to both Azure and Kubernetes environments.

Managed Kubernetes deployments, objects for high availability and scalability using horizontal pod scaler and

resources management.

Utilized Azure DNS zone for managing URLs and bought open networks DNS zone for applications.

Seamlessly integrated Prometheus to collect and manage metrics and logs from diverse Azure services and resources. This enabled comprehensive monitoring, aiding in identifying performance bottlenecks, anomalies and optimizing resource utilization.

Proficiently used service ticketing systems and implemented backup strategies to ensure efficient issue resolution and data protection.

Leveraged Databricks as a unified data platform for advanced data engineering and machine learning tasks. Integrated with various data sources and tools to streamline data pipelines, enhance data quality and drive insights.

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.

Created, managed and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration.

Utilized Kubernetes and Docker for the runtime environment for the Continuous Integration/Continuous Deployment system to build, test and deploy. Created Jenkins jobs to deploy applications to Kubernetes Cluster.

Used Helm charts to integrate applications with different ports, including service, deploy and ingress files in YAML.

Integrated EFK (Elasticsearch, FluentD, Kibana) stack as the logging solution for the deployed Kubernetes cluster.

Designed and Configured Azure Virtual Networks (V-Nets), Subnets, Azure Network Security Groups, DNS Settings, Security policies and Routing.

Collaborated on main web application development, including deployment over Azure cloud services using VS and PowerShell.

Worked on creating the Docker containers, Docker images, tagging and pushing the images and Docker consoles for managing the application life cycle and Deployed Docker Engines in Virtualized Platforms for containerization of multiple applications.

Employed Jenkins along with pipelines to facilitate the building of all microservices, which were subsequently directed to the Docker registry and subsequently deployed into Kubernetes.

Leveraged Jira and Confluence for tracking bugs and managing issues.

Integrated Git into Jenkins to automate the code check-out process used Jenkins for automating builds and automating deployments.

Utilized Grafana's interactive dashboards to visualize data collected by Prometheus and other monitoring tools. Created intuitive graphical representations, allowing for quick analysis, trend identification and informed decision-making for system optimization and performance enhancement.

Tested Splunk search strings & operational strings and used it as resource monitoring tool. Worked with administrators to ensure Splunk is actively and accurately running and monitoring on the current infrastructure implementation.

Setup Nginx Ingress controller to manage the ingress/egress routing rules for Kubernetes.

Environment: Azure, Terraform, Ansible, Docker, Kubernetes, DevOps, Jenkins, Git, Maven, Splunk, Nagios, Python Scripts, Kickstart, Grafana and Prometheus, Java/J2EE, Linux.

Client: United Healthcare, Irvine, CA

Role: Sr DevOps Engineer Oct 2021 to Jun 2022

Used Aws Route53 to route the traffic between different availability zones. Deployed and supported Mem- cache/Aws Elastic-Cache and then Configured Elastic Load Balancing (ELB) for routing traffic between zones.

Configured CI/CD pipeline in Jenkins to implement Continuous Integration and Continuous Delivery process, accommodated software teams with compilation and artifact deployment requests in an Aws cloud environment.

Used Ansible Playbooks to setup Continuous Delivery Pipeline. Deployed microservices, including provisioning Aws environments using Ansible Playbooks.

Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.

Design detailed Migration Plans for Workloads from any platform to AWS.

Utilize workload migration tools to AWS (i.e., Cloudscape, Zerto, Plate spin, etc.)

Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer (ELB) and AMIs, Auto-scaling to design cost effective, fault tolerant and highly available systems.

Created a continuous delivery CI pipeline using AWS Code Pipeline to automate builds via AWS Code Build.

Worked with Windows, Linux and AWS teams to resolve issues and plan for infrastructure changes.

Working closely with Cassandra loading activity on history load and incremental loads from Teradata and Oracle Databases and resolving loading issues and tuning the loader for optimal performance.

Launching EC2 instances and involved in AWS RDS, S3, Load Balancing, IAM, VPC, Cloud Formation, Lambda and Cloud Watch.

Implemented a production-ready, load-balanced, highly available, and fault-tolerant Kubernetes infrastructure using Rancher, kops, and EKS.

Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS).

Automated deployments and builds across diverse environments using the continuous integration (CI) tool Jenkins.

Integrated GitHub or Bitbucket CI/CD pipelines for automated software deployment and monitoring in AWS setting.

Integrated Prometheus with AWS services to collect and monitor metrics from various resources which include EC2 instances, RDS databases, S3 storage and CloudWatch. This comprehensive monitoring approach facilitated the proactive identification of performance bottlenecks and resource utilization issues.

