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Vunnsm - SRE DevOps Engineer

[email protected]

Location: Charlotte, North Carolina, USA

Relocation:

Visa: H1B

SAI KUMAR 832 862 3699 [email protected] Professional Summary: 10+ years of experience in highly available business applications for enterprise customers like Cloud Computing, Linux System administration, and Security Management. Over 3+ years of work experience as DevOps Engineer, proficient in Puppet, Chef, Jenkins, AWS, Salt, Git, ANT, Maven, Tomcat and JBOSS. Experience in Installation, configuration, tuning, security, backup, recovery, and Operating System upgrade on Red Hat Linux (RHEL 5, 6), Unix, Centos and Ubuntu. Experience in working with multiple public and private cloud Platforms like Amazon Web Services. Expertise on Linux administration and shell scripting. Worked on Amazon Web Services (AWS) infrastructure with automation and configuration management tools such as Chef and Puppet. Proficient in using all amazon web services like EC2, EBS, ECS, IAM, S3, ELB, RDS, VPC, Route 53, Cloud Watch, Cloud Formation etc. Defined AWS security groups which acted as virtual firewalls to control the incoming traffic onto one or more AWS EC2 instances. DevOps improving and redesigning build systems for Java Web Apps with integration of Auto-scaling Solutions with EC2, Ansible and Jenkins. Proficiency in using Ansible and Chef for deployment automation. System design, Support process design, network design and automation through chef. Experience with Linux system administration and virtualization (Red Hat, Ubuntu, and VMWare). System administration experience on Installation, Configuration, maintenance, and Administration of RHEL 4,5,6 Sun Solaris 8,9,10 and windows. Working experience with Amazon Redshift clusters. Experienced on installation of Packages and Patches in Linux using red hat Satellite server. Experienced with Jenkins as Continuous Integration / Continuous Deployment Tool. Experienced with Nagios, Cloud Watch as IT Infrastructure Monitoring tool, and knowledge on Splunk. Experienced with Python, and Shell Scripting Languages and passionate about learning new scripting languages on demand. Extensive experience with deployment and build management system tools such as Jenkins/Maven and version control system tools like GIT, SVN. Implementing new projects builds framework using Jenkins & maven, ANT as build framework tools & amp; Nexus in Linux environment. Experienced in implementing and maintaining an Apache Tomcat /MySQL/PHP, LDAP, LAMP web service environ-ment. Good Interpersonal Skills, team-working attitude, takes initiatives and very proactive in solving problems and providing best solutions. Highly motivated to learn new developments in technology with strong analytical problem-solving skills and a flair for creativity. Worked closely with Project manager, development, testing and production team to align project delivera-bles, dates, and report issues/concerns. Technical Skills: Cloud services Amazon Web Services: EC2, S3, ELB, Auto scaling, Elastic Beanstalk, Cloud Front, Cloud Formation, Elastic Filesystem, RDS, DMS, VPC, Direct Connect, Route 53, Cloud watch, Cloud trail, IAM, SNS, Redshift. Azure , KeyVault, Apps insights, Kayvault, Kubernetes Services, .NET Openshift-Redhat, YAMLTemplates, Ansible. Operating Systems Red Hat Linux 9/8/7.2/7.1/6.2, Suse Linux 10.x/9.x, OS/390, Sun Solaris 10/ 9/8, IBM AIX 5.3/5.2/5.1/4.3.x and Windows 2003/2000/NT Server DevOps Tools Jenkins, Ansible, Chef, AWS, Ruby, BASH, GIT, Subversion Languages C, C++, JAVA, SQL, PL/SQL, PHP, Visual Basic Database Technologies Oracle, DB2, SQL Server, MySQL, Mango DB, No SQL Reporting Tools SAP Business Objects XI R2 and Oracle Hyperion EPM Scripting Languages Shell, Python, PERL, JYTHON Markup Languages HTML, XML/XSL and DHTML, PHP Web Servers Apache, Tomcat Virtualization VMware Client, VSphere Client Work Experience: HHSC-state, Austin, TX Aug 2022-Present Sr SRE/DevOps Engineer Responsibilities: Design and implement deployment strategies for production environments. Conduct zero-downtime deployments with rolling updates or blue-green deployments. Set up alerting and notification systems for incident response. Implement continuous delivery (CD) practices for automated, reliable deployments. Configure Datadog and Grafana alerts and Application Health Monitors to notify the team when anomalies or problems occur. Analyze system performance data using Snowflake to plan for capacity upgrades or optimi-zations, Ensure the system can handle