Santosh Vakiti

Client: Heritage Plus/Aqua quick Ship/Heritage Mobile/Grids/Comm quotes/HIPS/ Magento

As a Principal Engineer/Lead Cloud SRE utilizing TOGAF Architecture & Methodology for application workload design, plan implementation, reliability and manage an organization's GCP, Azure cloud computing strategy for E-commerce Applications in leveraging cloud technologies to achieve business objectives, improve operational efficiency, and drive innovation.

· Architect, Design, implement engineer scalable, secure, and high-availability infrastructure solutions on Google Cloud Platform, Azure.

· Assess existing infrastructure, define cloud strategies, and create roadmaps for Azure, Google Cloud Platformadoption.

· Experience in Azure Bicep Infrastructure-as-Codeto implement to build Azure Infrastructure.

· Developed Bicep Module for a multi-tier web application, automating the deployment of all necessary Azure resources, including web apps, databases, and networking components.

· Developed a Bicep module for deploying a highly available Kubernetes cluster on Azure, incorporating best practices for security and scalability.

· Design & Orchestrate the Generative AI Ollama Workloads to deploy on to AKS GPU Cluster.

· Automated infrastructure provisioning and management using Infrastructure-as-Code (IAC) tools like Terraform, Bicep integrated CI/CD pipelines thru Azure DevOps, GitHub Actions and container orchestration solutions.

· Implemented network architecture, including VPCs, subnets, firewalls, and hybrid cloud connectivity.

· Experience in working with AKS, Istio, GKE, Kubernetes, Anthos and Terraform, Grafana, Prometheus

· Maintain documentation of architecture designs, standards, and operating procedures.

· Expertise in Google Cloud Platform infrastructure services, including Compute Engine, Kubernetes Engine, VPC, Cloud Load Balancing, and Cloud Storage, pub/sub, cloud run.

· Expertise in Azure Clod infrastructure services, including VM, Function App, Kubernetes, Load balancer, Front-door, webapps, API Management.

· Developing and maintaining the system and its services, ensuring system scaling, and identifying and implementing preventive measures.

· Expertise in configuring, setup, integrate observability tools for alerting, monitoring solutions through new relic.

· Optimize infrastructure for performance, cost-efficiency, and scalability.

· Troubleshoot and resolve complex infrastructure issues in production and staging environments

· Proven experience in designing and implementing hybrid and multi-cloud environments.

· Strong analytical and problem-solving skills for cloud infrastructure challenges.

• GPC environment is deployed across multi-cloud platform AWS, AZURE, GCP, using IAC TERRAFORM modules its retail store & e-commerce online portal for selling all auto parts to business-to-business & business-to-customers, I have supported different customer facing applications
• Architect, Design application patterns and architectures and trade-offs based on design decisions for cloud Infrastructure
• Expertise in Google Kubernetes Engine (GKE) and Kubernetes administration, google big query
• Expertise in Google cloud run, GLB, ILB, cloud schedulers, monitoring
• Secret manager, SQL clusters, pub sub (Kafka model) using terraform
• Expertise in Cloudflare administration for apps security, DNS, rate limiting, caching, worker, zones
• Expertise in developing Automated builds and deployment, Azure DevOps pipelines for CI/CD
• Expertise in customized synthetic monitoring, dashboards and generating reports
• Expertise in Splunk & New relic APM for Alerting monitoring, traces, errors, latency, CPU, memory
• Expertise in AZURE BICEP IAC for Provisioning PAAS, SAAS, AKS – AZURE KUBERNETES SERVICE, AZURE VMS, workspace, Function App, Webapp, Application Gateway, APIM, ServiceBus, log analytics
• Developed and maintained reusable Bicep modules for common infrastructure components, improving deployment consistency
• Expertise in Configuration of Jenkins, GitHub action runners (GHA) for CI/CD, terraform modules deployments, Application build & release
• Expertise in Azure Devops (ADO) CICD was used to deploy the azure workloads on to Azure VMs, Azure Kubernetes services
• Built self-service portal using Python for automation
• Expertise in AWS EC2, AKS – Amazon Kubernetes Services, lambda, S3, ELK Stack, Prometheus, Grafana
• Configured data pipelines for QLIK ATTUNITY, ETL, pyspark thru EMR clusters to process the job
• Expertise in Infrastructure as a Code – Terraform for building the resources thru pipeline
• Managed data workflow using Collibra to BI tool
• Production Supported Java spring boot, react UI mobile applications, Atlas Mongo dB & DR setup.

