Java Software Engineer

We are seeking a skilled Java Backend Developer to design, develop, and maintain scalable backend applications and enterprise services that power modern digital platforms. This role is ideal for an engineer with strong experience in Java, Spring Boot, REST APIs, and microservices development who enjoys building reliable, high-performance backend systems in a collaborative Agile environment. The ideal candidate has solid software engineering fundamentals, experience developing enterprise applications, and a passion for building secure, scalable, and maintainable solutions. Key Responsibilities Design, develop, test, and maintain backend applications using Java, Spring Boot, and related technologies Build and support RESTful APIs, microservices, and backend integrations that are secure, scalable, and maintainable Collaborate with product owners, architects, QA engineers, and development teams to deliver high-quality software solutions Participate in code reviews, troubleshooting, debugging, and performance optimization Develop and optimize database interactions, data models, and application performance Contribute to CI/CD pipelines, automated testing, and software deployment processes Follow software engineering best practices, coding standards, and secure development principles Support production applications and assist with issue resolution as needed Required Skills & Qualifications 5–7 years of experience in Java backend development Strong experience with Core Java, including object-oriented programming, collections, exception handling, and multithreading and asynchronous programming. Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA, and Spring Security Experience developing and consuming RESTful APIs and microservice Solid understanding of software design principles and backend architecture pattern Experience working with relational databases such as PostgreSQL, MySQL, or Oracle Experience with NoSQL databases such as MongoDB or Redi Familiarity with event-driven architecture and asynchronous processing Familiarity with Kafka, RabbitMQ, or other messaging technologies Experience using Git, Maven or Gradle, and CI/CD tool Strong problem-solving skills and the ability to work in Agile development environment Excellent communication and collaboration skill Nice to Have Experience with Docker and containerized application development Exposure to Kubernetes and cloud platforms such as AWS, Azure, or GCP Understanding of distributed systems concepts and resiliency patterns Exposure to modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI agents AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code Experience working in financial services, healthcare, or other regulated industry.