expected growth in traffic and data using the tools by get-ting the Lags and behavior of the Application. Worked on Managing the Linux distributed Platforms using the Kubernetes Architecture. Manage Kubernetes clusters and OpenShift environments for deploying and scaling con-tainerized applications. Worked on Managing the Jenkins Pipeline using the Groovy and Shell Scripting. Implementing and managing the infrastructure using Ansible and Maintaining the version-controlled infrastructure code using Gitlab for consistency and repeatability. Use Terraform and Ansible scripts to define and provision infrastructure resources in a re-peatable and automated manner Work closely with development teams to promote a DevOps culture and ensure reliability is built into software from the start by following the best Practices. Collaborate with other SREs and engineers to share knowledge and solve complex prob-lems on a weekly basis and touch base all the points. Worked with MVC Application for UI to deploy into Azure Cluster using the Kubernetes Ar-chitecture and Maintained it through Pipelines using the Groovy Script and Jenkins. Collaborate with cross-functional teams to streamline the release process. Manage and maintain Linux servers for hosting applications. Monitor server health, performance, and resource utilization. Apply security patches and updates to keep servers secure. Automate server provisioning and scaling to meet application demands Manage and orchestrate containerized applications using Kubernetes clusters. Deploy, scale, and maintain microservices within Kubernetes. Create and manage Kubernetes resources (pods, services, deployments) using YAML manifests. Implement rolling updates and blue-green deployments for zero-downtime releases. Monitor cluster health and performance, and troubleshoot issues. Implement security best practices, such as role-based access control (RBAC) and network policies. Integrate Kubernetes with CI/CD pipelines for automated deployments. Containerize microservices using Docker. Implement service discovery and load balancing for microservices communication. Define API gateways for routing and managing traffic to microservices. Set up logging, monitoring, and error handling for microservices Collaborate with development teams to ensure seamless integration of microservices into the CI/CD pipeline. Implement pipeline as code using Jenkins file for version-controlled pipeline configuration. Set up agent nodes for distributed builds and testing. Automate release management and coordinate with deployment processes. Create and configure Jenkins pipelines for building, testing, and deploying applications. Integrate Jenkins with version control systems (e.g., Git) for automated code builds. Skills: Jenkins, kubernetes, Azure, Dynatrace, Linux Servers, MVC, Jenkins, Podman, Postman, Groovy, Shell, Python, Gitlab, Version controlling, Docker, Jira, YAML, Veracode, SRE, Datadog, Carrier Global, Raleigh, NC Sep 2021- Aug 2022 AWS DevOps/SRE Engineer Responsibilities: Design and build high-performing applications and infrastructure that will enable a continuous deployment and delivery pipeline. Develop reusable, scalable, and testable automation scripts and tools for routine and repetitive tasks. Conduct performance tuning and capacity planning activities across an entire infrastructure stack Troubleshoot and expeditiously resolve escalated software and infrastructure related issues and challenges. Explore and evaluate new and emerging software tools and technologies Advocate DevOps best practices and mentor engineers across the company and within the local community deeply involved with the design and build process of our next generation of customer-facing applications and underly-ing infrastructure. Use Terraform and Ansible scripts to define and provision infrastructure resources in a repeat-able and automated manner. Create and maintain Ansible playbooks to automate routine tasks, configurations, and deploy-ments. Use the GitHub Actions for CI/CD Activities to continuously build and deploy the code and Im-plement CI/CD pipelines to streamline application updates. Develop and test disaster recovery plans to ensure data and service availability in case of ma-jor failures or disasters by creating the tools using the Go. Independently troubleshoot technical issues, explore new and emerging technologies, and work with a team of engi-neers to build an amazing product that will be used by millions of customers each day Support requirements gathering, rapid prototyping systems