SUMMARY

• DevOps Engineer with 8+ years of hands - on experience in areas of DevOps/ Automation / Cloud / Build and Release Management and with constant drive to learn new technologies and find ways to better myself in this rapidly changing industry.
• Expertise in implementing DevOps methodologies along with AWS for Automation, Continuous Integration, Continuous Delivery, High Availability, High Scalability, Monitoring, Logging, Security and Governance.
• Strong knowledge in SDLC Methodologies, Configuration & Change Management systems.
• Strong knowledge in Software development methodologies like Agile, Scrum/Sprints, TDD, Waterfall models.
• Extensive experience in Build/Release Management, SVN, GitHub Enterprise, github/gitlab BitBucket along with Shell, Shell-Bash, JSON, Groovy, Python and Ruby Scripting.
• Proficient in Administering Unix, Linux Configuration and Windows based platforms.
• Experience in using Continuous Integration tools like Hudson, Jenkins from End-to-End automation for all build and deployments.
• Hands on Experience in launching, configuring and maintaining AWS cloud resources like EC2, VPC, S3, Glacier, EBS, EFS, ELB, Auto Scaling, RDS, DynamoDB, Route53, Lambda, CloudWatch, IAM, Elastic Cache, ECS, Cost Explorer, OpsWorks, SQS, SNS, SWF, SageMaker, VPC, Secrets Manager, Stack Sets, AWS Organization, Athena, Data Sync, Elasticsearch Service.
• Experience with cloud automation using AWS Cloud Formation Template, Terraform, Chef, Golang, Ansible and Puppet.
• Hands on Experience in containerization Docker and deploying the microservices using Kubernetes/openshift, PODS, Rancher, Amazon ECS and EKS.
• Implemented Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GitHub Enterprise, Bit Bucket and Subversion (SVN) on Linux platforms.
• Expertise in using build tools like Ant, Maven, Gradle for the building of deployable artifacts such as Jar, War & Ear from source code.
• Experienced in managing the artifacts generated by Maven in the Nexus and JFrog Artifactory repository.
• Installed/Configured the WebSphere, JBoss, Nginx, Apache servers and Managed tuning and performance of high-profile applications running on them.
• Experienced in writing Recipes, Cookbooks and managed, configured Chef Nodes using Chef Server.
• Hands on Experience in designing Modules, writing Playbooks and configuring Inventory in Ansible.
• Experience in Server monitoring, capacity planning, application monitoring with the help of Nagios, Splunk, Sensu Core, github/gitlab, AWS CloudWatch and Kibana.
• Involved in JIRA as defect tracking system and configure various workflows and integrated Jenkins.
• Implemented Key Management System using Vault.
• Maintained Performance tuning of VMware Vsphere servers and management of server resources between Virtual Machines using Vagrant.
• Worked with database technology such as MySQL, Oracle SQL, AWS RDS, AWS DynamoDB databases.
• Designing and implementing best strategies for Backup & Recovery, Disaster Recovery, and Fault Tolerant in Hybrid infrastructure.
• Good understanding of OSI Model, TCP/IP protocol suite (IP, ARP, TCP, UDP, SMTP, FTP, and TFTP).

TECHNICAL SKILLS

AWS Services: EC2, VPC, S3, ELB, EBS, EFS, Glacier, RDS, DynamoDB, Auto Scaling, Lambda, Route53, ECS, OpsWorks, Elastic Cache, CloudFormation, CloudTrail, CloudFront, IAM, CloudWatch, SNS, SQS, SWF, AWS SDK, Cost Explorer, Data Sync, Athena, AWS Organizations.

SCM Tools: SVN, GitHub Enterprise, github/gitlab, BitBucket.

Build Tools: Ant, Maven, Gradle.

CI Tools: Hudson, Jenkins.

Web/App Servers: WebSphere, Nginx, Apache Tomcat, Jakarta, HTTP, JBOSS

Monitoring Tools: Nagios, Splunk, Sensu Core

Testing Tools: JUnit, Selenium, JMeter.

Orchestration Tools: Chef, Ansible, Puppet.

Scripting Languages: Shell, Shell-Bash, YAML, Ruby, Golang, Python, PowerShell, Jinja2.

Programming languages: C, C++, Java, .NET.

Databases: MySQL, Oracle SQL, MongoDB.

