Devops Engineer System Administrator

Adnan Syed

Contact No: +1-773-***-****

LinkedIn: linkedin.com/in/adnan-syed-46a85a215 Email ID: *****.****.*******@*****.***

PROFESSIONAL SUMMARY

DevOps Engineer with IT experience of 9+ Years in Continuous Integration/Continuous Deployment with strong background in System Administrator, Build/Release Management, Change/Incident Management and Cloud Management with AWS and OpenStack.

Experience in Working with Public Cloud Platform like Amazon Web Services such as EC2, S3, EBS, VPC, ELB, Auto Scaling, Route53, Security Groups, Cloud Watch, Cloud Front, Cloud Formation, IAM, RDS and Glacier.

Configured and managed Elastic Load Balancing (ELB) to implement fault tolerance and avoid single point of failure of applications, thus providing high reliability and efficient usage. AWS and OpenStack to provision new machines for clients. S3 Storage Services on AWS.

Experience in branching, tagging, merging and maintaining the version across the environments working on Software Configuration Management (SCM) tools like Subversion (SVN) and GIT, TFS, Git Lab, Git Atlassian Stash (Bit Bucket Server) and related Webhooks.

Knowledge about Microsoft Azure in creating cloud environment and managing the application servers across Microsoft managed global data centres. Expertise in configuration and managing Linux and Windows Virtual Machines under VMware.

Extensively involved in installing and configuring different monitoring tools Nagios, Hpov, AppDynamics, Splunk, ELK, EFK, Grafana, Graphite, Prometheus, and Node Exporter.

Experience using Gradle, Maven and Ant as build tools for the building of deployable artifacts (Jar, War & Ear) from Source Code and required Unit, Integration, UA Test Cases as needed.

Extensively worked on Jenkins by installing, configuring, and maintaining for the purpose of Continuous Integration (CI) and for End-to-End automation for all build and deployments.

Authored scripts in Bash, Shell, Ruby and Python for AWS SDK Boto3, Operations and Support, Infrastructure Automation and Auditing and Continuous Deployment (CD).

Strong Hands-on experience in Infrastructure and Application Platform deployment with IAC(Infrastructure-as-a-Code) using tools like Terraform, Chef, Puppet and Ansible for implementing Continuous Deployment Pipeline in Multiple environments as per the Application and Customer needs.

Worked with Docker and Vagrant for customer and application setup for validating developed code changes related based of TDD (Test Driven Development) approaches.

Worked with CI/CD system with Jenkins on Kubernetes container environment, Utilized Kubernetes and Docker for the runtime environment for the CI/CD system to build, test and deploy. Integrated Jenkins with various DevOps tools such as Nexus, SonarQube, etc.

Helped security team as a focal point for security activities, including vulnerabilities, investigations and security incidents.

.NET Framework, MVC 3 and above and .NET Core.

Experienced in implementing Application MicroServices Architecture using Containerization with Application Orchestration using Cloud Agnostic based Kubernetes Solutions using EKS, Kops and Bare metal Kubernetes Cluster.

Worked on Web servers like Apache HTTP, IIS and Application servers like WebLogic, WebSphere, Tomcat, JBOSS to deploy different applications including AWS Auto Scaling, AWS Elastic Bean Stalk.

Used Tenable.io for scanning network related activities and added as a part of scheduler weekly and daily depending on the server requests.

Created push policies workflows using Tenable.io for public and private cloud environment to make it compliant with enterprise policy.

Experience in Azure Development worked on Azure web application, App services, Azure storage, Azure SQL Database, Azure Virtual Machines, Azure search, Azure DNS, Azure VPN Gateway, Azure AD, and Notification hub.

Experience in dealing with Windows Azure IaaS -Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Application Insights, Auto-Scaling.

Proven Ability with Containerization tools such as Docker, Kubernetes. Experienced and knowledge in packet management installation, updating, and remove different packages using RPM and YUM.