and services, agile builds and deployment to production, and operational support for the production systems. Partner with Application Architects to review and implement business requirements. Focus on leading design, buildout, and administration of the AWS infrastructure. Manage release and deployment cycles for highly available, scalable production infrastructure. Partner with Project Managers on estimates, statuses, identifying issues and raising risks Environment: AWS, LeanIX, Jenkins, GitHub, Docker, Kubernetes, Jira, Podman, Datadog, Splunk, Groovy, Django, Artifactory, Shell Scripting, CFT, Terraform, Azure, SRE Capital One, Richmond, VA June 2018 Sep 2021 AWS/ Cloud DevOps Engineer Responsibilities: Designed and deployed a multitude application by utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance and auto-scaling in AWS Cloud formation. Responsible for maintaining and handling environment related components like Cassandra Database connectivity, Memory allocation, AWS ECS, Docker, Elastic cache, Redis. Created tagging standards for proper identification and ownership of EC2 instances and other AWS resources. Deployed applications on AWS by using Elastic Beanstalk. Responsible for designing roles and groups for users and resources using AWS Identity Access Management (IAM). Utilize Cloud formation and Ansible by creating DevOps processes for consistent and reliable deployment methodol-ogy. Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments. Involved in migrating desktop applications from on premise data centers to the cloud environment such as AWS. Create and maintain the Kubernetes Cluster s Operation, involved in enhancing the Updates, cost management of the Cluster s, and also Allocating Cluster s to the Application user s as per Request. Built an Extensive Larger Application, where data Scientists perform their Regular BAU Activities using the Resources Provided by our Application team. Experience in managing configuration of web applications and deploying through AWS cloud server by using the con-figuration management tool Chef. Involved in Participating for the Release Deployments and Maintaining all the User s Requests and Performing the Release Activities using BLUE/GREEN Deployment Methodology. Involved in implementing deployments into AWS EC2 using Terraform. Utilized AWS console in conjunction with Terraform to create and manage instances, Used Docker hub for creating Docker images and handling multiple images primarily for middleware installations and domain configuration. Developed automation scripting in Python to deploy and manage Java applications across Linux servers. Configured GIT Repositories to manage source code using Bamboo Integrated the JUnit and SonarQube plugin to Jenkins to publish the test result report and code quality check-up and uploaded the Artifact/Binaries to the Nexus Binary Repository Manager and Artifactory after every successful build from Maven/Ant. Extensively worked with bug tracking, Issue tracking and project management functions by using multiple software. Responsible for design, implementation and end to end operations of the infrastructure platform and services that pro-tect both Intel Security's Cloud Consumer and Enterprise Customers. Performs daily administration activities on LINUX and UNIX systems, Windows Servers, from adding space and re-solves ticket requests from the customers. Environment: Amazon Web Services (AWS), GitHub, Maven, Jenkins, Chef, Docker, Docker Containers, Kubernetes, Terraform, Nexus, Sonar Qube, Spring Boot, Micro Services, Jira, SOA, Splunk, YAML, shell, Python, Java Script. Old Castle Materials, Atlanta, GA June 2017 May 2018 AWS/Cloud DevOps Engineer Responsibilities: Experienced in AWS Cloud Computing services, such as EC2, S3, Lambda, API, Dynamo, EBS, VPC, ELB, Route53, Cloud Watch, Security Groups, Cloud Trail, IAM, Cloud Front, Snowball, EMR, RDS and Glacier also worked on DNS, SSL and Firewalls. Experience in Azure Platform Development, Hosted Cloud services, Platform as a service and Windows Azure Multi-Factor Authentication projects. Wrote Shell scripts and Perl, Bash, Ruby and Python scripts to automate the deployments. Experience in Private Cloud and Hybrid cloud configurations, patterns, and practices in Windows Azure and SQL Azure and in Azure web and database deployments. Wrote Ansible Playbooks to Manage Configurations of AWS nodes and Tested the written Playbooks on AWS in-stances using Python and responsible for running Ansible Scripts to Provide Configurations to Web and Application servers. Implemented a Continuous Delivery pipeline with GitHub, Jenkins, Docker and AWS AMI's, whenever a new GitHub branch gets started, automatically, Jenkins, our Continuous Integration server attempts to build a new Docker container from it, the Docker container has the AMI baked in and leverages Linux containers. Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker on GCP. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy. Worked with Docker containers and Kubernetes on multiple clouds, helped to bridge the gap between developers and operations by providing the same environment with the help of Docker and Kubernetes. Built and managed the Docker container clusters managed by Kubernetes, used the Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and deploy the code. Setup JFrog Artifactory on AWS, single copy of any binary is ever stored on this file system. Worked on the Spring Applications using the Java Architecture and helped to manage the Deployments. Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kuber-netes manifest files and Managed releases of Helm packages. Used Ansible for configuration management, creating the inventories to define the group of hosts for different groups like Dev, Test, Pre-Prod, Prod and configured the requirements, used Ansible Vault for securing the sensitive data. Built scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments. Configured GIT with Jenkins and schedule jobs using POLL SCM option. Experienced in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux platform. Implemented Micro-services using Pivotal Cloud foundry (PCF) platform build upon Spring Boot Services and cre-ated workflows on TeamCity for setting up automated pipelines for CI/CD with PCF. Environment: Linux, ANT, Maven, Nexus, Puppet, Jenkins, Docker, SOA, Kubernetes, Nginix, Django, Nagios, GIT, AWS EC2, Route 53, S3, VPC, Auto scaling, ELB, Shell Scripts, Podman, Unix/ Linux environment, PCF, Azure, JFrog HBO Limited, Woodbury, NYC March 2016 May 2017 AWS/ DevOps Engineer Responsibilities: Worked in within the Environment of ALM successfully and deployed the applications. Participated in the release cycle of the product which involve environments like Development QA UAT and Produc-tion. Responsible for configuration, maintenance, and troubleshooting of .com Project. Perform biweekly build cycle and testing processes on Solaris. Developed utilities for developers to check the checkouts, elements modified based on project and branch. Responsible for designing, modifying and maintaining database driven Web Applications for Apex Upgrade Sys-tems. Deployed SQL server Databases and worked with backing up os data bases and deploy the application successfully. Created different reports for management, marketing and development department needs. Learned the theory of genetic algorithms and used it to improve site search. Directly involved in the development efforts to produce custom data driven multi- tiered applications and Web Ser-vices. Experience in working with Heroku Cloud Platform service for various Web applications. Worked on with Azure Platform on wide variety of applications deployment. Experience in working with Amazon Cloud watch by monitoring Log Files and set Alarms and monitor AWS resources like EC2 Instances. Responsible for creating or maintaining the HTTP Protocols for communication between the variety of hosts and cli-ents, and supports a mixture of network configurations. Developed Hibernate in Data Access Layer to access and update information in the database Used Ant Scripts to automate the build process. Hands on Experience with Amazon Redshift clusters and data encryption. Worked on Amazon RedShift Snapshots which act as like backup files. Responsible for coding the infrastructure with the template language JSON format. Responsible for checking the template cloud and upload it in to S3 Buckets. Responsible for Stack based on to the template code using with the AWS cloud formation via the Browser console like Command line tools or API s. Implemented cloud services AWS. Experienced with AWS Red shift in data ware housing. Developed UNIX and Perl Scripts for the purpose of manual deployment of the code to the different environments and E-mail the team when the build is completed. Deployed application modules to WAS based clusters via ND admin console Created deployment request tickets in Bugzilla for deploying the code to Production. Attended the Minor/Major Event change control meetings to get necessary approvals for the deployment request. Suggested