Platform: RHEL (3,4,5,6), Windows Server 2008 R2, 2012 R2, CentOS 7, Ubuntu 16.04 LTS, Windows (XP, 7, 8, 10) and Mac OS

Other Tools: Nexus, JIRA, Vagrant, TerraForm, Putty, Cloud Custodian.

PROFESSIONAL EXPERIENCE

Confidential, Waukesha, WI

Sr DevOps Cloud Developer

Responsibilities:

• Deployment, automation, management, and maintenance of AWS cloud-based production system.
• Ensuring availability, performance, security, and scalability of AWS production systems.
• Designed and Developed CloudFormation Stacks of BBVA Ventures for data archival.
• Migrating data between AWS services using AWS Data Sync for Centralized logging.
• Managing SCP Policies across the organization via AWS Organizations.
• Design and Implement AWS Stack Sets for maintaining security posture as part of audit findings.
• Creating Athena queries against S3 buckets for Log Analysis.
• Provision of critical system security by leveraging best practices and prolific cloud security solutions.
• Design and Implement SIEM solution using Terraform, S3, SQS, Lambda, EKS, Elastic Search Service.
• Worked on Container orchestration with Kubernetes, Cloud Foundry.
• Worked on Continuous integration technologies Jenkins, Rancher, Docker, Golang, Chef, Puppet.
• System troubleshooting and problem resolution across various application domains and platforms.
• Monitoring and alerting on - perm servers using Nagios.
• Enforcing Test Driven Development (TDD) approach for writing Chef Cookbook using Test-Kitchen, Food Critic and Chef Spec for Behavior Driven Development (BDD) & Chef.
• Worked on building and deploying Java code through Jenkins.
• Worked with development team to generate deployment profiles (jar, war, ear) using Maven, Gradle scripts spark Terraform and Jenkins.
• Configured pre commit hooks for github/gitlab and integrated with EKS, Jenkins and JIRA and post commit hooks for triggering continuous build.
• Worked on Amazon Sage Maker cloud machine-learning platform to create, train, and deploy machine-learning models in the cloud.
• Integrate with third-party RESTful APIs and micro-services.
• Manage our current cloud infrastructure - multiple EKS, RedHat OpenShift Kubernetes clusters on AWS (ROSA)
• Skills in source code revision control and management systems, especially github/gitlab.
• Designed AWS CloudFormation templates to create custom VPC, Subnets and NAT to ensure successful deployment of Web applications and database templates using ASP.NET.
• Applied the principles of software engineering to the design, implementation, configuration, and optimization of solutions in support of cloud-native services and cloud-based applications.
• Architect micro-services to efficiently run at scale applications and data pipelines within deployments.
• PySpark SQL (Python, Apache Spark, Hive) and Amazon Sage Maker cloud for machine-learning
• Designed roles and groups for users and resources using AWS Identity Access Management (IAM) and also managed network security using .NET & Security Groups, and IAM.
• Partner with IT, applications and data teams on implementation and support of cloud native technologies in pyspark, github/gitlab, Golang, OpenShift, Rancher, Terraform & AWS.
• Worked on writing Pyspark pipelines in Databricks
• Hands on experience in cloud environment OpenShift (AWS, Google Cloud, Azure)
• Create various backend micro-services, maintain existing one, actively participate in the platform development process. Core tools: python3, flask, aws, pyspark, docker ASP.NET.
• Experience implementing Customer-specific Artificial Intelligence / Machine Learning solutions (data science, analytics, ML models, Postgres/SQL/databases/data lakes, etc.)
• Hands-on Development skills key technologies - Java/Groovy, Docker, EKS, Ansible, Infrastructure-as-Code (IaC), pyspark Docker, github/gitlab, Cloud Kubernetes/OpenShift, PODS, Golang, AWS Lambda/Azure Functions, NoSQL such as MongoDB or DynamoDB & VPC.
• Experience in CI/CD (Continuous Delivery / Continuous Integration), cloud computing, developing, deploying and maintaining applications in a cloud hosted environment or pipeline such as Docker, OpenShift and/or Jenkins.
• Worked onimplementing industry standard security and compliance practices for docker Kubernetes AWS etc.
• Setup Docker Host, Docker Registry, Docker Images (CentOS, spark RHEL and Ubuntu instances).
• Creating and Managing Docker deployments in AWS cloud using Amazon ECS and Kubernetes Pods.
• Deploying microservices and scaling deployment across cluster using ASP.NET & Kubernetes PODS.

