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GeethaPhone No: PHONE NUMBER AVAILABLEE-mail Id: EMAIL AVAILABLEDevOps EngineerProfile Summary:Having 10+ years of experience as a DevOps Engineer/AWS, using various automation tools to oversee the end-to-end deployment process.Implemented a Continuous Delivery pipeline with Docker, Jenkins, GitHub, Maven, and AWS.Experience in writing Infrastructure as a code (IaC) in Terraform, AWS Cloud formation. Created reusable Terraform modules in both AWS cloud environments.Strong Experience in automated build platforms/continuous integration using DevOps architecture.Using Ansible performed configuration management and remote execution.Skilled with Cloud to design Infrastructure as a Service (Iaas) and Platform as a Service capabilities (PaaS)Deploying application on AWS keeping HA and Security in mind.Managed IAM roles, users, groups, and policies and implemented MFA to provide additional security.Good knowledge of different protocols like FTP, SSH, HTTP, and HTTPS.Accomplished ETRM (Energy Trading and Risk Management) professional with expertise in front-office, risk management, and back-office functionalities.Skilled in integrating TypeScript with popular DevOps tools and platforms, such as Jenkins, GitLab CI, and Azure DevOps, to streamline CI/CD processes.Extensive experience in using TypeScript for scripting and automation tasks within DevOps pipelines.Proven track record in Gas and Power Operations, demonstrating a comprehensive understanding of market dynamics and operational intricacies.Skilled in writing code to automate the deployment and management of machine learning models, ensuring seamless integration and operational efficiency.Extensive experience in implementing and utilizing ENDUR across various modules such as Trading Manager and Market Manager, contributing to streamlined operations and optimized performance.Proficient in managing EOD (End of Day) batch processes, generating risk reports, and overseeing the entire trade lifecycle, ensuring accuracy and compliance.Experienced in relating events and incidents to enhance predictive maintenance and anomaly detection systems.Proficient in deploying machine learning models in production environments, ensuring scalability and reliability.Skilled in PowerShell, Python, and database management (Oracle, MS SQL, MongoDB), leveraging automation and data analysis to enhance operational efficiency.Designed, developed, and deployed applications onto several cloud-based solutions using configuration Management tools like Ansible.Highly skilled Site Reliability Engineer with extensive experience in Application Support and Systems Engineering, specializing in AI-Ops.Experience in managing Kubernetes services such as Google Kubernetes Engine (GKE) and AWS Elastic container service.Extensive experience with JavaScript frameworks (React, Angular, Vue.js) and TypeScript, enabling seamless integration and automation within DevOps pipelines.Hands-on writing of Docker files for building images.Experienced in developing, designing, and building enterprise-level SRE/AIOps/logging initiatives.Good knowledge on experience with AWS Redshift. Experience working on administering various AWS Services using Amazon AWS Console, CLI in Linux and Windows environments, and using Amazon API using Java and Python.Worked on monitoring tools like Nagios, ELK, and New Relic Monitoring tool.Extensive experience using Maven as a build tool for building deployable artifacts (jar, war, and ear) from source code.Hands-on experience in supporting Kubernetes clusters, including setup, management, and troubleshooting.Using Jenkins to Manage and Build code with Authorization.Implemented Puppet hierarchy to separate data from Puppet code.Creating and maintaining Infrastructure for Applications in AWS using Terraform, building and automating CICD pipelines for different applications.Good knowledge on experience with AWS Redshift. Experience working on administering various AWS Services using Amazon AWS Console, CLI in Linux and Windows environments, and using Amazon API using Java and Python.Seasoned DevOps Engineer with over 10 years of experience in overseeing end-to-end deployment processes and implementing CI/CD pipelines for .NET Core applications.Proficient in Azure DevOps engineering, specializing in .NET technologies and deployment pipelines to ensure fast and reliable delivery of features and updates.Skilled in infrastructure as code (IaC) using Terraform and ARM templates, focusing on automating provisioning and management of cloud resources.Familiar with data cleanup and parsing techniques using regular expressions (REGEX), ensuring data