Devops Engineer Automation

JEEVANTEJA ODURU

DevOps Engineer

E-Mail: ************@*****.*** Phone: 216-***-**** USA

PROFESSIONAL SUMMARY

9+ years of IT experience in DevOps Implementation, Ansible SME, Cloud computing, Systems Administration, Migration, Change Management, Software Configuration Management (SCM) and Build & Release engineering and including experience in services based on continuous delivery and build with cloud services like AWS and Azure development in Windows and Linux systems.

●Experienced Ansible Automation Engineer/ Ansible SME with a proven track record in development and operations, skilled in infrastructure management, system administration, and DevOps toolchains.

●I am a critical member of the Server Automation Development & Tooling team, specializing in designing, developing, and maintaining support processes for server build configuration and deployment.

●Proficient in Hybrid Cloud automation using Ansible, Terraform, and Jenkins/Cloudbees CI/CD pipeline tools.

●Collaborative approach with Product Managers and Product Owners to ensure automation supports repeatability, compliance, and availability.

●Worked in System Administration, System Builds, Server builds, Installs, Upgrades, Patches, Migration, Troubleshooting, Security, Backup, Disaster Recovery, Performance Monitoring, Fine- tuning on RedHat Linux.

●Expertise in Cloud Infrastructure Automation which includes Amazon Web Services, OpenStack, Ansible, Puppet, Maven, Jenkins, Chef, SVN, GitHub, WebLogic, Tomcat, JBoss, and LINUX etc.

●Solid experience and understanding of designing and operationalization of large-scale data and analytics solutions on Snowflake Data Warehouse.

●Worked on version control systems like GIT and used Source code management client tools like GITBash and GitHub; GITLAB is used as a central repository.

●Experienced in using container-based Virtualized deployments using Docker, working with Docker images, Docker hub, and Docker registries.

●Expert in developing PowerShell scripts and Azure Databricks Resource Management (ARM) templates to automate the provisioning and deployment process. Proficient in creating Resource groups using the Azure Data brick resources and assigning them to various groups

●Experience in batch and streaming ETL using Spark, Python, Scala on Databricks/azure synapse for Data Engineering or Machine Learning workloads.

●Deployed microservices-based applications on Azure Kubernetes by using Azure Kubernetes Service (AKS), Ingress API Gateway, MySQL, SQL Databases, and Cosmo DB for stateless storage of external data, and set up reverse proxy Nginx servers and encrypting with SSL and TLS Skills.

●In-depth knowledge of containerization and clustering technologies like Docker and Kubernetes.

●Deployed the microservices in the Kubernetes cluster.

●Experience in Jenkins/Maven package building and hands-on experience in development using Shell and Python scripting to automate processes.

●Experienced in Installing, Configuring, and managing Ansible Centralized Server and creating playbooks to support various middleware application servers, and configuring the Ansible tower as a configuration management tool to automate repetitive tasks.

●Experience on infrastructure as code with Cloud formation by operating AWS infrastructure.

●Hands-on experience creating the ECR repositories and pushing docker images on them.

●Built Jenkins jobs to create AWS infrastructure from SCM repos containing cloud formation code.

●Hands-on experience in maintaining CI/CD pipeline by using Jenkins.

●implementing CI/CD automation for creating Jenkins pipelines programmatically architecting Jenkins Clusters.

●Hands-on experience deploying applications with Jenkins.

●Self-motivated, quick learners take independent responsibility to contribute and teamwork skills.

●Experience in Configuration management tools like Ansible.

●Experience with CI systems such as Jenkins.

●Design, build and maintain a resilient, secure, and efficient web application deployment platform utilizing open-source technologies such as Git, Git Hub, Jenkins, Jira, etc

TECHNICAL SKILLS

●AWS Services: RDS, EC2, VPC, IAM, Cloud Formation, EBS, S3, ELB, Auto Scaling, Cloud Trial, SQS, SNS, SWF, Cloud Watch.

●Azure Services: App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB.

●CI/CD: Jenkins, Azure Pipelines

●Artifactory: Jfrog and Nexus

●Web Servers: Nginx

●Documentation: Confluence

●Operating Systems: Microsoft Windows XP/ 2000, Linux, UNIX.

