Java Software Engineer

Role Overview

We are looking for an experienced Java Developer with 4+ years of hands-on expertise, Location - Bangalore .

The ideal candidate should be proficient in Java, springboot, kafka. The role requires ownership of end-to-end feature development while collaborating with cross-functional teams to deliver scalable mobile applications.

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy , and others. We are a team of 550+ engineers , driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.

Mandatory Skills

5+ years of Java Backend Development experience.

Strong hands-on experience with Java, Spring Boot, and Microservices .

Strong production experience with Kafka .

Hands-on production experience with Redis .

Strong understanding of HLD, LLD, and System Design .

Experience building high-scale/distributed systems .

Strong SQL and database optimization skills.

Experience with AWS or other cloud platforms .

Strong coding, DSA, and problem-solving abilities.

4–5+ years of experience in a product-based company is highly preferred.

Key Responsibilities

Design, develop, and maintain scalable backend services using Java, Spring Boot, and Microservices .

Build and optimize high-throughput, distributed systems for large-scale applications.

Develop event-driven solutions using Apache Kafka .

Implement and manage Redis for caching and performance optimization.

Create HLD/LLD and contribute to system architecture and design decisions .

Optimize SQL queries, database schemas, and overall database performance.

Develop and deploy applications on AWS/cloud environments .

Write clean, maintainable, and production-ready code.

Participate in code reviews, technical discussions, and architecture decisions.

Solve complex technical problems using strong DSA and problem-solving skills .

Why Join Us?

• Work on innovative, high-impact projects with leading global clients.
• Exposure to large-scale Data Science, AI, and Analytics initiatives.
• Continuous learning and upskilling opportunities through internal and external programs.
• Supportive and collaborative work culture with flexible policies.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage for employees and dependents.