Deployed and Monitored Micro Services using Pivotal Cloud Foundry (PCF) and managed domains and routes with the cloud foundry.

Experienced in authoring and maintaining Docker images, Containers, Hub and Docker Swarm both On-Premises and Cloud (ECR) to be used with On-premises Docker Clusters and AWS ECS Fargate types.

Experienced in using Ansible as a configuration management tool and developed Ansible Playbooks to provision Apache Web servers, Tomcat servers, Nginx, and other applications.

Debugged our APIs using Splunk logs and made performance analysis through AppDynamics and Nagios for Resource Monitoring/Network Monitoring/Log Trace Monitoring.

Experienced in working with JIRA and managing project using JIRA issues like epics, story, spikes, and tasks.

Monitored and Supported Linux and Windows Servers and Application Service Health Checks for different application need to meet High Availability Requirements.

Experience in Agile and Waterfall Methodologies and worked through all phases of the Software Development Life Cycle from Analysis for different Application Software Releases.

Configuring network services such as DNS, NFS, SMTP, NTP, DHCP, LDAP, postfix, send mail, ftp, remote access, security management and LDAP, RBAC, Digital certificates security trouble shooting skills.

TECHNICAL SKILLS

Version Control Tools

Git Hub, Gitlab, Bit bucket, Subversion (SVN), Azure Repo, Code Commit

CI/CD & Build Tools

Harness.io,Jenkins, Azure DevOps, Bamboo, U-Deploy, Maven, ANT, Gradle

Configuration Tools

Chef, Puppet, Ansible, Autosys

Cloud Services

AWS, AZURE, Oracle Cloud, Pivotal Cloud Foundry (PCF)

Infrastructure Tools

Terraform, CloudFormation, Azure Resource Manager

Container Tools

Docker, Kubernetes

Artifact Managing Tools

Nexus, JFrog

Scripting/Languages

Perl, Python, Ruby, Shell, Bash, Power Shell scripting

Virtualization Tools

VMWare, Virtual box, Vagrant

Web/Application Servers

Apache Tomcat (2.x, 3.x, 5.x, 7.x), JBOSS (4.x/5.x), Nginx, IIS, WebLogic (8/9/10), WebSphere (6.x/7.x/8.x)

Operating Systems

UNIX,Linux,RedHat(4/5/6/7)Ubuntu,CentOS,Sun-Solaris(8/9/10/11), Windows(NT,16,19,22), SUSE (10/11/12).

Networking/Protocols

TCP/IP, DNS, NIS, SMTP, LAN, WAN, FTP/TFTP, SFTP, DHCP, NFS, HTTP/HTTPS

Database Management

Amazon Aurora, Oracle, MySQL, SQL, PostgreSQL, MongoDB, AWS RDS, DynamoDB.

Monitoring Tools

Grafana,Datadog,Dynatrace,Nagios,Splunk,CloudWatch,ELK(Elasticsearch, Logstash, Kibana),AppDynamics, Prometheus

Reporting & Ticketing Tools

Service Now, JIRA, Confluence

Backup Management

Solar Winds, EMC Avamar, VERITAS Netback

CERTIFICATIONS:

AWS Certified DevOps Engineer - Professional (Validation Number: 6cd2a125590c45ce96e82cf94c0242fc)

Microsoft Designing and Implementing DevOps Solutions (Validation Number: MS0991073490)

Terraform Associate Certified

EDUCATION:

Masters in Information Technology from University of Cumberlands 2020.

Masters in Information Security Systems from University of Cumberlands 2018.

PROFESSIONAL EXPERIENCE

Client: Prudential NJ September 2021 to Present

Role: Devops/Systems Engineer

Designed and maintained application deployment AWS infrastructure utilizing services such as EC2, RDS, VPC Network, Security and Compliance, Route 53, RAM, SSM, TGW, Direct Connect, Organizations and Policies, IAM, Cloud Formation, AWS Ops Works (Automate Operations), Private Links, Elastic Beanstalk, AWS S3, Amazon Glacier, Cloud Watch/Trial.