Environment: AWS Cloud, Bitbucket, Terraform, Git, Confluence, Jira, Python, Docker, Boto3, pyspark Cloud Ware, Google sheets, Microsoft Office Suite, Git, Maven, Rancher, Gradle, Golang, Ansible, Nginx, Apache, Nagios, Docker, Kubernetes/OpenShift, Python, Shell Bash, JSON, .NET, YAML Ruby.

Confidential, Torrance, CA

SRE/DevOps Cloud Engineer

Responsibilities:

• Created builds and release pipelines in VSTS and worked on deployments using SPN secure endpoint connection for implementing CI/CD and worked on automation for deployments by using YAML scripts for massive builds and releases and deployed the services by pyspark VSTS Azure DevOps pipelines.
• Configured Continuous Integration from source control, setting up build definition with in Visual Studio Team Services (VSTS)and configuredcontinuous deliveryto automate the deployment of ASP.NET MVC applications toAzure web appsand managed Azure Active Directory,Office 365and applied upgrades on a regular basis.
• CreatedAzureAutomation Assets, Graphical runbook, PowerShell runbook, deployedAzure ADConnect, configuringActive Directory Federation Service (AD FS)authentication flow, ADFS installation usingAzure AD Connect, and involved in administrative tasks that include Build, Design, Deploy of Azure environment.
• Deployed Azure Cloud services (PaaS role instances) into secure VNets, subnets and designed Network Security Groups (NSGs) to control Inbound & Outbound access to Network Interfaces (NICs), VMs & subnets.
• Served as the lead PowerShell developer in hundreds of Windows based migration and automation projects and created automated solution using Windows PowerShell to manage the backup of the primary file server and programmatically notify the administrator via email of the backup’s success or failure.

Experience in creating ARM templates for Azure platform and in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups and created and configured HTTP Triggers in the Azure Functions spark with Application insights for monitoring and performing load testing on the applications using the VSTS.

• Created and Maintained MS Azure Cloud Infrastructure and Virtual Network between MS Azure Cloud and On-premises network for backend communication and expertise in deploying Azure AD connect, configuring ADFS installation using Azure AD connect and Handled migration of on-premises applications to the cloud and created resources inside cloud and expert in deploying of OpenStack hosted applications on Azure platform and resolve issues related to RDP of Azure Infrastructure.
• Worked on Setting up and configuring pipelines to build, test, deploy code to Azure functions, and integrate with other Azure services like Cosmos DB, EventHub, and worked on configured build chaining, multi-phased builds, test integration, release gates, reporting, and notifications.
• Worked on Azure based PaaS & SaaS spark services like Data Lake, EKS, AD, SQL DW, Machine Learning, Rancher, Data Factory and managed Microsoft Azure environments github/gitlab VM’s, NSG’s, Resource Groups with Windows administration.
• Worked on migrating SQL server database to SQL Azure data base using SQL Azure migration wizard and working knowledge on Azure Fabric, Rancher, Micro services, EKS, IoT & Docker containers in Azure.
• Worked with Red Hat OpenShift Container Platform for Docker and Kubernetes, Used Kubernetes to deploy scale, load balance, scale, and manage Docker containers with multiple namespace versions.
• Involved in managing Private Cloud and Hybrid cloud configurations and practices in Windows Azure, SQL Azure, Azure Web and Database deployments and heavily involved in buildout, migration, monitoring and support of azure environment for the organization by developing and enhancing PowerShell scripts, and Dynatrace.
• Develop pipeline objects using Apache Spark / Pyspark / Python /Scala.
• Worked on Container management using Docker by writing Docker files and set up the automated build on Docker Hub and written Docker Compose file for multi container provisioning and Makefile file to build, run, tag, and publish a docker container to Azure Container Registry.
• Experience in Azure IaaS, PaaS, Provisioning VM's, Virtual Hard disks, Virtual Networks, Deploying Web Apps and creating Web-Jobs, Azure Cosmos DB, github/gitlab, Active Directory, Azure Windows server, Microsoft SQL Server, Microsoft Visual Studio, Windows PowerShell, Cloud infrastructure and Upgraded and Migrated web applications to latest .Net framework versions and used Azure Snowflake, Azure Databricks and designed, developed standalone data migration applications to retrieve and populate data from Azure Table / BLOB storage to on-premise SQL Server instances.
• Worked with Systems Analysis, Design, Dev, Implementation of various webandClient/ServerApplications development usingMicrosoft .NET Framework,C#.NET,ASP.NET with expertise inVisual Studio .Netenvironment, Microsoft .Net Framework and Worked onASP.NET, toolkit Controls and strong programming experience with web technologies likeHTML JavaScript,ASP.NET,Web services.
• Implementeda CI/CDpipeline with Docker, Jenkins (TFSPlugin installed),Team Foundation Server (TFS), GitHub, Azure Container Service, EKS, pyspark when a newTFS branchgets started,Jenkins, ourContinuous Integration (CI)server, automatically attempts to build a newDocker containerfrom it.
• Assigned RBAC Roles using Organization Active Directory Confidential the Subscription Level to grant accesses only to required members and assigned RBAC policies Confidential group level and user level as per the Least-Access Privileges created for the services implemented new Automation account, scheduler, notification hub, IOT Hubs, Batch.
• Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing and worked on Installing and Configuring AD FS role on Domain Controllers, deploy WAP Server for the users to reach AD FS out of company network and Worked on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and Power Shell Automation.
• Worked with Terraform Templates to automate the Azure IaaS virtual machines using terraform modules and deployed virtual machine scale sets in production environment and worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure usingAzure Site Recoveryand collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.

