Devops Engineer Quality Assurance

Venkata Sai Ram Myneedi

Devops Engineer

Email: ******.*.****@*****.*** Contact: 945-***-****

SUMMARY:

Around 5 years of experience in IT industry comprising of delivery management, design, development, release & deployment, and cloud implementation.

Experienced in Configuring and Deploying infrastructure and applications into cloud using AWS resources such as EC2 instances, S3, RDS, EBS, VPC, SNS, IAM policies, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, Security Groups focusing on fault tolerance and high availability.

Experience of the full Software Development Life Cycle (SDLC) and Methodologies & Validations to ensure the Quality Assurance Control.

Experience in IT industry as DevOps/ Agile Operations, Software Integration, Configuration, Release Engineer, Change/Incident Management, AWS Open-source technologies and Cloud Management.

Automating environment build and provisioning using virtualization, containerization and orchestration tools with Docker, VMWare, AWS, Vagrant, and Kubernetes.

Experience in provisioning Kubernetes cluster and deploying and maintaining and Scaling workloads.

Experience on DevOps tools such as Vagrant, Virtual Box, Ansible, Jenkins, Maven, ANT, and Docker.

Experience on version control systems like Subversion, GIT, and used Source code management client tools like GitHub, GitLab, Git GUI, Bit Bucket and other command line applications.

Experience in Infrastructure Development and Operations involving AWS Cloud platforms, EC2, EBS, S3, VPC, RDS, SES, ELB, Auto scaling, Cloud Front, Cloud Formation, Elastic Cache, Cloud Watch, SNS.

Strong Experience on AWS platform and its dimensions of scalability including VPC, EC2, ELB, S3, and EBS, ROUTE 53.

Implemented continuous integration with Jenkins, TeamCity, Hudson and End-to- End automation for all Build and deployments.

Proficient in cloud provisioning tools like Terraform and cloud formation.

Strongly hands on experience in scripting such as - Groovy, UNIX Bash, Shell Scripting and Perl.

Extensive experience using MAVEN, ANT, and Gradle as build tools for the building of deployable artifacts from source code. And good exposer in Android platform and build tools.

Experience in Nexus and Artifactory Repository for Maven and ANT builds.

Develop guides and documentation for JIRA features and best practices.

Experience in JIRA & Confluence administration involving creation and management of custom, complex projects, workflows, security schemes, custom fields, dashboards and reports configurations.

Automated the process of launching and stopping/terminating EC2 instances on Amazon AWS with BOTO.

Experience and knowledge of Cloud Management Platform (IaaS, PaaS, SaaS).

Worked on AWS Cloud Formation templates to using Terraform with existing plugins. To ensure successful deployment of Web applications and database templates.

Extensively used Docker/Kubernetes for containerization, virtualization, Ship, Run and Deploy the application securely to fasten Build/Release Engineering. Involved in Provisioning AWS Infrastructure using Terraform scripts from Jenkins.

Created and wrote shell scripts (Bash) and PowerShell for automating tasks.

Implemented Python-based solutions for resource scaling, auto-healing, and cost optimization, enhancing the agility and efficiency of cloud operations.

Integrated Python scripts with containerization platforms like Docker and Kubernetes for building, deploying, and managing containerized applications.

Experience in Deploying Apache Tomcat web server, JBoss, Oracle web logic, and IBM Web sphere.

Strong knowledge on source controller concepts like Branches, Merges and Tags.

Expertise in writing new plugins for Jenkins to support new functionality in Terraform.

Experience on Deployment Automation & Containerization (Docker, Kubernetes).

Used Nagios, Grafana and CloudWatch for monitoring/metric collection for applications in a Cloud based environment.

Documented Daily meetings, Build reports, Release Notes and many other day-today documentation and Status Reports.

Familiar with GCP offerings and capabilities, including virtual machines, cloud storage, networking, and Kubernetes orchestration. Interested in further exploring GCP solutions and incorporating them into cloud infrastructure and automation workflows.