Worked on RPA using Python for creating a tag API and and using Ansible playbook created a pipeline from harness to call the packages that were necessary for a server build process for NIX and Windows

Used Harness for creating pipeline and integrating them with SNOW and Tower for automating the testing of packages created in a dev environment.

Involved in deploying applications utilizing almost all the AWS stack (Including EC2, Route53, S3, ELB, EBS, VPC, RDS, Dynamo DB, SNS, SQS, IAM, KMS, Lambda, Kinesis) and focusing on high-availability, fault tolerance and auto-scaling in AWS Cloud Formation, deployment services (Opswork and Cloud Formation) and security practices (IAM, Cloud Watch, Cloud Trail).

Used Chocolatey for packaging the core-apps required for Windows Server build process with Ansible.

Built S3 buckets & managed policies for S3 buckets and used S3 bucket & Glacier for storage and backup on AWS.

Experienced in setting up CI/CD pipelines using Jenkins and building the art factories.

Management, and Docker, Kubernetes, AWS Elastic Container Services (ECS), Kubernetes Services (AKS), Helm for Containers and Container Orchestration, and Splunk, Prometheus, Nagios, Cloud Expertise in designing and implementing Computer layer like Amazon Machine Image (AMI) Design and Customization, Automation Scripts.

Watch for monitoring the Environment, and New Relic, Grafana, Elastic Search for Analytics and Visualization and Jira for Collaboration and bug tracking and reporting, and Maven, Ant for Build Management, and Git, SVN for Version Controlling, and most of the Cloud Resources available in AWS clouds.

CA workload Agent(Autosys) scheduled jobs for automation upgraded the JDK version for compatibility with OS.

Setup the private Docker registry using the Nginx and Jfrog Artifactory, managed major architecture changes from single server large software system to a distributed system with Docker and Kubernetes orchestration. Experienced in cloud automation using, AWS cloud Formation Templates, Chef and Puppet.

Experience using MAVEN and ANT as build tools for the building of deployable Artifacts from source code.

Writing Helm Charts, Kubernetes YAML files for deployment of MicroServices into Kubernetes clusters and Kubernetes is being used to orchestrate the deployment, scaling and management of Docker Containers.

Worked with Cloud Security in both AWS/Azure based Cloud Infrastructures using AWS/Azure Firewall Manager, Defender for Azure Cloud, Azure Policy, Qualys Cloud Agent, Carbon Black Sensor, Amazon Security Hub, AWS Organizations, AWS Config and SCP’s.

Configured Autosys Agent and automated jobs on multi OS platform like RHEL and Windows.

Using Harness created a callback url using API for enforcing the packages that got uninstalled on servers by mistake.

Worked with Azure Functions, Virtual Machines, Vnets, App Plans, Active Directory Integration, RBAC, Azure MySQL, Redis, Monitor, and AKS Clusters for multiple application Environments.

Written Templates for AWS/Azure Infrastructure-as-a-code using Terraform to build Dev, Staging and Production environments. Defined Terraform modules such as Compute, Network, Operations, and Users to reuse across multiple applications and environments.

Used auto deployment methods like RPAS for enforcing the scanning on weekly basis to avoid cyber security and vulnerability issues.

Using Python scripts automated various integration with DENODO DB calling the SNOW cmdb table using Harness to deliver the inventories listed in Ansible tower one of the parts was also enforced with the help of RPAS architecture.

Worked with Drupal team and have created packages to deploy web based applications.

Designed and developed application using ASP.Net MVC, and Entity Data Model.

Implemented the project according to the Software Development Life Cycle SDLC and programming by using fast paced agile methodology, involving task completion, user stories, and iterations.

Integrated multiple tools like Splunk and Artifactory for running Ansible tower jobs with the help of Harness and created dashboards accordingly to monitor the health of the application and server.

