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Title Linux Systems Application Development
Target Location US-AZ-Phoenix
Email Available with paid plan
Phone Available with paid plan
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Name: Syed AliEmail: EMAIL AVAILABLEContact: PHONE NUMBER AVAILABLEProfessional Summary:I am a committed cloud enthusiast with 9 years experience in IT industry who operates in the fields of DevOps, Cloud, Continuous Integration and Continuous Delivery (CI/CD), Linux Systems Administration and solving complex problems using innovative solutions. My area of expertise includes Build and Release Management, ServiceVirtualization, Android application development among others.During my journey I have extensively used build tools like MAVEN and ANT to generate deployable artifacts such as WAR, JAR and EAR from source code. Also, I have UNIX administration proficiency especially in the context of DevOps management.I have also executed services virtualization requirements understanding for Virtual Service Interfaces (VSI) development based on WSDL/WADL protocols or request-response pair recording.A solid background in DevOps engineering and cloud services has been developed over time with significant exposure to AWS and Microsoft Azure.My Azure expertise includes usage of various Azure services such as Azure CLI, Azure Management, PowerShell that help manage cloud efficiently. Additionally, I have practical skills in configuring Jenkins CI pipelines, running Docker containers for web applications as well as Puppet automation for infrastructure provisioning.More so, I have Puppet development, I get involved by creating modules and manifests for infrastructure automation across multiple nodes. My Proficiency in Middleware Management such as IBM HTTP/Apache Web Servers andhaving an experience with various bug tracking tools including JIRA, Remedy, and HP Quality Center.As far as scripting is concerned, I am SSHP expert who also knows Python and SQL with emphasis on DevOps Tools (CI/CD) AWS Cloud Architecture. Also, I have been actively involved in moving our existing AWS infrastructure into serverless architecture by using services like AWS Lambda and API Gateway.Moreover, designing scalable cloud-based applications on both the AWS platform and Google Cloud Platform (GCP) which uses tools like Terraform to deploy infrastructures. My knowledge base extends to Kubernetes orchestration, ELK stack administration as well as managing containerized microservices. To achieve this automation deployment process & a seamless software delivery flowline workflow with Docker, Kubernetes, Ansible or even Terraform has been my area of focus.Besides, I am conversant with version management systems like Git and SVN and have a working knowledge of supervisory tools such as Nagios, Splunk and CloudWatch.Worked on modern CI/CD pipelines using tools like Jenkins X, GitLab CI/CD or GitHub Actions, Capable of doing infrastructure in code (IaC) using Terraform, Ansible or Pulumi to automate provisioning and configurationmanagement. Designed microservices architectures and serverless computing through such technologies as AWS Lambda Google Cloud Functions or Azure Functions.Fluent in monitoring and observability tools such as Prometheus Grafana ELK stack (Elasticsearch Logstash Kibana), or Datadog.Skilled at version control systems like Git, having hands-on experience with GitOps practices for managing infrastructure and deployments.To ensure code quality and reliability, worked on the implementation of automated testing frameworks (like: Selenium, Cypress, or JUnit).For Infrastructure monitoring, incident responses etc., using tools such as PagerDuty, OpsGenie or VictorOps has been part of my experience. Security best practices and compliance frameworks, for example CIS benchmarks, OWASP; PCI-DSS have been implemented in CI/CD pipelines.To conclude, my expertise in cloud technologies, DevOps procedures and automated instruments is vast, besides a desire to deliver quality software quickly. My diverse skills and love for introducing new things can make me a valuable part of any IT environment striving to be the best in cloud-based operations and development, I have also collaborated with cross-functional teams to optimize software delivery pipelines thus enhancing overall efficiency and productivity.Education:Master of Science in Information Technology.Certifications:AWS Associate Solutions ArchitectCertified Kubernetes Administrator (CKA)Certified Kubernetes Application Developer (CKAD)Technical Skills:Cloud TechnologiesAmazon Web Services, Microsoft Azure, GCP.Version Control ToolsGit, GitHub, GitLab, Bitbucket, SVNContainerization ToolsDocker, Kubernetes, AKS, EKS, GKEScripting LanguagesPython, Bash, PowerShell, Terraform, ARM Templates, YAML, Ruby, Groovy.ProgrammingLanguagesC, C++, HTML5, CSS, PHP, PL/SQL, Java, and JavaScriptCI/CD