• Expertise Architected CI\CD build, release and deploy process using AWS, cloud formation, Ec2, DB, S3, Load balancer, DevOps, Jenkins, Kubernetes, Docker, Terraform
• Deployed & configured Istio service-mesh on EKS clusters
• Expertise in Spinnaker Open source to deploy the resources into the AWS cloud
• Configured spinnaker to deploy the Application Helm charts
• Deployed & automated Applications deployment using Gitops Tekton Pipelines
• Extensive experience provisioning and managing AWS resources EKS, Step Functions, networks, firewalls, service accounts, iam etc
• Expertise in Ansible, Ansible tower for Setup & Deploy the Application deployment
• Expertise in writing the Ansible playbooks, modules, roles for App/Server configuration
• Monitoring of apps, servers using APM (Application Performance Monitoring) tools like Splunk custom monitoring using Prometheus instrumentation
• Expertise in APM Datadog in integration with AWS for alerting & monitoring
• Developed & configured CI/CD Automation for Java Spring boot, Nodejs, Angular Applications
• Terraform to deploy EKS Cluster, node pools, firewall rules, VPN, Load balancer, iam permissions, service
• Accounts etc
• Experienced in snowflake deployments, ddl, replication setup, share, warehouse
• Isolating services and allowing access to services using Istio Service Mesh, automate Istio configuration using
• Helm Charts
• Build infrastructure resources with terraform & using Cloud formation Template
• Deployed lambdas to automate end-to-end using steps functions to invoke lambdas
• Deployed & Managed EMR Clusters thru CFT for spark jobs
• Deployed & Managed EKS Clusters thru CFT for spark jobs
• Build & deployed AWS STEP FUNCTIONS to automate Spark jobs, snowflake, AMI Refresh
• End to end experience on integrating DevSecOps tools such as SonarQube, Nexus, Fortify and other similar tools in CI / CD pipeline
• Experience of deploying APIs and microservices into Docker or Kubernetes clusters using DevSecOps Pipelines
• Experience of CloudFormation, Terraform and Ansible for infra build and configuration
• Experience of AWS Cloud Platform (EC2, S3, RDS, VPC, CloudTrail, CloudFront, Lambda, EKS, ECS, etc.)