●Tracking Tools: Jira

●Code Scanning: SonarQube, Jfrog X ray, ECR Inspector

●Databases: RDS, Cosmos DB, My SQL DB.

●Logging: Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor

●Configuration & Automation Tools: Ansible

●Container Platforms: Docker, Kubernetes, Open Shift.

●Monitoring Tools: Nagios, Splunk.

●Languages: Python, Shell scripting.

●Cloud Platforms: Microsoft Azure, Aws Cloud.

●Version Control Tools: GIT, Bit Bucket.

WORK HISTORY

Senior DevOps Engineer May 2023 to till now

PNC, Pittsburgh, PA.

Responsibilities

●Designed and implemented scalable and highly available AWS architectures for enterprise clients, utilizing services such as Amazon EC2, Amazon S3, Amazon RDS, and Amazon Route 53 to meet business requirements and ensure optimal performance.

●Implemented AWS security measures, including AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), AWS WAF, and AWS Shield, ensuring robust security and compliance with industry standards.

●Used Chef for configuration management of hosted Instances within GCP.

●Configuring and Networking of Virtual Private Cloud (VPC).

●Led the migration of on-premises workloads to AWS, utilizing services like AWS Server Migration Service and AWS Database Migration Service, ensuring smooth and successful transitions to the cloud while minimizing downtime and data loss.

●Developed serverless applications using AWS Lambda, AWS API Gateway, and AWS DynamoDB, leveraging microservices architecture to achieve improved agility, scalability, and cost optimization.

●Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.

●Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.

●Managed and maintained highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.

●Written Templates for infrastructure as a code using Terraform to build staging and production environments.

●Worked on Terraform tool to AWS Cloud Formation in order create update and version our AWS infrastructure and deployed Docker on AWS.

●Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on AWS.

●Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.

●Managed Kubernetes charts using Helm.

●Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.

●Created Pods and managed using Kubernetes

●Created Clusters using Kubernetes and worked on creating many pods, replication controllers, replica sets, services, deployments, labels, health checks and ingress by writing Yaml files.

●Configuring the monitoring and alerting tools according to the requirement like Prometheus and Grafana, setting up alerts and deploying multiple dashboards for individual applications in Kubernetes

●Worked on Kubernetes deployments, secrets, services, and deployed application containers

●Used Minikube to manage local deployments in kubernetes, create local clusters and deploy application containers.

●Worked with Terraform to create AWS components like EC2, IAM, VPC, ELB, Security groups.

●Managed different infrastructure resources, like physical machines, VMs and even Docker containers using Terraform It supports different Cloud service providers like AWS.

●Designed and implemented highly scalable and fault-tolerant AWS architectures for large-scale enterprise applications, leveraging services such as Amazon EC2, Amazon S3, Amazon RDS, and Amazon DynamoDB, resulting in improved performance and availability.

●Developed serverless applications using AWS Lambda, AWS API Gateway, and AWS DynamoDB, utilizing microservices architecture to achieve high agility, scalability, and cost optimization.

●Implemented and optimized AWS infrastructure-as-code solutions using AWS CloudFormation, enabling automated provisioning and configuration management of AWS resources, reducing deployment time and ensuring consistency across environments.

●Integrated complex on-premises environments with AWS using AWS Direct Connect, AWS VPN, and AWS Storage Gateway, establishing secure and seamless connectivity between on-premises infrastructure and AWS cloud services.

●Designed and implemented highly available and scalable data solutions on AWS, utilizing services such as Amazon Redshift, Amazon EMR, Amazon Athena, and AWS Glue for efficient data processing, analysis, and visualization.

●Implemented AWS security measures, including IAM policies, security groups, encryption at rest and in transit, and AWS WAF, ensuring robust security and compliance with industry standards and regulatory requirements.

●Conducted performance optimization and troubleshooting for AWS-based applications, utilizing tools like Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail to monitor and analyze system performance, identify bottlenecks, and implement performance improvements.

●Led migration projects, including lift-and-shift and re-architecting strategies, to move on-premises workloads and applications to AWS, ensuring successful migration, minimal downtime, and maximum utilization of AWS services.

●Environment: AWS Cloud, EC2/EMR, CloudTrail, AWS Glue, Dynamic DB, Kibana, Terraform, PostgreSQL, Optic cloud, Exchange, Nebula, Nimbus, Avenue, Postman, Docker, Kubernetes, Jenkins CICD Pipelines, Terraform, Snowflake, Python, GIT, Bash, Linux.