toolsJenkins, Bamboo, Azure CI/CD, Octopus, GitHub, Concurse and Harness.Static code Analysis &Code Coverage ToolsSonarQube, sonar Cloud, Checkmarx.VirtualizationVMware, VCAC, VCenterConfigurationManagement ToolsAnsible, Chef and Puppet.Web/App serverWeb Logic Application Server 9.x, 10.x, Apache Tomcat5.x/7.x and Nginx.DatabaseDynamo DB, MongoDB, Oracle, SQL Server, MySQL.Operating SystemWindows, Linux, UNIX, RHEL, Centos, Ubuntu.Network ServicesLDAP, DNS, DHCP, FTP, LAN, WAN, VPN and Firewalls.Bug Tracking ToolsJIRA, ServiceNow, Junit, Bugzilla, Remedy, Clear Quest, Azure Devops.Monitoring Tools:Nagios, AWS Cloud Watch, Splunk, ELK, Prometheus, Grafana, New Relic and Dynatrace.Professional Experience:Client: UnitedHealth Group, Chicago IL. December 2020 to present. Role: Sr. DevOps Engineer  Sr. Cloud EngineerResponsibilities:Constructed and installed virtual data center in Amazon Web Services for Enterprise Data Warehouse, which included VPC, subnets, security groups and ELB.Used Google Cloud Platform services such as compute engine, cloud storage, and deployment manager.Created CI/CD process alongside with the help of development teams.Proficient in Azure infrastructure management including Azure Web Roles, SQL Azure as well as Azure Hybrid Identity. Designed AWS CloudFormation templates whereas used EC2 RDS S3 among other AWS services.Good knowledge of Docker components and Jenkins server administration.Utilized CloudWatch to monitor AWS DynamoDB integration using Lambda.Established CI/CD pipelines on AWS by means of Code Build Code Deploy and Code Pipeline.Automated administrative tasks through Groovy Shell Python scripts among others.Implemented continuous integration/delivery environments using Jenkins Maven Puppet etc. Developedpresentation layer along with controller layers using JSP HTML Spring also including Node.js Integration. Configured Docker Engine, created custom Docker images, deployed containers on AWS.I have installed and configured SCM tools on Amazon EC2 instances and Chef. Managed AWS instances, Chefcookbooks, and used Elasticsearch Cluster for log analysis. Skilled in AWS services like EC2, S3, Glacier, CloudFront, and DynamoDB.I automated AWS S3 operations and instance control with Python scripts.Provisioned Terraform and CloudFormation for EC2 instances.Created Ansible Playbooks for provisioning purposes and used Ansible Tower to deliver to AWS more efficiently. Integrated Jenkins with Ansible for automation and implemented Jenkins Workflow for deployments as well.Worked on Dockers components as well as Kubernetes which is a container management tool.Designed and implemented custom Grafana dashboards to visualize AWS CloudWatch metrics, providing insightful monitoring and analysis of system performance and resource utilization.Implemented Grafana in high-availability setups using AWS services like Elastic Load Balancing and Auto Scaling Groups, ensuring reliable access to monitoring data even during peak loads or failure scenarios.Implemented continuous delivery framework using Jenkins, Puppet, Chef & Maven.Proficient in Splunk-DB connect for real-time data integration.Deployed Docker containers in different environments including administration of Development, Test and Production environments carrying Windows, Ubuntu, Red Hat Linux, Centos servers.Client: SC Johnson, Chicago, Illinois. November 2019 to Nov 2020. Role: Sr. DevOps Engineer  Sr. Infrastructure Engineer.Responsibilities:I worked with Amazon Web Services (AWS) services such as Storage Service (S3), Relational Database Service (RDS), Elastic Block Store (EBS), Elastic Load Balancer (ELB) and Auto Scaling Groups to optimize deployments using Chef, Python and AWS Cloud Formation Templates. Also, in the VPC I configured IAM of AWS and Security Groups for managing IAM accounts and policies to ensure security compliance.Additionally, different on-premises applications were moved to Azure or OpenShift or other cloud platforms focusing more on Azure IaaS and ARM templating.In fact, my main emphasis was on achieving high availability as well as fault tolerance by designing and deploying applications on AWS stack.More so, I managed AWS infrastructure with CLI and API including use of Cloud Formation templates for resource deployment. Likewise Terraform has been applied in making a template for an Amazon web service infrastructure that enables custom VPCs design together with NAT subnets.By use of tools like ELBs and Auto-Scaling that allow scalability along with availability this migration was done onto cloud-based systems which are hosted inside Amazon data centers.Windows Azure migration happened with the assistance of Azure Site Recovery together with Logic Apps following On-Premises Applications migrations steps.As a DevOps engineer, I worked on automating build, configuration, deployment and testing of enterprise software both on-premises as well as in the