Worked with Azure DevOps Services like Pipelines, Boards, Repos, and Plans for Java, Node.js and ASP.net based application integration builds, code collaboration and deployments.

Worked with Terraform Templates to automate the Azure IaaS virtual machines using terraform modules and deployed virtual machine scale sets in production environment.

Developed, designed and implemented the web application by latest versions of C# 5.0,6.0, MVC 5.0, ASP.NET CORE 2.1, 2.2,3.1,5.

Upgraded the Autosys package with Bigfix from 11.3 to R12.

Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments. Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers.

Experience of working with Azure Monitoring, Data Factory, Traffic Manager, Service Bus, Key Vault, Azure Firewall, Custom RBAC roles and ARM Templates.

Configuration and Implementing Application firewall rules on Azure, NSG Firewall Rule for Service endpoint in PaaS and IaaS Azure offering for secure use of Cloud Environment.

Designed and Developed AWS Cloud infrastructure utilizing Ansible and Jenkins for Continuous Integration with high availability and secure multi-zones and automated end-to-end transit hub connectivity resource deployment in AWS via Terraform.

Used .Net Framework(4.6) for Deployments on Windows Server with different version and upgraded on mass roll out with Bigfix.

Developed dashboards, alarms on Performance Management tools like AppDynamics to analyse behaviour/state of micro services, help understanding the possible source of the problem and prevent outages.

Experienced in using Splunk, EL/FK for Log monitoring and Nagios for Account maintaining and monitoring system performance. Worked with administrators to ensure Splunk is actively and accurately running and monitoring on the infrastructure implementation.

Developed dashboards, alarms on Performance Management tools like Splunk & Dynatrace to analyse behaviour/state of micro services, help understanding the possible source of the problem and prevent outages.

Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services.

Set up Jenkins master/slave to distribute builds on salve nodes.

Set relevance for Enforcement to enforce the application on the servers if users remove for any reason. Created automation with the call back API for automating the application deployment.

Documented every single work on Confluence for client and app owners help.

Achieve maximum system automation and integration through Infrastructure as Code (IaC), Web Services and scripting technologies and tools.

Created Automation using Python script for pulling the list of decom host and duplicate entries in ansible inventory from SNOW.

Followed RPAS architecture enforcing packages that are uninstalled for testing purposes and creating a API call to automate through Bigfix relevance and deploying the application on the servers.

Worked with Dell and Autosys team to automate their clients on virtual and physical environment.

Generated catalog web page for user to request self service automation for the app owner and business users on SNOW with a backend workflow.

Scheduled scanning for vulnerability check using Qualys for system scan on weekly and daily schedule to avoid cyber-attacks and other disrupted or delayed application performance.

Developed and implemented technical standards, procedures, and techniques for the resolution of Enterprise IT system problems to ensure maximum application availability and performance.

Engages with other engineering teams to improve the lifecycle of services on our platforms.

Used Packer for creating templates for RHEL 7.9 out of virtual machine for monthly patching of AMIs.

Automated other software on BigFix as a requirement for OS upgrade.

Worked on Ansible Innersource for various issues and have resolved most of the pipeline work.

Automate and accelerate the testing, release, and deployment cycles through authored scripts to automate configuration, and provisioning.

Participates in scheduled and unscheduled weekend/after-hours system maintenance and support.

Worked in an agile development team to deliver an end-to-end continuous integration/continuous delivery product in an open-source environment using tools like Ansible and Bigfix.

Experience in writing various Custom Ansible Playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate day-to-day server administration and configuration tasks.

Used scripts like Json, Yaml, Python for automating task that was assigned in every sprint.

Written, maintained, reviewed, and documented modules, manifests, Hiera configurations and GIT repositories for Ansible on RHEL and SLES platforms.

Created server build catalog for Drupal team to request OS from the operating system team.

