Java Software Engineer

Role OverviewWe 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 UsCodeVyasa 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 Skills5+ 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 ResponsibilitiesDesign, 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.