accuracy and consistency.Experienced in implementing vendor-neutral solutions for event collection and enrichment, enhancing system reliability and performance in AI-Ops environments.Strong expertise in containerization technologies like Docker and container orchestration platforms like Kubernetes, tailored for .NET Core environments.Experience in deploying and monitoring applications on various platforms using Elastic Bean Stalk.Experience with Amazon AWS Cloud Services like Ec2, VPC, S3, ALB, Autoscaling, Cloud Watch, SNS, etc.Worked on deployment automation of all the microservices to pull images from the private Docker registry and deploy to the Docker swarm cluster using Ansible.Extensively worked on Jenkins by installing, configuring, and maintaining for the purpose of continuous integration (CI) and End-to-End automation for all builds and deployments.Creating IAM Users, Groups, Maintaining the users Access management and Permissions.Strong Experience in Amazon EC2 setting up instances, VPCs, and security groups.Configuring topics for email and SMS in AWS Simple Notification Services (SNS).Technical SkillsCloud Technologies:AWS, AZUREMonitoring Tools:App Dynamics, Kibana.Provisioning Tools:Terraform, Cloud FormationWeb/Application Servers:JBoss, Web Logic, Tomcat, Apache HTTP Server.Scripting&Programming LanguagesBash Shell, Ruby, C, C++, XML, SQL, Java/J2EE, Javascript, HTML, Perl, PowerShell, React, Angular, Vue.js, Node.js, Express.js, Python, .NET, JSON, Yaml, Groovy, Golang, Node.js, TypeScriptDatabase:Oracle, SQL Server, MySQL and MS Access (using VBA).Configuration Management:Splunk, Docker, AnsibleContainerizationKubernetesTest and Build Systems:Jenkins, Maven, TeamcityProject Management Tools:MS Office, MS ProjectDesign Tools:UML (Use cases, Class Diagrams, Sequence Diagrams)Energy Trading & Risk MgmtEndurSource Control Tool:GIT, Subversion (SVN)Operating Systems:Linux Distributions, Windows All variantsAI-driven analytics platformsSplunk, ELK StackMachine learning frameworksTensorFlow, PyTorchInfrastructure as Code (IaC)Terraform, ARM TemplatesProfessional ExperienceClient: Morgan Stanley, Alpharetta, GA March 2022 - PresentDevOps EngineerTools & Environment: AWS, Python, Azure, ANT, Maven, Chef, Typescript, Jenkins, Ansible, OpenShift, Subversion, Kubernetes HTML, MySQL, Oracle DB, Ngnix, Puppet, AWS CodePipeline, AWS CodeCommit, Angular, TypeScript, AWS Lambda, CloudFormation, Tomcat, Splunk, GIT, Azure DevOps, .NET Framework, Kubernetes, Splunk, ELK Stack, PowerShell, Visual Studio, SVN. Public Cloud Services, OpenShift, PowerShell, HyperV, AWS AI services.Creating a fully automated build and deployment Platform and coordinating code build promotions and orchestrated deployments using Jenkins and GitHub.Managed multiple AWS accounts with multiple VPCs for both production and non-prod, where primary objectives included automation, buildout, integration, and cost control.Used Struts tag libraries (HTML, logic, and Bean) to develop JSPs.Designing and implementing fully automated server build, management, monitoring, and deployment solutions spanning multiple platforms, tools, and technologies, including Jenkins, Docker, Ansible, Amazon EC2, and packaging, deployment, and testing.Gathering the requirements from the clients about the existing applications to apply the security measures.Worked on setting up staging and production environment for CI workflow using Jenkins and its plugins.Worked heavily with AWS and its infrastructure, including EC2, AMI, ECS, Elasticsearch, ElasticSearch, RDS, VPC implementation, IAM, KMS, WAF, CloudTrail, CloudWatch, S3, CloudFront, AWS CLI scripting, ELB, Route 53, Lambda, DynamoDB, Elastic Beanstalk, SQS, SNS and Security group management.DevOps Workflow representing all stages starting from SCM Commit Build, Integration Build, Which Compiles Code, Junit Test cases and Code Coverage, Build and Bundle, Publish with Lead Approvals, and Deployment of Artifacts.Developed TypeScript scripts to automate the build, test, and deployment processes within Azure DevOps.Created custom TypeScript modules to handle configuration management and deployment orchestration for Kubernetes clusters.Expertise in using monitoring tools like Prometheus and Grafana to track system performance and preemptively address potential issues.Create and configure Jenkins server using Terraform and Ansible.Expertise in converting Bash scripts to Ansible playbooks, ensuring seamless automation and process optimization.Developed TypeScript scripts to automate infrastructure provisioning using AWS CloudFormation, enhancing infrastructure consistency and reducing setup time.Integrated Angular applications