• Expertise Architected CI\CD build, release and deploy process using IBM Cloud, AWS, Azure Cloud, Azure DevOps, Azure, Jenkins, Cloud bees, Kubernetes, Docker, Terraform, Bicep
• Expertise on Architect, design, configure Azure VM, Azure Kubernetes Service using Azure BICEP DSL
• Expertise on Azure DevOps Pipelines for CI/CD app deployment, Infrastructure deployment
• Expertise on Architect, design, configure of RED HAT OPENSHIFT Clusters, build, deploy using Jenkins/ArgoCD
• Implemented Istio Service Mesh on Kubernetes Cluster
• Architected CI\CD build, release and deploy process using Azure DevOps
• Designed and implemented continuous delivery pipelines that serve the purpose of provisioning and operating
• Expertise in Groovy Scripting for CI/CD pipelines in Jenkins
• Expertise in Jboss setup on platform for hosting and running enterprise level Java Application
• Expertise in Java Spring boot pom.xml
• Experience in Dynatrace for monitoring the Kubernetes workloads on AWS, AZURE setting alerts, traces
• Client test as well as production environments for AWS, AZURE
• Experience managing, developing and building CI/CD pipelines, including Check code quality Unit, Static Code Analysis, integration, Smoke Tests and functional tests implementation
• Expertise using /adopting the IBM Rational Team Concert (RTC) integrating with Jenkins CI/CD for Continuous Integration & continuous delivery
• Worked Rational Team Concert (RTC) tool for source code management (SCM) Mainframe artifacts and Mainframe build for code versioning, as code checks in Build triggers, covers all unit test case as defined in RTC
• Designed, configured and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Compute, Web & Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), focusing on high - availability, fault tolerance, and auto-scaling
• Configured SQL Server Master Data Services (MDS) in Windows Azure IaaS
• Manage different AZURE environment for provisioning of Linux servers and services executed by the
• Managed local deployment in Kubernetes creating local clusters and deploying application containers
• Responsible for Azure DevOps, VSTS administration
• Designed, configured and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack
• (Including Compute, Web, Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), focusing on high - availability, fault tolerance, and auto-scaling
• Developed and managed CI/CD process for different types of application and automated Continuous Deployment
• Creating and managing a Windows/Linux VM and disk in Azure cloud
• Configured Datadog for pull in events, derive metrics from continuous integration pipelines, and correlated this information with real-time data from their entire stack in Datadog
• Integrated Azure DevOps for JAVA, .NET, C++
• DATASTAGE, BPM
• IBM IKS Build up infrastructure for customers, automate the cluster
• Worked on AWS EC2 Instances creation, setting up AWS VPC, launching AWS EC2 instances different kind of private and public subnets based on the requirements for each of the applications
• Worked on AWS Auto Scaling for providing high availability of applications and EC2 instances based on the load of applications by using AWS CloudWatch
• Managed AWS infrastructure provisioning (S3, ELB, EC2, RDS, Route 53, IAM, security groups - CIDR's, VPC, NAT) and deployment and EC2 Installs with CentOS, Ubuntu and RHEL 6
• Expertise in VMware Esxi clusters, VSan storage, 5.0 & Storage Vmotion, migration for storage refresh
• Expertise in Amazon AWS Cloud Administration which includes services: EC2, CloudWatch, S3, EBS, VPC, RDS, ELB, Route 53, SNS, SQS, Lambda, DynamoDB, Auto Scaling, Security Groups, ECS, Kinesis, RedShift and CloudFormation
• Designed and deployed AWS solutions using EC2, S3, RDS, EBS, Elastic load Balancer (ELB), Auto-scaling groups, Opsworks
• Build & deployed applications on PCF (pivotal cloud foundry)
• Build CI/CD pipelines for application and service delivery into Cloud Foundry via Jenkins – build and release with Git and JFrog Artifactory
• Worked on Chef extensively for deployment of AWS EC2 instances, creating custom scripts and managing changes through chef server on its clients
• Used Java fundamentals like parallel streams and filters through lambda expressions to handle searching
• Involved in deploying the content Cloud platform on Amazon AWS using EC2, S3, and EBS
• Evaluate Chef and Puppet framework and tools to automate the Cloud deployment and operations
• Create AWS instances via Jenkins with EC2 plugin and integrated nodes in Chef via knife command line utility
• Designed and implemented continuous delivery pipelines that serve the purpose of provisioning and operating client test as well as production environments
• Experience managing, developing and building CI/CD pipelines, including Check code quality Unit, Static Code Analysis, integration, Smoke Tests and functional tests implementation
• Managed local deployment in Kubernetes creating local clusters and deploying application containers
• Responsible for Azure DevOps, VSTS administration
• Worked on Gradle, Maven build tools, Smoke testing and Static Code Analysis using SonarQube, Cobertura, JaCoCo, Check style and Checkmarks
• Deployed Java Spring Boot Microservices & .Net Microservices on to Kubernetes cluster using CI/CD
• Implemented & configured COSMOS DB, Azure SQL as High availability between 2 regions
• Provided policy templates, policy definitions and policy fragments, including complex policy
• Expressions, integrations with Service Bus/LogicApps
• Azure Active Directory basics: Azure AD authentication, Users and groups, Roles
• Created and configured cloud infrastructure to support Kubernetes
• Worked on creating infrastructure as code using Terraform modules to launch instances in Azure & automated process of creation of resources is Azure using Terraform
• Create a custom image of an Azure VM with Azure PowerShell and create a VM scale set and deploy a high available app on Windows with Azure PowerShell
• Using the ARM declarative template to deploy, manage and redeploy the infrastructure
• Experience with Configuration Management tools like Terraform
• Experience in migrating On-premises machine to Azure cloud
• Experience with Container orchestration using Docker and Kubernetes
• Configure Azure auto scalable (VMSS) and highly available (availability set) virtual machines with load balancer / application gateway for middleware applications deployment
• Responsible for the weekly Release deployments to QA, UAT and Prod Environments
• Developed installer scripts using Python and UNIX for various products to be hosted on
• Environment: Azure Cloud, Terraform, ARM Templates, Kubernetes, Azure VM Scale Set, Network Security, .Net, Windows servers, Azure Repos, Flyway, Jacoco, Smoke Testing, Azure SQL, Azure function app, Azure Cloud services, Java, Azure DevOps, DataDog, Docker, PYTHON, Confluence, Maven, Splunk.