Proficiently utilized Terraform to write templates for AWS infrastructure, playing a pivotal role in building and configuring staging and production environments. These templates enabled the efficient provisioning of resources, fostering scalability and consistency in the cloud setup.

Leveraged Grafana's integration with Prometheus to craft dynamic AWS metric dashboards, enabling real-time visualization and insights for efficient resource management.

Leveraged Terraform to streamline complex workload migration to AWS, enhancing precision through code-based infrastructure replication.

Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process.

Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and Ant.

Implemented cloud services IaaS, PaaS and SaaS which include Open stack, Docker and Open Shift.

Worked on NoSQL database DynamoDB to process large data documents.

Migrated the production SQL server schema to the new AWS RDS Aurora instance, including writing SQL queries and performing administration tasks to optimize and enhance database performance.

Implemented and sustained monitoring/alerts for production and corporate servers/storage via AWS CloudWatch.

Employed Ansible and Ansible Tower as powerful configuration management tools, streamlining routine tasks, expediting the deployment of crucial applications and effectively overseeing changes in a proactive manner.

Collaborated with teams to maintain and update Terraform codebases, ensuring accurate representation of infrastructure configurations.

Developing Docker images to support Development and Testing Teams and their pipelines distributed Jenkins, Selenium and JMeter images, Elastic search, Kibana and Log stash (ELK & EFK) etc.

Installed a Docker Registry for local uploading and downloading of Docker images, including images from Docker Hub.

Connected various data stores like S3, DynamoDB with time scheduling in Crawlers (AWS Glue) for determining schema for data and created workflows to manage jobs and crawlers (AWS Glue).

Utilized Jira and Confluence to track and manage bugs, concurrently creating comprehensive issue dashboards for efficient monitoring and resolution.

Environment: AWS, OpenStack, Docker, Jenkins, Linux, VMware, vCenter, vSphere and VMotion, RHEL, Satellite, Splunk

Open Shift, Artifactory, GitHub, SVN, EKS, Puppet Mcollective, Puppet Hiera, Nagios, Ruby, Python, LAMP, PowerShell,

Ubuntu, Cloud Formation, Apache, Terraform, Nginx.

Ameriprise Auto & Home Insurance, De Pere, WI.

Site Reliability Engineer Aug 2019 to Sept 2021

Prepared capacity and architecture plan to create the Azure Cloud Environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases.

Worked on Power Shell scripts to automate the Azure cloud system creation of Resource groups, Web Applications,

Azure Storage Blobs & Tables, firewall rules.

Collaborate to development of main Web Applications to provide invoicing emission services, Responsible of web application deployments over cloud services on Azure, using VS and PowerShell.

Proficiently configured Azure Load Balancer, Internal Load Balancer, Traffic Manager and Application Gateway. Additionally, created and configured Azure Cosmos DB, exposing the service as a Web API.

Used Azure DNS zone to maintain URLs. Configured the open network DNS zones for application.

Hands on experience on Backup and restore Azure services in Design and configure Azure Virtual Networks (Vets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.

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.

Worked on planning and deployment of self-service password reset functionality of Azure AD that reduces IT helpdesk cost.

Seamlessly integrated SRE principles into DevOps workflows, optimizing source code control, compilation and production release for enhanced software reliability.

Used AppDynamics for comprehensive app monitoring, providing real-time insights into performance, user experience, issue detection, and troubleshooting. Integrated it with Azure for seamless visibility and optimization.

Participated in SCM tool evaluation selection and implementation. Proactively identified, implemented process and other operational improvements for build/release/deployment.

Worked on Creating the AKS (Azure Kubernetes service) cluster and Developed Manifest files like Services, Deployments, Ingres etc.

Monitored the AKS cluster by using Grafana and Prometheus, setting up alerts based on threshold values.

Monitored application logs using Splunk and created custom dashboards to highlight critical incidents, enabling timely issue resolution.

Worked closely with multiple development and test teams to provide process design, management and support for source code control, code compilation, change management and production release management.

Experience with Linux systems, virtualization in a large-scale environment, experience with Linux Containers (LXC) and Docker.

Implemented application monitoring and logging strategies using Dynatrace, ensuring real-time insights into performance metrics, proactive issue identification and efficient troubleshooting.

Expertly managed IAM in Azure, fortifying secure cloud access for developers and groups in line with SRE's reliability focus.

Used Helm charts to integrate the application with different ports it contains service, deploy and ingress files in YAML.

Developed Splunk SPL queries, reports, and dashboards, while also tracking and monitoring Splunk performance issues and administering it.

Developing automation using Shell scripting, Linux- Creating and implementing application monitoring and logging strategies using tools like New Relic, Dynatrace.

Expertise in using the service now ticketing tool for monitoring the infrastructure alerts, warning and critical incidents.

