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Devops Engineer Resume Burnsville, MN
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Title Devops engineer
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                                                        DevOps EngineerName: Candidate's Name
Gmail : EMAIL AVAILABLEPhone : PHONE NUMBER AVAILABLE
PROFESSIONAL SUMMARY:      Around 4+ Years of extensive work experience in IT industry on AWS, Build & Release and Linux administration.
      Expert in understanding Operating Systems like Linux, UNIX, Windows      Worked with system, network, security and storage teams to prepare and configure new servers for the environment.      Experience in Monitored System Activities like CPU, Memory, Disk and Swap space usage to avoid any performance issues.      Experience on AWS cloud services like EC2, S3, RDS, ELB, EBS, VPC, Route53.      Experience in creating and maintaining Auto scaling groups, IAM user roles, policies, EC2 Container Service (ECS) and Load Balancers.      Designed and implemented RESTful APIs using Node.js, facilitating seamless integration between microservices and improving overall system performance.      Experience with administration, maintenance and operations of different AWS Cloud resources and management services like Elastic Beanstalk, S3, RDS, Lambda, SQS, Cloud Front, SNS, Cloud Watch and Cloud formation templates.      Configure AWS VPC with public and private subnets, configured Routing tables, Internet gateway, ACL s, Security groups.      Skilled at Software Development Life Cycles Agile technologies and waterfall.      Experience in using Configuration Management tools like Chef and Puppet. Authored many recipes and cookbooks for node management. Wrote many manifests for different modules to be configured remotely.      Experience in setting up of Docker and creating new images and getting images from Docker Hub, worked on Docker images and containers for deploying applications.      Executed application deployments using Kubernetes best practices, including rolling updates and canary deployments, ensuring minimal downtime and high availability.      Implemented horizontal and vertical pod autoscaling in GKE to optimize resource utilization and ensure application performance under varying loads.      Experience in monitoring servers with NRPE plugin in Nagios tool. And also, Nagios helps to trigger the event handlers to send a notification and act according.      Expert in deploying the code onto web application servers like JBOSS/ Apache Tomcat.      Experience in integrating Unit Tests and Code Quality Analysis Tools like JUnit.TECHNICAL SKILLS:      Operating Systems: UNIX, LINUX, RHEL, Windows.
      Languages: C, C++, shell scripting, Python.      Source code control tools: GIT.      CI Tools: Jenkins.      Infrastructure as Code (IaC) : AWS Cloud Formation, Terraform.      CM Tools: Chef, Puppet, Ansible      Container services: Docker, Kubernetes, Amazon EKS.      Cloud Technologies: Amazon Web Services (AWS), Google Cloud Platform (Compute Engine, App Engine, Cloud Storage).      Monitoring tools: Nagios, Prometheus      Web servers: Apache Tomcat, JBOSS.      Databases: SQL SERVER, MY SQL, S3, RDS.      Testing tools: Junit.EDUCATION      Bachelors - Computer Science at SRK University Bhopal, India.      Masters- Information Technology from Concordia University St. Paul (USA) in 2023.PROFESSIONA L EXPERIENCE:Client: Wellstack, USA                                                                                             Mar2023-Present Role: AWS Jr. DEVOPS EngineerResponsibilities:      Created and Configured Red Hat, Ubuntu, CentOS, Solaris Virtual Machines in AWS using EC2, Elastic IP, VPC, Subnets, Route Tables, NAT Gateway      Developed Automation Scripts: Created Python scripts to automate deployment processes, resulting in a 30% reduction in deployment time and minimizing human error.      Led the management and orchestration of containerized applications using Google Kubernetes Engine (GKE), implementing best practices for cluster setup, upgrades, and maintenance.      Set up CI/CD pipelines with tools like Jenkins and GitLab CI for JavaScript applications, reducing deployment times by 40% and increasing code quality through automated testing.      CI/CD Implementation: Designed and implemented CI/CD pipelines using Jenkins and Python, enabling rapid integration and deployment of code changes.      Streamlined application deployment processes using Ansible, reducing deployment time by 50% and minimizing manual intervention.      Experience with Docker, microservices, Helm charts, and scripting (TypeScript). Proven skills in service mesh (Istio), security best practices, and configuration management in AWS environments.