• Design CI/CD build release using Azure, Jenkins, Cloud bees, Kubernetes, Docker
• Expertise working with on-premises Rancher Kubernetes cluster & cloud aks
• Developed and implemented Software Release Management strategies for various Java Spring boot, microservices applications according to the agile process
• Installed, Configured and Administered Jenkins/Cloud bees as a continuous integration tool on Kubernetes
• Deployed Applications on Kubernetes using ci/cd pipeline with helm
• Created customized immutable Docker image file for Deployment
• Experience with deploying applications on pivotal cloud foundry
• Expertise with WebSphere Liberty, Tomcat, JBOSS ND
• Expertise in Containers and Container orchestration Kubernetes platforms such as OpenShift Rancher
• Experience integrating Artifactory for images, 3rd party libraries and other artifacts
• Experience with script languages such as Groovy, Python, Shell, Ruby
• Experience with Linux, Solaris and Windows operating systems
• Installed pivotal cloud foundry (PCF) on instances to manage the containers
• Used Kubernetes to virtualize the deployment and push the code to instances cloud using PCF
• Experience in deployment of PAAS solutions using pivotal cloud foundry for new environments
• Deployed stateless microservices applications.

• Architected CI\CD build, release and deploy process using Azure DevOps on AKS
• Designed and implemented continuous delivery pipelines that serve the purpose of provisioning and operating client tests as well as production environments
• Experience managing, developing and building CI/CD pipelines, including Check code quality Unit, Static Code Analysis, integration, Smoke Tests and functional tests implementation
• Experience with Linux, Solaris and Windows operating systems
• Expertise with on-premises java application on Servers with WebSphere Liberty, Tomcat
• Designed, configured, and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Compute, Web & Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), focusing on high - availability, fault tolerance, and auto-scaling
• Configured SQL Server Master Data Services (MDS) in Windows Azure IaaS
• Configured & deployed Azure data bricks cluster
• Expertise with using Liquibase for SQL Database pipeline integration for running datical scripts
• Manage different AZURE environment for provisioning of Linux servers and services executed by the
• Managed local deployment in Kubernetes creating local clusters and deploying application containers
• Responsible for Azure DevOps, VSTS administration
• Designed, configured and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Compute, Web, Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), focusing on high - availability, fault tolerance, and auto-scaling
• Developed and managed CI/CD process for different types of application and automated Continuous Deployment
• Creating and managing a Windows/Linux VM and disk in Azure cloud
• Configured Datadog for pull in events, derive metrics from continuous integration pipelines, and correlated this information with real-time data from their entire stack in Datadog
• Integrated Azure DevOps with Datadog for monitoring this activity in context with application performance data
• Provided policy templates, policy definitions and policy fragments, including complex policy expressions, integrations with Service Bus/LogicApps
• Azure Active Directory basics: Azure AD authentication, Users and groups, Roles
• Created and configured cloud infrastructure to support Kubernetes
• Automating configuration of VM using custom script extension
• Create a custom image of an Azure VM with Azure PowerShell and create a VM scale set and deploy a high available app on Windows with Azure PowerShell
• Experience in load balance Windows VM in Azure to create high available application with Azure PowerShell and manage Azure Virtual Network for Windows VM with Azure PowerShell
• Experience in Backup and restore files for Windows VM in Azure cloud
• Apply policies to limit the location for all resources/SKU for VM etc
• Lock the resources from being accidentally deleting or modifying
• Tag the resources to logically organize them
• Manage windows update by assessing, scheduling and then review deployment
• Monitoring the security center for fixing the configuration health issues of VM's and security threats
• Using the ARM declarative template to deploy, manage and redeploy the infrastructure
• Experience with Configuration Management tools like Terraform
• Experience in migrating On-premises machine to Azure cloud
• Experience with the Android Open-Source Project (AOSP) platform build system
• Experience building Unity, Unreal, iOS, and Android applications with required tools for build and testing, deploying
• Deploy application code using CI/CD pipeline with Azure DevOps in Azure cloud, scale VM build automation using Azure DevOps in azure VM agent plug-ins
• Experience with Container orchestration using Docker and Kubernetes
• Creating infrastructure from scratch by implementing Hyper-V server, installing VM's, creating network, domain and then joining the workstation to the domain
• Managing Windows 2012 servers, troubleshooting IP issues and working with different support teams
• Using Power shell to write, debug scripts to automate the processes and do migration of VM, involving copying and creating of VHDS
• Managing day to day activity of the cloud environment, supporting development teams with their requirements
• Creating Labs, Virtual Machines along with setting up policies and using Formulas and Custom Images to deploy the network
• Worked on Azure SQL, SQL Databases, SQL Scripts, creating bacpak files and Migrating Database Schemas using Flyway tool
• Worked on creating infrastructure as code using Terraform modules to launch instances in Azure & automated process of creation of resources is Azure using Terraform
• Developed installer scripts using Python and UNIX for various products to be hosted on Application Servers
• Experience in Implementing Organization DevOps strategy in Azure Cloud
• Developed and implemented the software release management for the release of web applications
• Worked on Gradle, Maven build tools, Smoke testing and Static Code Analysis using SonarQube, Cobertura, Jacoco, Check style and Check Marx
• Setting up DataDog monitoring agents to various environments
• Automate Infrastructure and application deployments through CI/CD pipeline
• Web applications deployment on Azure cloud, fully automated through Azure DevOps pipelines
• Lift and shift migration of VMWare ESXi virtual machines from on-premises to Azure through Azure Migrate project and ASR (Azure site recovery)
• Implemented SSO and Azure Active Directory AAD with role based for Azure Applications
• Experience ein LDAP, TCP/IP, SSL
• Design Automation solution for Azure environment using ARM template
• Configure Azure auto scalable (VMSS) and highly available (availability set) virtual machines with load balancer / application gateway for middleware applications deployment
• Responsible for the weekly Release deployments to QA, UAT and Prod Environments
• Experience in creating every week release notes in Azure wiki.

• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto Scaling Groups, Optimized volumes, Cloud Formation and Lambda
• Expertise in Cloud-based services and virtualization technologies Rackspace
• Experience with cloud IaaS and PaaS platforms (AWS, Rackspace)
• Created Amazon S3 buckets to keep the web app files and the Cloud Formation templates
• Developed and implemented Software Release Management strategies for various applications according to the agile process
• Installed, Configured and Administered Jenkins as a continuous integration tool
• Developed build and deployment scripts using Maven as build tool in Jenkins to move from one environment to other environments
• Create and configured the continuous delivery pipelines for deploying microservices using Jenkins CI server
• Build microservices for the delivery of software products across the enterprise
• Developed automation framework for Application Deployments to the cloud environments
• Experience with Terraform to build infrastructure as a code
• Deployed mircoservices2, including provisioning AWS environments using Ansible Playbooks
• Provisioned load balancer, auto-scaling group and launch configuration for microservice using Ansible
• Used Ansible playbooks to setup Continuous Delivery pipeline
• This primarily consists of a Jenkins and Sonar server, the infrastructure to run these packages and various supporting software components such as Maven, etc
• Experience in writing playbooks for Ansible and deploying applications using Ansible
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible playbooks and has integrated Ansible with Run deck and Jenkins
• Implemented Ansible to manage all existing servers and automate the build/configuration of new servers
• Developed an Ansible role for Zabbix-agent which will be integrated into the to the CICD pipeline
• Responsible for on boarding Application teams to build and deploy their code using GitHub Jenkins, Nexus and Ansible
• Developed Ansible playbooks to install and configure Apache, Tomcat, Jenkins, WebLogic for deployment automation
• Configured Docker container for branching purposes
• Automated the cloud deployments using Ansible, Python and AWS Cloud Formation Templates
• Wrote all the PowerShell logic that was executed remotely on the calling server
• Used Jenkins to create a build job that spawns the Cloud Formation stack using Jenkins-Cloud Formation-Plugin
• Involved in Testing in Agile Development Environment, using TDD and ATDD approach
• Responsible for writing micro services using Spring Boot and Pivotal Cloud Foundry
• Created Automation to create infrastructure for Kafka clusters different instances as per components in cluster using Terraform for creating multiple EC2 instances & attaching ephemeral or EBS volumes as per instance type in different availability zones & multiple regions in AWS
• Updating kernel & security patches in Amazon Linux environment, handling out of memory issues in Linux kernels during rebalance in Kafka cluster
• Automated and updated the security groups to allow only the specific CIDRs
• In addition to that, automated Iptables with puppet config
• Automated our Kafka/Schema registry clusters to add/incorporate SSL/TLS
• Schema registry is a JAVA app and we added Nginx in front of it and enabled SSL
• Involved in designing and deploying a multitude application utilizing almost all AWS stack (EC2, S3, VPC, ELB, Auto Scaling Groups, Route 53, Cloud Front, IAM, CloudFormation, Lambda, Glue, SQS, Kinesis) focusing on high-availability, fault-tolerance and auto-scaling
• Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates
• Managing various database services by AWS like RDS, DynamoDB and Elastic cache
• Used AWS Lambda to Automate log handling process for blacklisting bad IPs in AWS WAF