Familiar with Azure cloud offerings and concepts such as virtual networks, virtual machines, Azure Blob Storage, and Azure DevOps. Keen to gain hands-on experience with Azure technologies and contribute to Azure-related initiatives.

TECHNICAL SKILLS:

Version Control Tools

GIT (GitHub, Atlassian bit bucket, GitLab), AWS code commit

Configuration management

Ansible, Terraform, Chef, Puppet

System Monitoring Tools

Elastic Search, Kibana, Nagios, Grafana, Cloud Watch

Build & CI Tools

Apache Ant, Maven, Gradle, Docker, Kubernetes, Confluence, Jenkins, Bamboo

CD Tools

Custom Tools, RPM, YUM, NPM, Octopus Deploy

Bug tracking Tools

Atlassian JIRA, Bugzilla, Bug tracker.

Cloud Technologies

AWS (VPC, EC2, S3, CloudWatch, Lambda, RDS, EBS, IAM), GCP, Azure

Languages

C, C++, C#, Java, Python

Scripting Languages

Python, Bash, Shell Scripting, Groovy, Ruby, Perl and YAML

Web Application Servers & Technologies

Apache Web Server on Windows, IIS, Linux and Solaris, Web Logic, JBOSS, Tomcat, Apache 2.x, 3.x

Middleware File Systems

WebLogic, WebSphere and Tomcat, UFS, VMware, vSphere

Databases

MSSQL, MySQL, IBM DB2, MongoDB, DynamoDB, PostGRE SQL

Operating Systems

UNIX, Linux, Red Hat Linux 5.x/6.x/7 Ubuntu, Centos, Windows Server 2003/2008/2012

Networking Protocols

TCP/IP, NIS, NFS, DNS, DHCP, Cisco Routers/Switches, WAN, SMTP, LAN, FTP/TFTP, UUCP, X.25, LAN, WAN, SSH, UDP, TELNET, Load Balancing, Firewalls

Education:

Southern Arkansas University 2022 - 2023

Computer and Information Science – Masters

Magnolia, Arkansas, USA.

Bharat Institute of Engineering & Technology 20214 - 2018

Mechanical Engineering– Bachelors

Hyderabad, India.

PROFESSIONAL EXPERIENCE:

PwC, Texas August 2024 - Present

AWS DevOps Engineer

RESPONSIBILITIES:

Designed and implemented CI/CD pipelines using AWS Code Pipeline, AWS Code Build, AWS Code Deploy, and Azure DevOps to automate software build, test, and deployment processes.

Configured and managed AWS resources including EC2 instances, S3 buckets, VPCs, and security groups, and Azure resources such as virtual machines, storage accounts, and security groups.

Integrated code into source control systems using Azure Repos and Git, and automated deployments with AWS Code Pipeline and Azure DevOps Pipelines.

Implemented and configured monitoring and alerting systems using AWS CloudWatch and Azure Monitor, ensuring optimal application and infrastructure performance.

Troubleshot and resolved issues related to AWS Code Build, AWS Code Deploy, Azure DevOps Pipelines, and application performance across AWS and Azure.

Developed and managed infrastructure as code using AWS CloudFormation, Terraform, Azure Resource Manager (ARM) templates, and PowerShell scripts.

Researched and recommended new tools including AWS CloudFormation, Terraform, and Azure DevOps to enhance productivity and operational efficiency.

Provided technical guidance and support on version control using Git and Azure Repos, and release management using AWS Code Pipeline and Azure DevOps Pipelines.

Collaborated with security teams to implement security controls using AWS IAM, Azure AD, and Azure Key Vault to ensure compliance with security policies.

Documented processes, procedures, and best practices for AWS Code Pipeline, Azure DevOps, AWS CloudFormation, and ARM templates.

Configured and optimized CI/CD workflows with AWS Code Pipeline and Azure DevOps Pipelines, including automated testing and release strategies.

Managed disaster recovery and backup strategies using AWS Backup, Azure Backup, and AWS S3 Glacier.

Utilized AWS Key Management Service (KMS) and Azure Key Vault for secure management of secrets, keys, and certificates.