with AWS CodeBuild for automated build and testing, improving deployment accuracy and efficiency.Used AWS Lambda functions to automate post-deployment tasks, such as cache invalidation and notification, enhancing operational efficiency.Proficient in implementing best practices for drift control and RSA, as well as compliance reporting and remediation for various technologies, including F5, Palo Alto, and Cisco IOS.Strong familiarity with Ansible Automation Controller and YAML for efficient configuration management.Use of Docker, Kubernetes, and Open Shift to manage microservices for the development of continuous integration and continuous delivery.Implemented CI/CD pipelines tailored to .NET Core applications using Azure DevOps.Containerized .NET Core applications using Docker and orchestrated deployments with Kubernetes for scalability and resilience.Automated infrastructure provisioning and management for .NET Core applications using Terraform.Monitored and optimized .NET Core application performance in AWS environments using CloudWatch.Ensured adherence to security best practices in .NET Core applications and AWS infrastructure.Launching AmazonEC2 Cloud Instances using Amazon Web Services (Linux/ Ubuntu/RHEL) and Configuring launched instances with respect to specific applications.Installed application on AWS EC2 instances and configured the storage on S3 buckets.Managed IAM policies, providing access to different AWS resources, design and refine the workflows used to grant access.Created a Docker file for each microservice and changed some of the Tomcat configuration files, which is required to deploy Java-based applications to the Docker container.Build and deployed the code artifacts into the respective environments in the Confidential AWS cloud.Implementing and operating the AWS cloud platforms.Provided framework for automated deployment in Tomcat environment.Architecting a performance test strategy for applications on AWSWorked on the creation of Puppet manifest files to install Tomcat instances and manage configuration files for multiple applications.I worked on setting up MongoDB client and writing queries to validate data against Mongo Collections and MySQL.Streamline the deployment process for ML models predicting customer behavior.Design high-availability applications on AWS across availability zones and availability regions.Installed, configured, administered, and integrated Apache Web Server with the WebLogic Application Server for load balancing.Developed and implemented AI-Ops solutions within the DevOps workflow, leveraging tools such as Jenkins, Docker, Ansible, and Amazon EC2, to enhance automation, monitoring, and deployment processes.Utilized AI-driven techniques for predictive analytics and anomaly detection within the AWS environment, including EC2, ElasticCache, RDS, and CloudWatch, to proactively identify and address potential issues.Integrated AI-driven insights into CI/CD pipelines to optimize application performance and resource allocation, aligning with the client's AI-Ops initiatives and objectives.Reduced deployment time by 40% and increased prediction accuracy by 15%.Worked with automating builds and deployment processes using Shell scripting.Migrated JIRA across environments and worked on JIRA database dumps.Working with Continuous Integration (CI) and Continuous Delivery/Deployment (CD) Environments.Created S3 buckets and managed policies for S3 buckets and Utilized S3 buckets for storage and backup on AWS. Extensive knowledge in migrating applications from internal data center to AWS.Templated AWS infrastructure as a code using Terraform to build staging and production environments.Unique experience with Pivotal Cloud Foundry (PCF) architecture and design, troubleshooting issues with platform components, and developing global/multi-regional deployment models and patterns for large-scale developments/deployments on Cloud Foundry and AWS.Installed, configured, and managed MongoDB servers and performance tuning of Mongo Databases.Worked in Apache Tomcat, WebLogic, WebSphere, and JBoss application servers in Linux/Unix/Windows environment.Integrated with Team City and Octopus for continuous integration and continuous delivery. The development is incremental. Once the changes are checked in to TFS, the daily build runs, executes the unit test cases, and deploys the changes to the CI environment.Enhanced existing automated Build/Deploy process and architect the next-generation centralized deployment processes using Octopus.Automated and tested the Build and deployment of the CRM product on Smoke, DEV Environment using power shell and Octopus tool.Implement the cloud-based supporting