Environment: AWS, Azure, IAM, Cloud Watch, Cloud Formation, S3 Bucket, Dynamo DB, Nagios, Splunk, Grafana, Jenkins, Docker, Kubernetes, Terraform, VMware, ELK, Ansible, MicroServices, Shell scripts, Git, GitHub, Jira,WCF, Visual Studio 2010/2012, .NET Framework 4.0 4.5, C .NET, ASP.NET, Service-Stack, Restful Services, ASP.NET Ajax, MongoDB, LINQ to Objects, RabbitMq, Data Entity Model, Developer Express Tools, JavaScript, VSS, GIT Repository, Tortoise GIT, IIS 6.0, CSS, HTML, XML, Visio.,

Client: Splunk, San Jose, CA September 2019 to September 2021

Role: Sr. DevOps/System Engineer

Worked with Cloud infrastructure based of VPC, EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, Lambda, ECS, EKS, Network ACLs, ELB, NLB, Autoscaling, IAM on AWS using Cloud formation templates and Terraform.

Created functions in Lambda that aggregates the data from incoming events, then stored result data in Amazon Dynamo DB and S3.

Used AWS Fargate in collaboration with AWS ECS and EKS for application containerization running to provide high availability, scalability, security and reliability.

Worked on AWS CloudWatch, CloudFormation, Cloud Trail services and CloudFront to set up and manage cached content delivery.

Created Continuous Integration CI with tenable vulnerability management container security for production ready environment canary releases.

Experienced in managing Azure Data Lakes (ADLS) and Data Lake Analytics and an understanding of how to integrate with other Azure Services.

Worked on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, SQL Azure, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and PowerShell Automation.

Experience in writing various Custom Ansible Playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate day-to-day server administration and configuration tasks.

Experience in Configuration Automation and Centralized Management with Ansible and Implemented Ansible to manage all existing servers and automate the build/configuration of new servers.

Expertise in using Boto3 python libraries integrating with Ansible and Terraform for Managing EBS volumes and scheduling Lambda functions for AWS tasks.

Used Detection as-code architecture for cloud native platforms to empower enhanced security and detects attacks.

Experience with container-based deployments using Docker, working with Docker file, Docker images, Docker Hub, Docker Swarm, Docker registries along with ECR.

Experience working on Docker Registries like Private, Artifactory and ECR, Creating Docker Images using Jenkins for MicroServices applications and domain configuration.

Integrated Kubernetes with network, storage, and security to provide comprehensive infrastructure and orchestrated containers across multiple hosts.

Used Jenkins and Pipelines to drive all micro services builds out to the Docker-registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

Worked on Deployment Automation of all micro services to pull image from Artifactory Docker Registry and deploy to bare metal Kubernetes Cluster.

Designed and developed rich and enhanced web pages using MVC 3.0, C sharp, Entity Framework, JSON, HTML 5, CSS 3 and JQuery.

Developed Kubernetes Helm Charts for different application rollouts and gave insights to teams using Data Dog.

For Windows (.NET) Builds Non-Container On-Prem Files Deployment, the CE 3.0 Build Tool only created container, build images, published image to artifactory, and cleans up in one stage.

Enabled Checkmarks Identifies that checkmarks analysis is enabled Identifies that SonarQube analysis is enabled Identifies that tests are enabled Identify that build is enabled Identify that the push of the artifact is enabled in docker and other environment that works on creating the pipeline for CI .Net.

Implemented CI/CD strategy in involving Jenkins, Terraform Enterprise and AWS that tracks the Security Vulnerabilities for applications running in AWS ECS using Amazon Security Hub.

Worked on Terraform modules, providers, and resources to setup vault elements like LDAP Authentication Methods, Namespaces, and Secret Engines etc.

Performed System Design/Coding for web application usingVB.NET/ASP.NET and Oracle 11g and 12c database used Toad as PL/SQL Tool.