DevOps Engineer Nov 2021 to Apr 2023

Sherwin Inc, South Gate, CA. Responsibilities

●Provide oversight, standardization and validation of system and application architecture.

●Designing, implementing, and support of containerized applications, running on highly available, cloud and physical based node.

●Configured and maintained an AWS Virtual Private Cloud (VPC), Public and Private Subnets, NACL's, Route Tables, Elastic Load Balancer, Security Groups and EC2 instances.

●Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.

●Automated setting up server infrastructure for the DevOps services, using Ansible, shell and python scripts.

●Written Ansible Playbooks with YAML, Azure, SSH as the Wrapper to manage configurations of Nodes & test Playbooks on instances using Python and run Ansible scripts to provision development servers.

●Using Jenkins AWS Code Deploy plugin to deploy to AWS.

●Designing, creating, and maintaining comprehensive documentation of best practices for all implemented system configurations.

●Working in an environment to evaluate new tools like Kubernetes for cluster management advancement in Docker swarm utilization.

●Defined Security Groups depending on access parameters provided and created IAM user ac- counts and role-based policies for access to AWS services.

●Worked with Docker and helped improve our Continuous Delivery framework to streamline releases and reliability.

●Supporting the CI/CD multi branch configuration pipeline (Jenkins File) for the frontend and backend micro services deployments.

●Experienced in Using Provisioning Tool Terraform to build AWS infrastructure.

●Worked with Kubernetes to manage the containerized applications, creating configmaps, deployments, secrets, and services and deploying application containers as pods.

●Collaborating in daily stand-ups, ensuring that best practices and consistent methodologies are considered while solving high priority enterprise level IT issues.

●Recommend and implement changes to existing hardware and operating system infrastructure including patches, users, file systems and kernel parameters

●Deployment management skills for deployment and environment management architecture and process creation.

●Use DevOps tool Puppet in provisioning AWS machines.

●Acting as an escalation point to troubleshoot application and operating system problems and suggest possible performance tuning

●Developed Java dynamic project using RESTful web services and used postman to deploy the application and used MySQL and Azure for the database.

●Working with database and application teams to gather requirements for new projects and expansion to existing applications.

●Providing mentoring, training, guidance and escalation assistance for junior level staff

●Support the company's commitment to protect the integrity and confidentiality of systems and data.

●Supporting always-available cloud-based applications and corporate web presence

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, Git version Control, Cloud watch, Groovy, Ansible, CloudFormation, Docker, Jira, Bit Bucket, Jenkins, AWS CLI, AWS Auto Scaling, JAVA PowerShell scripting, Windows.

DevOps Engineer. May 2019 to Oct 2021

Meijer, Grand Rapids, MI.

Responsibilities

●Experience in Software Deployment & software configuration management which includes Build & Release process setup, Build Automation, Cloud Deployments, Continuous Integration, SCM process improvements.

●Responsible for managing DevOps admin activities such as Adding and removing users and assigning respective permissions.

●Experience in creating pipelines in Azure DevOps for build and artifact management.

●Setting up integration between Azure DevOps and Octopus Deploy for deploying build artifacts.

●Creating Ansible playbooks for applying patch updates for multiple servers.

●Configure and maintain Reporting Services SQL Server2016.

●Worked on end-to-end migration of TFS 2017 to Azure DevOps 2020Server.

●Experience in setting up Application Tier and setting up Analysis server for Azure DevOps.

●Troubleshoot Window server issues and resolve issues on a day-to-day basis.

●Experience in writing terra form scripts to create, manage and delete resources in Azure such as Azure VM’s, Azure web

apps and creation of AKS, Azure Network Security Groups.

●Monitoring of AWS resources in Opsview and resolve the issues whenever an alert Is triggered.

●Writing Docker file for .Net applications, build and push Docker images to Azure container registry.

●Installation and configuring Open Distro for ELK stack and use it for the microservices log analysis.

●Setting up Jenkins jobs for the deployment of war files to the Linux servers.

●Experience of setting up Master-Slave nodes in Jenkins to distribute jobs equally to balance the load.

●Experience in integrating Jenkins with Docker registry using SSH keys which allows for password less authentication to push and deploy images to servers.