platform for Open Stack Infrastructure, which all services and applications will rely upon.Worked on building and deploying Java code through Jenkins.Created Cloud Formation templates using AWS's Server less Application Model and swagger to create and deploy RESTful API's using API Gateway and Lambda.Collaborate with team to support the development process by employing tools and methodologies such as Jenkins, Git, Bamboo, AWS CodeDeploy, unit testing and CI.Client: United Health Group, Raleigh, NC April 2020 - February 2022DevOps EngineerTools & Environment: AWS EC2, S3, Cloud Formation, Dynamo DB, Kinesis, .NET Core, Typescript, Kubernetes, Terraform, Azure Monitor, Azure Security Center, Prometheus, AWS AI services, Kubernetes, AWS CodePipeline, AWS CodeDeploy, Vue.js, Azure Machine Learning, Visual Studio, VPC, IAM, Splunk, Tomcat Apache, TensorFlow, PyTorch, Micro-Services, Cloud Watch, New Relic, Git, Linux, ELK Stack, Jenkins, Maven, Ansible, JVMManaging the monitoring and alerting of Production servers using CloudWatch, Sensu and Grafana.Deploying a Maven-based Java Application with scripted Pipelines in Jenkins and also set up a JNLP servers.Building solutions from AWS components using Cloud Formation or tools such as Ansible, Chef, or PuppetProviding and implementing suggestions on Cost Optimization on Client Infra.Considerable knowledge of consistent workflows to provision, secure, connect, and run infrastructure - HashiCorp stack (Terraform, Packer).Utilized TypeScript to write custom scripts for provisioning AWS resources via CloudFormation templates.Integrated TypeScript with the AWS SDK to manage and interact with AWS services programmatically.Developed monitoring scripts in TypeScript to collect and analyze metrics from CloudWatch, providing real-time insights into infrastructure performance.Collaborated with cross-functional teams to design and implement AI-driven monitoring and alerting systems using Splunk, ensuring proactive response to system events and performance issues.Leveraged AI-based solutions for data analysis and optimization of infrastructure resources, enhancing scalability and efficiency in AWS environments.Stayed abreast of emerging AI technologies and best practices in AI-Ops, contributing to continuous improvement initiatives and driving innovation within the DevOps team.Manage IAM roles, users, groups, policies and implement MFA to provide additional security.Performed tasks required to support local and remote sites, with the complex batch.Architecture design, end-to-end implementation and support of AWS-based infrastructure and its solutions.Worked on CloudFront, Route53, S3, VPC, EC2 instances to create a static and private ecosystem.Mentor other systems administrators in DevOps and AWS best practices.Maintain and leverage Configuration/Systems Management tools such as Chef, Ansible, Salt, Puppet, AWS Management Tools.Refined the AWS CodePipeline setup to include rigorous testing and security checks, ensuring compliance with financial regulations.Decreased downtime by 25% and saved $200,000 annually in maintenance costs.Automated deployment processes using AWS CodeDeploy, minimizing downtime and improving release cycles.Developed Vue.js components and integrated them into the pipeline, ensuring consistent and reliable deployments.Utilized TypeScript to create custom Jenkins plugins for enhanced build automation and reporting.Automated Kong API deployment using Terraform.Worked on implementing AWS using EC2, S3, RDS, ECS, Elastic Load Balancer, Auto Scaling groups.Deployed and managed web applications and services into AWS by using Elastic Bean Stalk.Managed servers on the Amazon Web Services (AWS) platform instances using Puppet, Chef Configuration management.Implemented CI/CD processes for .NET Core applications using Azure DevOps.Automated infrastructure deployment and management using AWS services like CloudFormation and EC2.Deployed and managed .NET Core applications on AWS using services like Elastic Beanstalk.Automated AWS infrastructure using configuration management tools like Puppet and Chef.Participated in incident management and troubleshooting of .NET Core applications, ensuring service reliability across AWS environments.Designed AWS Cloud Formation templates to create custom-sized VPC, subnets, and NAT to ensure successful deployment of Web applications and database templates.Created Maven POMs to automate the build process for the new projects and integrated them with third-party tools like SonarQube and Nexus.Involved in creating virtual machines and infrastructure in the AWS Cloud environment.Created Chef Automation tools and built and improved overall