I will develop a scalable java spring boot backend solution

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C
ch_ramrohit_02
Ch Ram Rohit
develop a scalable java spring boot backend solution
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develop a scalable java spring boot backend solution

About this gig

Welcome! If you're looking for a professional Java Spring Boot developer to build, optimize, or scale your backend, you've come to the right place. With my expertise in Java, Spring Boot, and microservices architecture, I will develop high-performance backend solutions tailored to your business needs.

What I Offer:

  • Custom Backend Development
  • RESTful API Development
  • Microservices Architecture
  • Database Design & Optimization ( MySQL, MongoDB)
  • Security Implementation (OAuth2, JWT, Role-Based Access Control)
  • CI/CD Integration (Docker, Jenkins, Maven)
  • Performance Tuning & Optimization
  • Maintenance & Support

Why Choose Me?

  • 5+ Years of Java Spring Development Experience
  • Clean, Maintainable, and Scalable Code
  • Excellent Communication & Timely Delivery
  • 100% Customer Satisfaction

  • Programming language

    • Java

  • Expertise

    • Algorithms & Data structures
    • Debugging
    • Performance
    • Security
    • Databases

  • Frontend framework

    • AngularJS
    • Bootstrap
    • Tailwind CSS
    • Angular

  • Backend framework

    • Spring
    • Node.js

Get to know Ch Ram Rohit

Ch Ram Rohit

Building Scalable, Secure, and Smart Solutions with Java and cloud

  • FromIndia
  • Member sinceMar 2025

  • Languages

    Telugu, English
I am an experienced Full-Stack Java Developer with expertise in building and optimizing scalable enterprise applications using Java, Spring Boot, and Angular. With a strong foundation in microservices architecture, DevOps practices, and cloud computing , I specialize in developing robust, secure, and high-performance solutions. 🔹 Backend Development: Java, Spring Boot, Microservices, RESTful APIs 🔹 Frontend Development: Angular, TypeScript, JavaScript 🔹 DevOps & Cloud: Docker, Kubernetes, Jenkins, AWS, OCI 🔹 AI & Innovation: Experience with Retrieval-Augmented Generation (RAG) application

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