Ravi Kiran Vadlamani

About Ravi Kiran Vadlamani

Experienced Full Stack Engineer with experience in designing and developing large-scale, distributed software applications and RESTful APIs for enterprise solutions. Skilled in multiple programming languages, with a strong focus on Java (Spring Boot), Python(Flask), NodeJS for backend development, as well as JavaScript and React for building responsive, user-friendly interfaces. Proficient in implementing scalable, cloud-based architectures on AWS and Google Cloud Platform (GCP) to ensure high performance and reliability across applications.Backend Development: Strong focus on Java (Spring Boot), Python (Flask), and Node.js in a microservices architecture to build robust backend services. Designed RESTful APIs and GraphQL endpoints to expose services and manage complex business logic.Frontend Development: Proficient in ReactJS, Redux, and JavaScript for creating dynamic, user-friendly interfaces. Skilled in responsive front-end applications using HTML5, CSS3, Bootstrap, AngularJS, and jQuery to deliver a seamless user experience.Programming Languages: Extensive experience with Java, Python, JavaScript (Node.js), TypeScript, SQL, and PL/SQL. Familiar with C++, Go, and Scala for high-performance applications, with full-stack capabilities in HTML5, CSS3, and JavaScript frameworks.Cloud Platforms and DevOps: Proficient in AWS (EC2, S3, DynamoDB, CloudFront) and GCP (Compute Engine, Cloud Storage, Cloud SQL, App Engine) to implement scalable cloud architectures. Skilled in Docker and Kubernetes for containerization and orchestration, and Terraform for infrastructure as code (IaC).Data Management: Experienced with relational and NoSQL databases including Oracle, MySQL, SQL Server, MongoDB, Cassandra, and Redis for caching. Utilized RabbitMQ and Kafka for message brokering to manage real-time data flow.CI/CD and Code Quality: Implemented CI/CD pipelines using Jenkins and GitLab to automate code builds, testing, and deployments, optimizing the release process. Leveraged SonarQube and CodeQL for code quality and security analysis.Object-Oriented Programming (OOP): Strong understanding of OOP principles—inheritance, polymorphism, encapsulation, and abstraction. Applied design patterns like MVC, Singleton, DAO, and Factory to create reusable and efficient code structures.Multi-Platform Experience: Comfortable in Linux, Windows, and MacOS environments, allowing for versatile development. Used UML for software design documentation and version control with git, SVN, and IBM ClearCase.

Experience

1. Software Engineer Ii

   Amazon Web Services (AWS)

   Mar 2025 — Present · Seattle, WA, US

   AWS Connect - Routing Team

Education

• Carnegie Mellon University

  Master's degree, Electrical and Computer Engineering

• National Institute of Technology, Tiruchirappalli

  Bachelor of Technology - BTech, Instrumentation and Control Engineering

  2011 — 2015

Skills

• Regression Testing
• User Acceptance Testing
• Xamarin UI Test
• Bitrise
• Maven
• Test Planning
• Soapui
• Jira
• Groovy
• Jenkins
• Bug Tracking
• Scrum
• Test Automation
• Software Quality Assurance
• Rest
• Test Cases
• Functional Testing
• Mobile Dev Center
• Test Management
• Manual Testing
• Java
• Selenium Webdriver
• Apis
• Aws Device Farm
• Black Box Testing
• Selenium Grid
• Testing
• Customer Satisfaction
• Appium
• Test Execution
• Selenium