• AWS tasks such as migrating applications to Cloud, importing volumes, optimizingEC2, configuring and migrating to RDS, S3 storage, creating security groups, auto-scaling, elastic load balancers (ELBs), Route53
• Virtualized the servers on AWS using the Docker, create the Docker files and version control to achieve Continuous Delivery goal on high scalable environment, used Docker coupled with load-balancing tool Nginx
• Maintaining a farm of EC2 instances, ELB's and RDS
• Worked on Cloud automation using AWS Cloud Formation templates
• Evaluating testing of CHEF Recipes - Concept of Test-Driven Development for Infrastructure as a Code
• Implemented continuous integration using Jenkins and VSTS
• Automated the cloud deployments using CHEF, PYTHON (boto & fabric) and AWS Cloud Formation
• Setup load balancers in front of auto scaling groups in AWS to create a dynamically scalable production environment able to handle large swings in load
• Optimized the Cassandra cluster by making changes in Cassandra properties and Linux (Red Hat) OS configurations
• DNS and Load Balancing experience on Nginx and knowledge on HA Proxy
• Implemented automated local user provisioning in instances created in OpenStack cloud through Ansible Play books
• Architected, planned, developed & maintained Infrastructure as code using CI/CD deployments using Terraform
• Used Artifactory to set up several Docker registries, using local, remote and virtual Docker repositories
• Management and AWS infrastructure automation using Cloud formation and terraform
• Experience in Implementation of Continuous Integration and Continuous Delivery and other tooling as needed to support internal and customer development efforts to customize and enhance OpenStack
• Automated the cloud deployments using AWS Cloud Formation Templates
• Developed scripts using ruby to automate and unify multi-node chef deployment, cloud verification, benchmarking, and profiling
• Created alarms and triggers using Cloud Watch based on thresholds, Utilized Nagios and Splunk and ELK, New Relic for monitoring, also utilized Kibana and Grafana as visualization tool Writing chef recipes for various applications and deploying them in AWS using Terraform
• Creating the Docker containers and Docker consoles for managing the application life cycle
• Responsible for Build and Install Schedules using Unix Cron jobs
• Experience with setting up Chef Infra, bootstrapping nodes, creating and uploading recipes, node convergence in Chef SCM
• Experience in RDBMS and NoSQL installation and support including Oracle, SQL Server, MySQL, Post GRE, AURORA and MongoDB
• AWS EC2/VPC/S3/SQS/SNS based infrastructure automation through Ansible, Python, Bash Scripts
• Install and configure the application servers such as Apache Tomcat and JBoss for application deployment, and automated using Chef
• Involved in writing recipes and cookbooks for configuration management to manage EC2 instances running on AWS using Opscode chef
• Experience in Agile Methodology and Agile Engineering practices like TDD, Continuous Integration, Continuous Deployment Experience in DevOps tool like Git, JIRA, Jenkins, Maven, Jfrog Artifactory and Gradle
• Used ANT and Maven plugins to integrate Jenkins with GIT for building java projects
• Installation of Solaris 8, 9 based servers with Jumpstart and Redhat Linux EL 4.x based servers using Kickstart development, test, and production environments
• Environment: RHEL Linux 7.x, AWS EC2, VPC, ELB, S3, Cloud Trail & Route 53, Post GRE, VDI, ELB, Cloud Watch, Cloud Front, AWS CLI, Cloudformation, IAM, AWS Auto Scaling, Linux, GIT, Lambda, CHEF, JENKINS, Cloud Foundry, VSTS, Ruby CHEF, JIRA, Confluence, Datadog, Maven, Artifactory, GITHUB, Ubuntu, Cent ÖS, Git, Maven, Micro services, Ansible, JBoss, WebSphere, Docker, Kubernetes.

• Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems
• Worked on Cloud automation using AWS Cloud Formation templates
• Working for DevOps Platform team responsible for specialization areas related to CHEF for Cloud Automation
• Collaborated with Development and Support teams to setup a CD (Continuous Delivery) environment with the use of Docker and Wercker, continuous build and delivery tools
• Conducted business impact analysis & risk assessments of business functions
• Accordingly, designed, developed, documented and implemented Disaster Recovery infrastructure for mission critical servers
• Coordinating the resources by working closely with Project Manager's for the release and Project Manager for all the Operational Projects
• Implementing new projects builds framework using Jenkins &Maven as build framework tools
• Developed automation framework for Application Deployments to the cloud environments
• Worked on migration from Datacenter to AWS
• Design and Launch Cloud Formation Stacks in AWS, relying on configuration management tools
• Implemented rapid-provisioning and life-cycle management for Ubuntu Linux using Amazon EC2, CHEF, and custom Ruby/Bash scripts
• Written Terraform templates, Chef Cookbooks, recipes and pushed them onto Chef Server for configuring EC2 Instances
• Extensive hands-on experience in Pivotal Cloud Foundry, other PaaS platforms and In-depth understanding of Domain Driven Design and 12 Factor principles
• Rolling upgrade cluster from kafka0.9/0.10.2/0.11 without any downtime/data loss while upgradation
• Managed and optimize the CI (Continuous Integration) tools like Jenkins
• Install, Configure, Administer Hudson/Jenkins Continuous Integration Tool
• Written CHEF Cookbooks for various DB configurations to modularize and optimize product configuration
• Implemented Chef Recipes for Deployment on build on internal Data Centre Servers
• Used CHEF, Knife, Ohai to create cookbooks and recipes to install packages that automate with Linux
• Setup CHEF Cookbooks to perform builds and deployment management
• Automate Continuous Build and Deploy Scripts for Hudson/Jenkins Continuous Integration tool
• Provide stable build environments for product development
• Branching, Tagging, Release Activities on Version Control Tool GIT
• Develop Custom Scripts to monitor repositories, Server storage
• Written Python/ Shell scripts according to the requirement
• Worked on Administration, maintenance and support of Red Hat Enterprise Linux (RHEL) servers
• Experienced with RESTful API's of Elastic Search to analyze, search and visualize real-time data
• Scripting & automating tasks using Python for backup, monitoring and file processing
• Upgrading Production Environment servers for Stability and Security
• Implemented Nagios monitoring solution for mission critical servers
• Experienced network-based services including DNS, Syslog, NTP, SSH
• Utilized Netstat, Dig, Traceroute, Nmap
• Continuously updating documentation for internal knowledge base of support team and IT team
• Environment: Red hat (5.x), Elasticsearch, EC2, ELB, Nagios, Cloud Formation, Chef, AWS, Terraform, Jenkins, Maven, Ant, GIT, Docker, Apache, Nagios, MySQL, Python