Environment: Azure, Terraform, Docker, Kubernetes, Azure Pipelines, Ansible, JFrog, SonarQube, Maven, Azure Repos, SQL database, Arm Templates, Grafana, Prometheus, ELK, New relic, Nagios, Dynatrace, Groovy, Jenkins, Python, Azure Boards, VM, Veracode.

Truckstop, New Plymouth, Idaho, USA

DevOps Engineer May 2018 to July 2019

Worked in AWS environment, instrumental in utilizing Compute Services (EC2, ELB), Storage Services (S3, Glacier, Block Storage, Lifecycle Management policies), Cloud Formation, Lambda, VPC, RDS and Cloud Watch.

Migrated Linux environment to Aws by creating and executing a migration plan, deployed EC2 instances in VPC, configured security groups & NACL's, attached profiles and roles using AWS Cloud Formation templates.

Used Amazon Route53 to manage DNS zones globally & to give public DNS names to ELB's and Cloud Front for Content Delivery.

Experience in implementing AWS lambda to run servers without managing them and to trigger run code by S3, SNS.

Utilized GitLab CI/CD pipelines to automate code integration, deployment and monitoring within AWS ecosystems.

Utilized Prometheus to collect and store comprehensive metrics from AWS resources, including EC2 instances, ELBs, S3 and Lambda. This approach facilitated proactive monitoring, performance analysis and issue detection, contributing to efficient environment management.

Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with PowerShell to automate routine jobs.

Employed Kubernetes(K8s) to optimize AWS environment management, including compute(EC2), load balancing

(ELB), storage (S3, Glacier), serverless(Lambda) and more, enabling smoother software integration and automation.

Developed shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.

Designed Ansible playbooks for automated package installation, configuration changes and deployment tasks, including Python module development for Ansible customizations, file operations, permission adjustments and targeted folder creation.

Proficiently utilized Terraform to streamline the migration process, seamlessly transitioning a Linux environment to AWS. This involved creating and executing migration plans, provisioning EC2 instances, configuring security groups, and managing profiles and roles using AWS CloudFormation templates.

Utilized Kubernetes(K8s) to streamline containerized application orchestration, managing deployments, configurations and scalability for improved efficiency.

Integrated Grafana with Prometheus to create dynamic and customizable dashboards for visualizing AWS environment metrics. Grafana's interactive visualizations facilitated real-time monitoring and quick decision-making by providing a clear representation of resource health and performance.

Utilized Terraform to enhance AWS environment management, facilitating the configuration of compute services (EC2, ELB), storage services (S3, Glacier, Block Storage), CloudFormation, Lambda, VPC, RDS and CloudWatch. This enabled efficient software integration, automation and code release across various environments.

Used Ticketing tool JIRA to track defects and changes for change management, monitoring tools like New Relic and CloudWatch in different work environments in real and container workspace.

Developed enterprise patterns ensuring repeatability and consistency for deployment and configuration of systems, including pre-production testing, performance optimization, technical documentation and environment validation.

Environment: Python, AWS, Ansible, Docker, AWS CLI, Maven, Tomcat, Jenkins, New Relic, Nginx, Python Scripting.

Diebold Systems Private Limited, India.

Linux /System Administrator July 2013—Aug 2017

Created and maintained user accounts in Red Hat Enterprise Linux (RHEL)and other operating systems.

Troubleshooting and maintaining of TCP/IP, Apache HTTP/HTTPS, SMTP and DNS applications.

Configuration of NIS, DNS, NFS, SAMBA, SENDMAIL, LDAP, TCP/IP, Send Mail, FTP, Remote access Apache Services on Linux &Unix Environment.

Installation, integration and management of data backup/recovery solutions. Management and configuration of VM Ware virtual machines running Oracle/Sun Solaris X86/64, Red Hat Enterprise.

Created Bash/shell scripts to monitor system resources and system maintenance.

Create and Update Documentation for current Patching process. Coordinate with Lines of Business to schedule patching and also resolved configuration-based issues in coordination with infrastructure support teams.

Effectively oversaw and handled designated systems, efficiently addressing Splunk-related concerns and providing administrative support and also installed, configured and administered Web Servers like Apache HTTP Server, Apache Tomcat and Sun One Web Server for Web Logic plug-ins.

Implemented modules in SOA platform to support various integration styles which includes SOAP, REST and XML over HTTP and JSON.

Installed new/existing servers and configured services, settings, directories, storage, etc. in accordance with project/operational requirements.

Manages Patches configuration, version control, service pack and reviews connectivity issues regarding security.

Extensive experience in User Administration with creating users, groups and giving permissions. Also, created and maintained user accounts, profiles, security rights, disk space and process monitoring e.g., reset password and unlock locked user

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