Automated routine tasks using AWS Lambda, Azure Automation, and PowerShell scripts.

Conducted performance tuning and capacity planning for AWS Auto Scaling Groups, Azure Virtual Machine Scale Sets, and Elastic Load Balancing.

Implemented auto-scaling and load balancing solutions using AWS Elastic Load Balancer and Azure Load Balancer.

Developed custom scripts using AWS CLI, Azure CLI, PowerShell, and Terraform for infrastructure automation and management.

Managed cross-functional projects involving AWS EC2, Azure VMs, AWS Code Pipeline, and Azure DevOps Pipelines to achieve project goals.

Monitored compliance with industry standards using AWS Config, Azure Policy, and AWS CloudTrail for governance and auditing.

Led the migration of database systems to AWS RDS and Azure SQL Database, ensuring data integrity, performance optimization, and minimal downtime during transitions.

Engineered data pipeline solutions using AWS Glue and Azure Data Factory, enabling efficient ETL processes and data transformation for analytics and reporting.

Developed and deployed containerized applications using AWS ECS and Azure Kubernetes Service (AKS), facilitating scalable and managed container orchestration.

Implemented serverless architectures with AWS Lambda and Azure Functions, reducing operational overhead and improving scalability for event-driven applications.

Configured and managed multi-region deployments to ensure high availability and disaster recovery using AWS Route 53 and Azure Traffic Manager for global traffic distribution.

Conducted extensive cost optimization reviews and implemented reserved instances and savings plans in AWS and Azure to reduce overall cloud expenditure.

Environment: AWS, Azure, Jenkins, AWS CloudFormation, Terraform, Azure Resource Manager, Ansible, Puppet, Chef, Docker, Kubernetes, AKS, AWS ECS, AWS CloudWatch, Azure Monitor, Prometheus, Splunk, Nagios, Azure Application Insights, AWS IAM, Azure AD, Azure Key Vault, AWS KMS, Azure Security Center, AWS Lambda, Azure Functions, PowerShell, Bash scripts, Shell scripting, Python, AWS VPC, Azure Virtual Network, Route 53, Azure Traffic Manager, AWS Direct Connect, Azure VPN Gateway, Git, Azure Repos, JIRA, AWS RDS, Azure SQL, MySQL, Oracle, AWS Backup, Azure Backup, AWS S3 Glacier, AWS CLI, Azure CLI, Maven, Linux

TechMaster Data, Texas March 2024 – August 2024

AWS DevOps Engineer

RESPONSIBILITIES:

Design, configure and deploy Amazon Web Services (AWS) for a multitude of applications using the AWS stack (EC2, Route53, S3, RDS, Cloud Formation, Cloud Watch, SQS, IAM).

Involved in Building and configuring Red Hat Linux Servers using Kick Start server as required for the project.

Maintained maximum uptime and maximum performance capacity for enterprise production, QA and UAT/staging.

Expertise in AWS, experience in implementing new AWS instances and working with EBS and S3 storage, IAM.

Launching and configuring of Amazon EC2 Cloud Servers using AMI's (Linux/Ubuntu).

Build Continuous Integration environment Jenkins and Continuous delivery environment.

Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.

Configured and managed AWS Elastic Load Balancers (ELBs) using Boto3, ensuring that traffic was efficiently distributed across multiple instances.

Build Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code and administered/engineered Jenkins for managing weekly builds.

Developed CI/ CD - Building Docker container for Java, Spring boot and Node.js applications and deploying to AWS EC2 instance using Jenkins, Ansible, Lambda and DynamoDB.

Experience with container-based deployments using Docker, working with Docker images, Docker hub and Docker registries, installation and configuring Kubernetes and clustering them.

Worked on AWS resources code commits as a version controlling system.

Set up the scripts for creation of new snapshots and deletion of old snapshots in S3

Worked on setting up the life cycle policies to back the data from AWS.

Worked with Amazon IAM console to create custom users and groups

Worked with various AWS EC2 and S3 CLI tools.

Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.

Supported AWS Cloud environment with AWS instances and configured Elastic IP and Elastic storage.

Used Kubernetes to deploy Scale, Load Balance and manage DOCKER containers with multiple namespace versions.

Cloud and system virtualization platforms and tools (AWS, Docker).

Building and configuring of EC2 instance on AWS cloud platform, Configuration of Elastic Load Balancer (ELB) for traffic control for the EC2 and S3 instances.

Architecting of cost-effective infrastructure by utilizing various AWS services and options.

Building of High Availability and Fault Tolerant infrastructure by utilizing various Amazon regions and availability zones.

Administered and Implemented CI tool Jenkins for automated builds.

Extensive experience in Implementing Configuration Management tools like Ansible.

Developed Ansible playbooks for an automated server provisioning and Docker images for reducing the time between provisioning and deployment.

Developed custom Python scripts to automate AWS infrastructure provisioning and configuration tasks, ensuring rapid and reliable deployment of resources such as EC2 instances, S3 buckets, and IAM policies.

Integrated Python scripts into CI/CD pipelines using Jenkins, facilitating continuous integration and delivery of applications hosted on AWS.

Wrote Python functions to handle various AWS Lambda events, such as S3 object uploads, API Gateway requests, and DynamoDB triggers, optimizing resource utilization and reducing operational overhead.

Utilized Python libraries like Boto3 and CloudFormation to orchestrate complex AWS infrastructure deployments, including multi-tier architectures and high-availability setups.

Created Bash and PowerShell scripts to automate routine DevOps tasks such as environment setup, application deployment, and log monitoring.

Utilized Bash for Linux-based systems and PowerShell for Windows environments, ensuring cross-platform automation compatibility.

Implemented PowerShell scripts for Windows server automation and management within the AWS environment.

Assisted in the migration of certain workloads to Azure, leveraging Azure services such as VMs, Storage, and Azure Active Directory.

Have a solid understanding of Azure cloud services and architecture, including virtual machines, Azure Storage, Azure Active Directory, and Azure DevOps.

Supported the integration of Google Cloud services for specific project requirements, including setting up GCP compute instances and storage buckets.

Proficient in GCP fundamentals, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, and Cloud IAM.

ENVIRONMENT: Red Hat, Linux, AWS, Terraform, EBS, Docker, AWS EC2, QA, Docker, GCP, Azure, Maven, Apache Tomcat, Bash, Shell, Python scripting, Splunk, Jira, Python, Groovy, VMWare, GIT, GITHUB, Subversion, Jenkins, Chef, Ansible, Kubernetes, JAVA, JBoss, WebLogic, VMWare, Nagios, MSSQL.

Biocon, India Jan 2022 - June 2022

Cloud DevOps Engineer

RESPONSIBILITIES:

Creating the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system for all our products.

Involved in redesign of the existing application using Microservice based architecture.

Writing different Chef Cookbooks for installing, configuration, and upgrading different applications on the Servers.

Experienced with Jenkins, AWS, Terraform and GIT as source control.

Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform, managed Infrastructure as code using Terraform.

Supporting the performance testing, security testing and infrastructure maintenance of the existing applications using tools like Fortify, Sonar and Performance Center Lab.

Managing the applications current state and future state artifacts for architecture & infrastructure, maintaining the design documents and technical documents for knowledge base.

Involved in designing and deploying multitude applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation.

Involved in Harness tool migration which was alternate for Jenkins in production and leveraged Helm chart / antifactory image push for Kubernetes deployment

Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.

Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud Formation templates and deployed AWS resources using it.

Configured RDS instances using Cloud formations and terraform.

Used Terraform to map more complex dependencies and identify network issue.

Worked on Docker/Kubernetes Containerization of cloud-based applications

Strong experience utilizing Jenkins for enterprise scale infrastructure configuration and application deployments checking out code from svn/git and use ant/maven to build war/jar artifacts.

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

Used Ansible for configuration management of hosted Instances within AWS. Configuring and Networking of Virtual Private Cloud.