Involved in AWS Code Pipeline using Cloud Formation/Terraform Templates and Configured S3 buckets with various Life Cycle Policies to archive the data to storage classes based on requirement.

Used Terraform to deploy the infrastructure necessary to create development, test, and production environments for software development projects.

Automated Datadog Dashboards with the stack through Terraform Scripts. Configured CloudWatch and Datadog to monitor real-time granular metrics of all the AWS Services and configured individual dashboards for each resource Agents.

Written SQL Scripts, for creating database tables with foreign key relations in SQL Server 2008/2012 using T-SQL.

Configured and managed MicroServices applications on services like AWS ECS, Elastic Beanstalk and created pipelines for automated deployments using GIT Lab.

Developed dashboards, alarms on Performance Management tools like AppDynamics to analyse behaviour/state of micro services, help understanding the possible source of the problem and prevent outages.

Responsible for writing reusable Infrastructure-as-Code (IaC) Modules by using Terraform for IaaS, PaaS and SaaS AWS cloud resources and mentoring the peers to write consumable code to automate the infrastructure provisioning for cloud applications.

Migrating existing AWS infrastructure to Serverless Architecture (AWS Lambda) by deploying Terraform (IaC) code from GitHub repositories to implement AWS Lambda functions to run scripts in response to CloudWatch events in the Amazon DynamoDB table and S3 bucket to HTTP requests using Amazon API gateway and AWS SDK’s.

Implemented DevSecOps with Jenkins to reduce threats, vulnerabilities and performed risk assessments to detect and analyse threats during the CI/CD process.

Implemented Security Scans like Static and Dynamic Application testing at each layer of DevOps life cycle and converted the existing DevOps methodologies/workflows to DevSecOps model.

Integrated ELK Stack to an existing appliance framework for real time log aggregation, analysis, and querying (Elastic search, Logstash, Kibana) and using ELK Stack, Elastic search for deep search and data analytics, Logstash, Splunk, Grafana for centralized logging, log enrichment and parsing and Kibana for powerful and beautiful data visualizations.

Understanding of network monitoring protocols including SNMP, NetFlow, WMI, syslog, etc.

Responsible for installing Jenkins master and slave nodes and involved in plugin Git and schedule jobs using hooks and Creating the build scripts using Maven for Java projects.

MicroStrategy performance to connect Redshift with drivers, building infrastructure data pipeline workflow on premises to AWS data lake - Hadoop, Spark, Hive.

Started training on Harness to migrate from regular Jenkins automation for enhanced continuous delivery process.

Involved in integrating the GIT, Bit Bucket into Legacy Puppet to ensure the integrity of applications by creating Production, Development, Test, and Release Branches.

Created WCF Service to retrieve and send information from client side without Post Back and consuming existing Web Services using SOAP, HTTP and WSDL.

Experience in infrastructure architecture and design of complex distributed systems environments, including failover techniques, recovery/rollback, and application partitioning.

Environment: AWS, Azure, AWS EC2, S3, Elastic search, Route53 (DNS), API Gateway, Cloud Formation, Dynamo DB, Docker, Kubernetes, Ansible, Maven, Jenkins, Docker, Terraform, Puppet, ELK, AppDynamics, Shell scripts, Git,C#, .Net Frame work, JIRA,MVC 5.0/4.0, ASP.NET, ASP .NET core, WCF, Java script, JQuery, CSS, Unity, Web API, IIS 7.5, React JS, HTML

Client: Synapse Group, Stamford, CT February 2017 to August 2019

Role: DevOps Engineer

Involved with planning, designing, and transforming environments from on-premises to cloud-based Work as Cloud Administrator on Microsoft Azure, involved in configuring virtual machines, storage accounts, and resource groups.

Experience working with various AWS Services like EC2, S3, ELB, Auto scaling, Route53, SNS, SES, Cloud Watch, RDS, VPC, Elastic ache, Cloud Formation, Cloud Front, Direct Connect, Ops-Works, ECS etc.