Environment: Azure, Terraform, Rancher, GIt, Maven, Gradle, Jenkins, SonarQube, Nexus, Chef, WebSphere, github/gitlab, Nginx, Apache, Nagios,, Golang, Putty, ChefSpec, JIRA, Docker, Kubernetes, Shell Bash, Ruby, JSON, YAML, Groovy, XML, Agile, TDD, BDD, RHEL 4,5,6, Ubuntu.

Confidential, Salt Lake City, UT

Devops Cloud Engineer

Responsibilities:

• Providing Cost Optimizing solutions for Infotech AWS accounts by assisting with review, identify and correct performance/scaling issues of their application environment.
• Review the AWS Services (EC2, S3, RDS, IAM, Lambda, EBS, CloudWatch) using Cost Explorer.
• Scripting CloudFormation Templates in YAML OpenShift and Python.
• Recommending the RI purchases and Right Sizing EC2 instances for performance and cost.
• Auto Remediation using a Cloud Custodian in an Ansible framework.
• Used BitBucket as distributed version control to maintain the scripts.
• Actively monitoring the cost for individual accounts and review it with the technical leads to ensure is under control.
• Implement Continuous Integration (CI) and Continuous Delivery (CD) using Git, GitHub, Terraform and AWS services (IAM, EC2, VPC, CloudFront, Lambda, Rekognition, EBS, EFS, DynamoDB, Route53, ELB, Cognito, KMS), ANSIBLE/CHEF.
• Developed the Web Based Rich Internet Application (RIA) using J2EE (Spring framework) and Coded Java backend, JSP, Struts, JavaScript, Business classes.
• Implement monitoring for AWS hosted applications using Sensu Core monitoring tool.
• Work on various DevOps tools like OpenShift GitHub Enterprise, JFrog Artifactory, Active Directory, Active Roles.
• Automate adding of users to JFrog Artifactory by creating script using Bash Shell
• Work on centrally managing Linux/Unix system configurations using Puppet and monitor IT-DevOps applications and servers using Nagios with CheckMk.
• Implementing lambda functions to schedule the environments and other automation tasks.
• Assisting the teams to resolve the CloudCheckrsecurity vulnerabilities and ensure it meets the deadline.
• Recording and tracking the cost, recommendations and action items using Confluence and Jira.
• Installing and configuring Plugins, polling SCM and conducting code quality test using SonarQube in Jenkins.
• Orchestrating existing infrastructure using Chef, by Chef Workstation, recipes, Cookbooks Chef Server, Chef nodes, Knife and Chef Client.
• Developed Cookbooks to automate the configuration setup.
• Established Chef best practice approaches to system deployment and managing Chef Cookbook as a unit of software deployment and independently version controlled.
• Installing and configuring WebSphere, Nginx, Apache application servers on RHEL OpenShift environments.
• Worked on AWS OpsWorks in integration with Chef configuration management tool to maintain infrastructure.