Defined branching, labeling, and merge strategies for all applications in Git.

Creating and configuring Azure VMs to run Windows or Linux workloads in the cloud, Managing VM instances, including provisioning, resizing, and scaling based on demand.

Worked on Uploading files and objects to Azure Blob Storage containers, implementing lifecycle management policies to automate data tiering and retention.

Setting up monitoring alerts and notifications for Azure VMs, Azure SQL Database, and other Azure services to Analyze performance metrics, logs, and diagnostic data to identify and troubleshoot issues.

Integrated Azure Functions with other Azure services such as Azure Blob Storage and Azure Event Grid.

Created & attached disks to Azure VMs for persistent storage.

Integrated Azure AD with Azure subscriptions and services to manage user identities and access permissions, Implemented single sign-on (SSO) and multi-factor authentication (MFA) for enhanced security.

Utilized Python for scripting tasks related to application deployment, monitoring, and configuration management.

Have utilized Python libraries and frameworks to streamline processes and enhance efficiency in infrastructure management and deployment workflows.

Created PowerShell scripts for managing Windows-based infrastructure components and automating routine administrative tasks and Developed PowerShell scripts to Active Directory configuration.

Developed Bash scripts for automating routine system maintenance tasks and application deployments on Linux servers.

Have theoretical knowledge of GCP services such as Google Compute Engine, Google Cloud Storage, Google Cloud SQL, and Google Kubernetes Engine.

ENVIRONMENT: Java, WebSphere, Jboss, AWS, GCP, Azure, ansible, Agile, Jenkins, Terraform, Kubernetes, Route53, EBS, SQL, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Shell scripting, Git, Chef, Python, Bash Scripts, Shell Scripts, YAML.

Divis, India June 2018 – Jan 2022

Devops Engineer

RESPONSIBILITIES:

Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.

Leveraged AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts.

Design and Implemented Cloud Orchestration solution using AWS EC2 &, Docker.

Automated Weekly releases with ANT/Maven scripting for Compiling Java Code, Debugging and Placing Builds into Maven Repository.

Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Lambda, Dynamo DB, and SNS services in AWS cloud and Deployed applications on AWS by using Elastic Beanstalk.

Enabled the Amazon Cloud watch to monitor major metrics like Network packets, CPU utilization and load balancer.

Responsible for orchestrating CI/CD processes by responding to Git triggers, human input, and dependency chains and environment setup, Design and document CI/CD tools configuration management.

Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

Implemented ISTIO as a service mesh component to observe and control network flow across services running in multiple Kubernetes clusters.

Implementing a Continuous Delivery framework using Jenkins, chef, Maven and Nexus in Linux.

Setup and installed RHEL, Centos, Ubuntu, Solaris servers.

Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations and configure Apache Tomcat, Jenkins, and Run-Deck and deployment automation.

Performed SVN to GIT/Bitbucket migration and managed branching strategies using GIT workflow. Managed User access control, Triggers, workflows, hooks, security and repository control in Bitbucket.

Experience using Nagios monitoring system and different Bug Tracking Tools like Remedy, Jira, and ServiceNow

Employed Python for building custom tools and automation scripts to streamline CI/CD processes and infrastructure management on AWS.

Developed Bash scripts for automating routine system administration tasks, log monitoring, and backup processes.

Used PowerShell scripting for Windows server management and automation tasks within the AWS environment.

Implemented a CD delivery pipeline with Docker, Jenkins and GitHub with AWS AMI’s.

Installed Docker registry for local upload and download of Docker images and from Docker hub.

Deployed Java/J2EE applications to Application servers in an agile continuous integration environment and automated the whole process.

Work with development/testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.

ENVIRONMENT: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail, Route 53), VDI, Linux, Git, IAM, Cloud watch, Cloud Formation, AWS CLI, AWS Auto Scaling, Ant, Maven, Nagios, Subversion, JIRA, Agile, Jenkins, Shell scripting, Chef, Web Sphere, Kubernetes, JBoss, Apache Tomcat, Docker.

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