processes for any manual processes.Create, manage, and delete users and groups using Amazon Identity and Access Management as requested.Monitor each service deployment and validate the services across all environments.Active participant in scrum meetings, reporting progress and maintaining effective communication with each team member and manager.Successfully implemented ENDUR solutions for clients, customizing modules like Trading Manager and Market Manager to align with specific business requirements.Led developing and implementing EOD batch processes and risk reporting mechanisms, enhancing operational visibility and control.Streamlined trade lifecycle management for clients, implementing efficient workflows and automation solutions to minimize manual intervention and reduce operational risks.Contributed to designing and implementing CI/CD deployment pipelines using Azure DevOps, TeamCity, Git, and Jenkins, ensuring seamless delivery of software updates and enhancements.Provided ongoing support and optimization for client ETRM systems, troubleshooting issues, implementing enhancements, and ensuring regulatory compliance.CI/CD deployment using the integration tool Jenkins. Worked on Amazon Web Services.Auto deployment of Java application using Maven.Incident management, application log analysis, troubleshooting of application and server-level issues on production and test.Respond to customer inquiries to determine appropriate resolution path or service improvement strategies.Establish unified CI/CD processes for different technology stacks.Creating and Managing Virtual Machines using Xen, KVM, or RHEV to run specific services.Troubleshooting IIS issues in all environments. I worked on the Kubernetes Cluster using VMware and AWS.Installing, configuring, and managing VPC, Subnet, and AWS Instances.Client: Nomura, NY January 2018 - March 2020Build/Release EngineerTools & Environment: AWS, Python, Django, SVN, Jenkins, Web logic, Rally, Shell, Chef, Ruby, Ant, Maven, Linux, Web Framework, GITImplement, maintain, and support reliable, timely, and reproducible builds for project teams.Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Subversion (SVN) source control.Estimating AWS usage costs and identifying operational cost control mechanismsInteract with developers and Enterprise Configuration Management Team for changes to best practices and tools to eliminate non-efficient practices and bottlenecks.Created and maintained user account roles on Rally, MySQL, production, and staging servers.Defined and Implemented CM and Release Management Processes, Policies, and Procedures.Wrote Chef Recipes to manage configurations and automate the installation process.Created AWS Route53 to route traffic between different regions.Responsible for maintaining 4-5 different testing/QA environments and erection of the prod environment in AWS, monitoring live traffic, logs, memory utilization, disk utilization, and various other important factors for deployment.Written Chef Cookbooks for various DB configurations to modularize and optimize end-product configuration.Converting production support scripts to Chef recipes. And AWS server provisioning using Chef Recipes.Involved in writing Java API for Amazon Lambda to manage some of the AWS services.Experience with Build Management Tools Ant and Maven for writing build.xml and Pom.xml.Branching, Tagging, and Release Activities on Version Control Tools: SVN, GitHub.Worked on developing the backend part of the application involving Spring 3, JPA, and HibernateProvided CM and Build support for more than four different applications, built and deployed to lower and higher environments.Analyze and resolve conflicts related to merging of source code for SVN/GIT.Developed and integrated the deployment process in a CI environment using Jenkins.Architect, implement and then maintain a completely scripted SaaS infrastructure with continuous integration for a Linux environment running in AWS.Created deployment workflows in Jenkins, which includes prerelease, release, and post-release steps.Migrated JIRA across environments and worked on JIRA database dumps.Configured and maintained Hudson to implement the CI process and integrated the tool with Ant and Maven to schedule the builds. Took the sole responsibility for maintaining the CI Jenkins server.Work with development/testing, deployment, systems/infrastructure, and project teams to ensure continuous operation of build and test systems.Utilize Puppet for configuration management of hosted instances within AWS. Configuring and networking of virtual private cloud (VPC).Automated the release pipeline to achieve zero-touch deployments using Jenkins and