●Responsible for configuring Portioner and listing all the servers which have spring boot application running as containers.

●Have installed TLS certificate for the Docker Daemon to safely expose through API to configure in Portioner.

●Developed Shell scripts to build Docker images and use them in Pipeline scripts to deploy Linux servers.

●Setup and manage Docker swarm through Portioner which provides greater UI experience to know the status of the containers.

●Writing Python scripts for automation of monitoring resources such as CPU utilization and memory management.

●I have set up CI/CD pipelines for Angular Applications in Azure DevOps and deployed in Servers.

●Experience in setting up automated releases in Octopus Deploy for deploying applications to AWS and Azure Services.

●Administrating Windows Servers and applying the patches using automated PowerShell scripts.

●Creating Roles in Octopus Deploy to manage the different stages of the deployments.

Environment: Centos Linux, Docker, Jenkins, Shell Scripting, AWS EC2, AWS, VPC, Security Groups,

ServiceNow, PowerShell, Shell Scripting, Git, Docker, Azure Web Apps, Azure Kubernetes Service, Azure Container Registry, Terraform, Ansible, SonarQube, Grafana, Datadog, Git, GitHub.

Linux Administrator

Value Labs, India July 2016 to Nov 2017

Responsibilities:

●Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS Cloud watch.

●Worked on cloud environment AWS, created EC2 instances and migrated various applications to AWS.

●Written Cloud formation templates and deployed AWS resources using the same.

●Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed one or more AWS EC2 instances. Used Elastic cache to set up, manage and scale a distributed cache-in environment in the cloud.

●Expert level experience with AWS DevOps tools, technologies and APIs associated with IAM, Cloud Formation, Cloud Watch, AIMs, SNS, EC2, EBS, S3, RDS, VPC, ELB, IAM, Route 53.

●Managed local deployments in Kubernetes, creating local clusters and deploying application containers.

●Supported small to medium sized projects using GitHub and administrate GitHub user setups. Worked on integrating GitHub into the continuous Integration (CI) environment along with Jenkins

●Worked extensively with API Management product of Apigee edge in consuming the Api’s in implementing customer

use cases. Performed Service Level Testing for Web services using Soap UI, Postman and Apigee.

●Used Puppet to automate Configuration management and to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points and Packages.

●Created Jira workflows to automate deployment and issue tracking.

●Set up build notifications, created the users and assigned the permissions on bamboo.

●Deploy all build artifacts in tomcat server and resolve the issues for any failed jobs.

●Strong in building Object Oriented applications using Java, python, writing Shell Scripts on UNIX.

●Managing Users and Groups in Subversion (SVN) and troubleshooting client specific issues and user issues.

●Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python.

Environment: Ansible, Bash, JIRA, WebLogic, Nexus, Artifactory, AWS, Cloud, IAM, Open stack, Jenkins, Python, My SQL, Dynamo DB, NoSQL, API, TCP/IP, Nagios.

Build and Release Engineer

KTree Computer Solutions, India. Sept 2013 to June 2016

Responsibilities:

●Experience in Install, Configure and Administer GIT.

●Used MAVEN to automate the build process.

●Configured and automated the Jenkins Build jobs for Continuous Integration.

●Participated in the release cycle of the product which involved environments like Development, INT, QA, UAT and Production.

●Responsible for Branching and merging the code as per the schedule.

●Perform biweekly build cycle and testing processes.

●Developed utilities for developers to check the checkouts, elements modified based on project and branch.

●Created Subversion configuration record for builds using derived objects generated during build audit process.

●Configured clusters to provide fail over, load balancing and deployed applications on clusters.

●Developed UNIX and Perl Scripts for manual deployment of the code to the different environments and e-mail the team when the building is completed.

●Managed and performed the environment related configuration changes as a part of deployment.

●Coordinated Release effort amongst various teams (Integration, QA, Testing, and Business Analysis) in geographically separated environment.

●Used Apache Tomcat as an application server for deploying the artifacts.

●Used JIRA as Issue Tracking Tool.

Environment: Java, Ant, MAVEN, Hudson/Jenkins, Unix, Apache Tomcat, Perl/Shell.

CERTIFICATIONS

●Certified AWS associate developer.

●Certified Kubernetes Administrator.

●Certified Azure Administrator.

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