cloud.Configuration management was included through several popular AWS services including EC2 instances; Elastic Beanstalk; RDS  Relation Database Services; along with CloudWatch.Having identified distributed file system suitability for cloud storage application purpose, I also tested private storage clouds using OpenStack SWIFT software.About years experience in managing projects in medical environment project coordinating emergency and release management. Several guidelines have been developed based on some findings from these works including Worked out build and deploy scripts employing Groovy, Python, and UNIX for different products.Managed CI/CD procedures through CloudFormation, Terraform patterns, Docker boxes.Produced Ansible playbooks to configure Kafka clusters EC2 instances.Created beanstalk deployment pipelines in Jenkins CI on AWS.Employed Scrum and Jira as Agile tools as well as continuous delivery tools like Run Deck and Nexus.Controlled infrastructure creation and administration Jenkins jobs.Designed, optimized, and troubleshot LAN/WAN networking systems.The projects were agile ones which enabled DevOps team to release the critical functionalities for cloud-based services. Wrote JUnit framework backed unit tests.Developed web applications using Django, Flask, and Spring frameworks.Constructed JSON editor-based Azure Resource Manager Templates.Built automated processes that monitor disk usage and help in cleaning LINUX environments.Utilized OpenShift clusters running on AWS while taking advantage of Docker containers.Integrated DevOps-tools such as SonarQube, Nexus, Ant with Jenkins by applying Kubernetes, Docker for the runtimeClient: Dell Technologies, Austin, TX February 2015  September 2019. Role: Build & Release EngineerResponsibilities:As a Build and Release Engineer, I specialized in automating release processes for Java and .NET applications to achieve continuous integration and delivery.My work included software baselines management, code merging, branching and labeling activities that enabled development  infrastructure team collocation.Meanwhile, I used Jenkins to implement CI/CD pipelines for deploying code automatically while using ANT and MAVEN build deployment scripts on Jenkins build farm.Besides, I maintained user accounts as well as cloud-based AWS SQS and SNS services.Implemented Continuous Integration systems using Ant, Maven, Jenkins, and Hudson for java-based projects.I have rich experience with version control tools like GIT & SVN that are integrated into Jenkins to enable it run smooth building processes. It is worth noting that shell scripting was essential when it came to effective build automation.On the administration front some of the source control solutions I have managed include Subversion (SVN), Git/GitHub and Gerrit while the CI/CD process has been integrated in Jenkins, Nexus, Yum and Puppet.Continuous integration and delivery pipelines for ASP.NET MVC applications via Visual Studio Team Services (VSTS) and Azure web apps are ones that I set up.In addition to this, Docker and OpenShift platforms were the ones I worked on while developing, shipping, and running applications.Additionally, Kubernetes was a platform which I helped in setting up to cluster and orchestrate Docker containers in production mode for running microservices.Above all, my great experience is based on source code control systems particularly GIT which include branches, merging, as well as tags.Client: Infor, New York, NY May 2014  January 2015.Role: DevOps Engineer  Linux Administrator Responsibilities:Installed, configured, and maintained Red Hat Linux and Solaris servers, performing duties such as backup, recovery, RPM package management and YUM.Managed a variety of servers on Linux platforms including Apache/Tomcat, mail, MySQL database system and SVN repositories.Controlled routine LVM tasks such as changing drives, managing volume groups and extending file systems.Done the regular backups and restores using Veritas NetBackup 5.1 as well as checked up on the performance of the system along with the network.Deployed enterprise Unix systems including installation, patching and analysis for monitoring purposes.Created automated scripts to build/administer Linux compute nodes while working on HPC cluster setups.Configured DHCP services, setup SSH & NFS security implementations.Performed daily activities which included setting up user accounts/groups, machine installations/upgrades for RHEL systems Automated disk utilization checks using shell scripting & CRON job for file system clean-up processes.Provided production support for web/application servers like Apache/JBoss/Tomcat/ also managed VM environments.Responsible for database administration tasks involving MySQL or Oracle or similar databases programs.Good knowledge of various network protocols HTTP/UDP/FTP/TCP/IP etc.

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