latest upgrades and technologies for NoSQL databases. Evaluated system performance and validated NoSQL solutions. Used Perl/Shell to automate build and deployment Process. Implemented a Continuous Delivery framework using Jenkins, maven & Nexus in Linux environment Coordinated with developers, Business Analyst and Mangers to make sure that code is deployed in the Production environment. Executed the DB Scripts (DML and DDL) which have dependencies on the code on Oracle DB. Documented the deployment process (Migration Doc) of code to production on an Excel Sheet. Environment: ANT, WebSphere, DevOps ALM, Azure, AWS Cloud Formation, PodMan, Perl/Shell Scripts, Web Appli-cations, HTTP Protocol, Kubernetes, Mesos, Cloud Watch, Sensu, Hibernate, Heroku, UNIX, Django, Bugzilla, Active Directory, Jenkins, Puppet, Maven, AWS, AWS Redshift, NoSQL, PostgreSQL. Wissen InfoTech Pvt. Ltd., India May 2013 Dec 2015 DevOps/Build and Release Engineer Responsibilities: Coordinating Release effort amongst various teams (Development, QA, performance Testing and Production) in geo-graphically separated environment. Worked on Build and deploy software artifacts and code across multiple engineering environments and the production environment. Generated and maintained the Project SCM plan. Created hooks and managed permissions on the branches for GIT. Developing analytical methods, real-time data analysis and statistical methods with Python, provided on-going support and administration for SVN, GIT/GitHub, Clear Case, Clear Quest and ANT build automation. Created GIT repositories and specified branching strategies that best fitted the needs for the client. Configured local Maven repositories and multi-component ANT projects with Nexus repositories and scheduled pro-jects in Jenkins for continuous integration. Hands on experience working with Azure Platform for managing application platforms. Worked on setting up and configuring AWS Redshift. Written Selenium scripts and used them for unit testing and integration testing. Integrated SVN into Jenkins to automate the code check-out process. Collected data from business users, analyzed and validated data collected. Conducted performance testing of Apache and Tomcat management services. Designed ETL maps to load the data from different data bases to a BI data mart using Data stage tool. Architected and implemented automated cloud infrastructure using Chef Create, maintain and customize complex JIRA project configurations including workflows, custom fields, permis-sions and notifications. Expertise building and monitoring software projects continuously with a CI tool, Bamboo, Hudson, Cruise Control, Build Forge, Visual Build Professional. Architected and implemented automated cloud infrastructure using Chef. Tasks like setting up their desktops, virtual machines, GIT accounts, and development environment. Created ANT and Maven POMs to automate the build process for the new projects and integrated them with third party tools like Sonar. Supported the Information system department (Data Warehousing) with wide range of technical and functional issues. Designing and building multi-terabyte, full end-to-end Data Warehouse infrastructure from the ground up on Amazon Redshift for large scale data handling Millions of records every day. Familiar and with advanced Amazon Redshift and MPP database concepts Built deployment pipelines using Jenkins as a frontend for continuous deployment to local staging and test environ-ments and to production environments on demand, using a combination of Ruby, Ansible, AWS tools, Camel and shell scripting. Wrote ad hoc data normalization jobs for new data ingested into Redshift Experience in Performance Tuning and Query Optimization in AWS Redshift. Written automation scripts for Ansible and in-house custom AWS framework. Created some best practices Build environment using Jenkins, Packer, immutable instances, and AWS. Supported physical servers and virtualized servers. Worked with other engineers to support SANs (NetApp, Pure Stor-age) and VMWare hosts. Environment: RHEL, Java/J2EE, Maven, Azure, Tomcat, JBoss, Data Warehousing, Camel, SVN, Ansible, Selenium, Bamboo, Spring Boot, Splunk, ANT, VMware, Maven, Cucumber, Oracle Database, Shell, bash, UNIX, GIT, AWS. Keywords: cprogramm cplusplus continuous integration continuous deployment quality analyst user interface business intelligence sthree database active directory information technology golang procedural language Arkansas Georgia Massachusetts North Carolina North Dakota Texas Virginia