GIT.Developed website both frontend and backend modules using Python Django Web Framework.Client: Zenq Tech, Hyderabad, India September 2015 to October 2017DevOps EngineerTools & Environment: AWS, Python, Jenkins, Maven, Linux, EC2, Cloud Watch, Scrum, Jira, Java, My SQL, Shell ScriptsParticipated in execution of client meetings and internal Maven development projects and codes for testing services daily.Involved in design, implementation and modifying the Python code.Implemented and maintained monitoring and alerting of production and corporate servers/costs using Cloud Watch.Managed Linux and Windows virtual servers on AWS EC2.Focused on containerization and immutable infrastructure, Docker has been a core to this experience.Designed GIT branching strategies, merging per the needs of release frequency by implementing GIT flow workflow on Bit bucket.Proficient in developing Web Services (SOAP, RESTful) in python using XML, JSON.Defined and Implemented CM and Release Management Processes, Policies and Procedures.Installed and Configured Jenkins Plugins to support the project specific task.Kept track of all the releases and requests of the developers through Infrastructure management tool.Designed and implemented Subversion metadata including elements, labels, attributes, triggers, and hyperlinks.Controlled Subversion (branch) access to successfully run parallel development and release.Configured Jenkins as a common build engine to build and deploy applications to DEV, QA, and UAT and PROD environments.Implemented, maintained, and supported reliable, timely and reproducible builds for project teams.Integration of AWS cloud services (or other Cloud based technologies) with on premise technologies.Kept track of all the releases and requests of the developers through the infrastructure management tool.Developed Shell scripts to automate the deployment process.Created and optimized Linux shell scripts.Developed Python and shell scripts for automation of the build and release process.Maintained build related scripts developed in ANT, Python and Shell. Modified build configuration files including Ant's build.xml.Worked with development team to migrate Ant scripts to Maven.Experienced in authoring pom.xml files, performing releases with the Maven release plugins, Maven of Java projects and managing Maven repositories.Created users and groups in IAM and Security Group in Public and Private Subnets using VPC.Designing and deploying scalable, highly available, and fault tolerant systems on AWSConfigured JIRA workflows according to the needs of the CM team and integrated the project management features of JIRA with the build and release process.Designed the project workflows/pipelines using Jenkins as CI tool.Used SQL queries to validate data and updated the records for the various modules.Involved in various phases of application development. Iteratively analyzed and developed the system going through Agile and Scrum methodology.Used ANT and MAVEN as build tools on Java projects to develop build artifacts on the source code.Created monitors, alarms, and notifications for EC2 hosts using Cloudwatch.Client: HSBC Glt, Hyderabad India June 2013 - August 2015Build Release EngineerTools & Environment: Ant, SOAP, RESTful, Maven, Jenkins, Linux, Solaris, Python, Shell Scripting, WebSphere, Oracle, NexusProvided CM and build support for more than 3 different applications that were built and deployed to the production and lower environment.Proficient in developing Web Services (SOAP, RESTful) in Python using XML and JSON.Defined and Implemented CM and Release Management Processes, Policies and Procedures.Installed and Configured Jenkins Plugins to support the project-specific task.Kept track of all the developers' releases and requests through the infrastructure management tool.Designed and implemented Subversion metadata, including elements, labels, attributes, triggers, and hyperlinks.Controlled Subversion (branch) access to successfully run parallel development and release.Configured Jenkins as a common build engine to build and deploy applications to DEV, QA, UAT, and PROD environments.Implemented, maintained, and supported reliable, timely, and reproducible builds for project teams.Maintained build-related scripts developed in ANT, Python, and Shell. Modified build configuration files, including Ant's build.xml.EducationCompleted B.Tech (Bio-informatics) in BHARATH ENGINEERING COLLEGE, Chennai, from 2007 - 2011 with 75%.Completed Intermediate from the Board of Intermediate Education in GAYATRI JUNIOR COLLEGE from 2004  2006 with 79%.Completed SSC from Secondary School Education in ADITYA PUBLIC SCHOOL from 2003 - 2004 with 85%.