Environment: AWS, Bitbucket, Git, Confluence, Jira, Yaml, Python, Docker, Cloud Custodian, Boto3, Google sheets, CloudCheck, Cloud Custodian, Jinja2, Ansible, Microsoft Office Suite, AWS (EC2, VPC, S3, ELB, Auto Scaling, EBS, IAM, CloudWatch, CloudFormation), Git, Maven, Gradle, Ansible, Nginx, Apache, Nagios, Docker, Kubernetes, Python

Confidential, San Francisco, CA

IT-DevOps Cloud Admin

Responsibilities:

• Responsible for designing processes for migration of Enterprise IT infrastructure from on-premise to Amazon Web Services (AWS) Cloud by practicing Safe Methodology for implementing Lean-Agile development at Enterprise scale.
• Configured reverse proxies for applications hosted on cloud using Nginx and HA Proxy and load balanced them using Keepalived.
• Implemented smart commits by integrating GitHub with Jira.
• Develop automation to quickly and rapidly deploy instances from hardened images DB (MySQL, SQL Server, PostgreSQL, etc.).
• Automate PCI audit and reports for AWS services by writing scripts to generate the reports on a single go.
• Manage Virtual Machines and Server Storage using VSphere 6.0and NetApp OnCommand System Manager 3.1.2.
• Designed and Developed Rest services using Java, Spring, Spring Boot, Spring Data Rest, RESTful, JPA, Hibernate.
• Use Jira and Salesforce ticketing tool to provide accurate timelines, track issues and prioritize them to provide immediate resolution.
• Create and maintain documentation of environment design, configuration and workflow on Atlassian Confluence collaboration software program.
• Involved in migrating services from a managed hosting environment to AWS including service design, network layout, data migration, automation, monitoring, deployments and cutover, documentation, overall plan, cost analysis, and timeline.
• Setup and build AWS infrastructure various resources EC2, VPC, S3, EBS, EFS, ELB, Auto Scaling, RDS, DynamoDB, Route53, Lambda, CloudWatch, IAM, Elastic Cache, ECS, OpsWorks, SQS, SNS, SWF.
• Mounted EFS on EC2 instances for high available storage solution which can redundantly store objects across availability zones.
• Worked on configuring S3 versioning and lifecycle policies to backup files and archive files in Glacier.
• Configure and manage security group, security policies, networking components and Nat Instances in VPC.
• Run Standup meetings on a rotational to ensure everyone in the team meets the project timelines.
• Provide end-user support via Slack for development and engineering tools.
• Implement and adopt currently relevant technology for overall Organizational growth.
• Participate in on call rotation and respond to emergencies 7/24/365.

Environment: AWS, GitHub Enterprise 2.15, JFrog Artifactory 6.5.2, Sensu Core, Terraform, Active Directory, Active Roles 7.0, Puppet, Confluence, Nginx, HA Proxy, Keepalived, Nagios, Bash Shell, CheckMk, VSphere 6.0, NetApp OnCommand System Manager 3.1.2, Jira, Salesforce, Linux, Slack, UNIX, Atlassian Confluence.

Confidential

DevOps Engineer

Responsibilities:

• Responsible for on board Application teams to build and deploy their code using SVN, Git, GitHub, Maven, Ant, Jenkins, Puppet, Apache HTTP Server and Splunk.
• Coordinated developers with establishing and applying appropriate branching, labeling/naming conventions using SVN, Git source control.
• Analyzed and resolved conflicts related to merging of source code for GIT.
• Experienced in JIRA to capture, organize and prioritize issues.
• Configured and maintained Jenkins to implement CI process and integrated tool with GIT and Maven to schedule builds.
• Implemented build pipeline in Jenkins for maven and ant builds.
• Wrote maven scripts for handling automated deployments during Jenkins’s build.
• Wrote global maven-based parent/super POM project for settings up standard across projects.
• Managed Ant based large project for build and deployment to Apache servers and handling deployments by using Jenkins distributed deployment capabilities on to RHEL based Servers.
• Installed and configured Splunk plugins in Jenkins for monitoring builds and console logs.
• Involved with configuring and monitoring distributed and multiple platform servers using Puppet.
• Used puppet server and workstation to manage and configure nodes.
• Initiated puppet master, client and wrote scripts to deploy security patches on Dev, QA, and Prod environment.
• Coordinated build and deployment bottlenecks with development teams.
• Provided build support during off-peak hours.

Environment: SVN, Git, GitHub, Maven, Ant, Jenkins, Puppet, Splunk, Apache HTTP, RHEL, Shell Bash, XML, Python, JIRA, Ubuntu, J2EE, Agile.