• Administered, maintained Red Hat 3.0, 4.0, 5.0, 6.0 AS, ES, Troubleshooting Hardware, Operating System Application & Network problems and performance issues; Deployed latest patches for, Linux and Application servers, Performed Red Hat Linux Kernel Tuning
• Building, Installing, Configuring Sun/HP/Dell servers from scratch with OS of Solaris (10/8) and Linux (Red Hat 6.X, 5.X, 4.X)
• Performed network based automated installations of Operating System using Jumpstart for Solaris and Kickstart for RHEL Linux through TPM (Tivoli Provisioning Manager)
• Installation and Configuration of Mail server of Send mail, and Postfix
• Installation, configuration and maintenance of Virtualization technologies such as VMware and Linux
• Design, development, and implementation of the package and patch management process
• Troubleshooting the VM machines using Virtual center and VMware Infrastructure client
• Cloning and troubleshooting VM ESX hosts and guest servers
• Patched Solaris 10 and RHEL servers, using patch cluster, yum repositories, and breaking root mirrors, creating ABEs for ZFS 10
• Implementation of RAID techniques and the creation of Disk groups and volumes, plexus using VERITAS Volume Manager, Solstice Disc Suite and logical volume manager managing disks and file systems
• Successfully installed and configured NAGIOS monitoring system to monitor the production server environment
• Improved monitoring with Nagios and custom plugins
• Configured rules and alerting mechanism to raise alert for failure of servers, wherever possible
• Installation, Configuration and Administration of High Availability VERITAS Cluster Service for redundancy purpose
• Designed, built and implemented a System Imager for Linux
• Installation, setup, configuration, security administration and maintenance for flavors of servers like Active Directory, NFS, FTP, Samba, NIS, NIS+, LDAP, DHCP, DNS, SMTP/Mail Server, Apache Servers, Proxy Servers in heterogeneous environment
• Writing Shell scripts for system maintenance and automation of server
• Monitor performance and resource utilization of key systems and provide ongoing trend analysis for forecasting future resource requirements
• Monitoring System performance and do kernel tuning to enhance the system Performance
• Proactive maintenance on systems by timely scheduling of at jobs, batch jobs and cron jobs.