      Implemented a robust CI/CD pipeline using Jenkins and Docker, which reduced deployment time by 40% and improved application resiliency through automated testing and deployment strategies.      Optimized system performance and scalability by developing infrastructure-as-code solutions with Terraform and Kubernetes, achieving a 50% increase in system uptime and a 30% reduction in latency.      Configured SNS, SQS, RDS, DynamoDB, S3, IAM, Cloud Front and ELB to setup environment ready for cloudification.
      Demonstrated strong proficiency in managing Google Cloud Platform services, including Compute Engine for virtual machine provisioning, Cloud Storage for scalable object storage, and Cloud Networking for optimized resource connectivity.      Configuring of VPC and Route 53 DNS with networking of subnets containing servers.      Creating alarms in CloudWatch service for monitoring the server s performance, CPU Utilization, disk usage etc.      Used AWS lambda to run servers without managing them and to trigger to run code by S3 and SNS.      Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.      Used GIT for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven.      Performed Continuous Integrated delivery (CI and CD process) using Jenkins.
      Created and maintained Puppet Modules to manage configurations and automate installation process. Deployed Puppet and Puppet DB for configuration management to existing infrastructure.      Implemented Chef Knife and Cookbooks for Deployment on internal Data Centre Servers. Also re-used and modified same Chef Recipes to create a Deployment directly into EC2 instances.       Environment : AWS, Git, GitHub, Jenkins, Puppet, Cloud Watch, UNIX, EC2, S3, RDS, ELB, EBS, Cloud Formation, Puppet, Maven.Client: Miracle software solutions                                                                    Oct2021-Aug2022 Role: Jr Devops EngineerResponsibilities:      Configured EC2 instances with different Ami (Amazon machine Images) and different types of instances suitable for different criteria.      Configured Elastic Load Balancers with EC2 Auto scaling group      Infrastructure as Code: Utilized Python-based tools like Terraform and Ansible for infrastructure provisioning and configuration management, leading to consistent and reproducible environments.      Auto scaling groups, CloudWatch, CloudFront, IAM for installing configuring and troubleshooting on various Amazon Images.      Build servers using AWS: Importing volumes, launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES and SNS in the defined virtual private connection.      Creating alarms in CloudWatch service for monitoring the server s performance, CPU Utilization, disk usage etc.      Managed users and groups using the Amazon Identity and Access Management (IAM).      Maintaining the user accounts (IAM), RDS, Route 53, SES and SNS services in AWS cloud.      Provision of RDS instances, managing instances by scaling, backup and security.      Provisioned Amazon RedShift for large volume data and creating clusters, fetching data from s3 and giving authorize access to clusters.      Setting up private networks and sub-networks using Virtual Private Cloud (VPC) and creating security groups and access control lists to associate with the networks.      Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.Client: Melbtech,  Hyderabad  India                                                                 Aug2020-Sep2021 Role: Linux System AdminResponsibilities:      Installation of patches and package management using RPM and YUM in Red hat Linux.      Created and modified application related objects, created users, roles and maintained system security.      Experience in Server OS Installation, Using alternate disk installation method for the same for critical servers to reduce time      Experience in performing system Administration and performance monitoring Tasks on Linux servers.      Monitored System Activities like CPU, Memory, Disk and Swap space usage to avoid any performance issues.
      Develop framework for System Automation, Design and Automate LDAP security groups and permissions.      Responsible for setting up cron jobs scripts on production servers.      Configuration of Services such as FTP, DNS, SSH.      Managed Network troubleshooting applications TCP/IP including Ethernet, IP addressing & Sub netting, routing.
      Maintained source code repository in subversion.      Experience with Apache tomcat web servers for application deployment.      Experience in developing dynamic web-based user interfaces using HTML and Java.Environment: Linux, Subversion, Ant, Maven, Apache tomcat, MySQL, bash, Shell scripting, Java/J2EE.

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