Used AWS Fargate in collaboration with AWS ECS and AWS EKS for container-based application running to provide high security and reliability.

Worked on AWS CloudWatch, CloudFormation, Cloud Trail services and CloudFront to set up and manage cached content delivery.

Responsible in creation of Cloud Formation Template (CFT) on AWS to configure and manage resources like EC2, S3, RDS, Route53, Load Balancer, EBS, Auto scaling, VPC, Subnets, IGW, Route table and Security groups.

Experience and created AWS Virtual Private Cloud (VPC), for high available multi AZ’s applications launched EC2 instances across different Subnets and delegated access to these resources using IAM roles, Policies and assigned permissions to users and groups.

Wrote Ansible Playbook to create and manage configurations of AWS EC2 instances and test playbooks on AWS instances and created AWS Infrastructure using resources like VPC, S3, Subnets, Route Tables, Load Balancer etc., using Playbooks.

Configured AWS Route53 for registering domain names and route public traffic to domains and continuously monitor the health checks of the resources by configuring Cloud watch.

Experienced in developing Ansible Playbooks to automate the provisioning of the Kubernetes cluster, trouble -shooting the Kubernetes Pods which have issues with Persistent Volume Claims.

Used Ansible Playbooks to setup Continuous Delivery Pipeline. Deployed MicroServices and provisioned environments using Ansible Playbooks.

Worked in Building a CI/CD pipeline and automate the deployment with Jenkins, Maven, Docker, Kubernetes and Ansible and integrated with SonarQube to test the code coverage, code quality, Duplicates and Sonar Metrics after static and dynamic analysis.

Expertise in working with Terraform Template key features such as Infrastructure as a code, Execution plans, Resource Graphs, Change Automation and extensively used Auto Scaling launch configuration templates for launching Amazon EC2 instances while deploying MicroServices.

Created Terraform templates for provisioning AWS resources and used Terraform graph to visualize execution plan.

Implemented Terraform Templates automating Azure IAAS VM's using Terraform modules and deployed virtual machine scale sets in production environment.

Configured and maintained Jenkins to implement the CI process and integrated the tool with Ant and Maven to schedule the builds.

Automated, Configured and Deployed Instances on AWS environments and in Data centres and migrating on premise to AWS using AWS Site Recovery and AWS backups.

Configuring, automation and maintaining build and deployment CI/CD tools Git/GitLab, Jenkins, Bit Bucket, Docker Registry, Nexus, and JIRA for Multi-Environment.

Used Amazon Web Services (AWS) for Development, Test and UAT environments for all customers regardless of final Production platform (SaaS Cloud, Private secure cloud) to speed up development/ deployment process and work within CI/CD framework (Team City, Octopus Deploy).

Enabled Continuous Delivery through Deployment into several environments of Test, QA, Stress and Production using Jenkins. Hands on experience in automating builds and deployment process using Shell scripting.

Used CI/CD Pipeline to drive all MicroServices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes, and used Ansible playbooks to create clusters in Kubernetes by using Jenkins.

Deployed Kubernetes cluster on AWS using Kops with Multi Master Setup to increase the availability, deployed Consul Clusters for service discovery, and communicate with Docker Containers in PODS.

Experience in Writing Restful API's using Ansible playbooks, python scripting involved in Building Micro service architecture with spring boot and Docker containerization and Worked CI/CD pipeline for all the Micro services through Jenkins and build using Maven using Deployments through Ansible server.

Environment: AWS (EC2, RDS, S3, VPC, Cloud Watch and Route 53), Azure, ELK, Ansible, Kubernetes, Jenkins, GIT, Chef, Maven, CI/CD, Nexus, Jira, Nagios, Python, Shell Scripting, Nagios.

Client: Sprint, Overland Park, KS February 2016 to February 2017

Role: Build Release Engineer

Installed Involved in Create/Enhance/automate build

Contact this candidate