Backend Engineer – Java & Microservices

About the job

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Backend Engineer – Java & Microservices Gurugram, Haryana About the Role We’re seeking a passionate Senior Java Developer to join our dynamic and innovative engineering team. You will work on a cutting-edge product that pushes the boundaries of technology. As part of a cross-functional, self-organizing team, you will collaborate closely with development leads, product managers, and global stakeholders to deliver high-quality, scalable, and reliable software solutions that create real business impact. Key Responsibilities • Design, develop, and maintain high-performance Java applications in an agile environment. • Translate complex business requirements/user stories into efficient technical solutions. • Write clean, testable, maintainable, and modular code following best practices. • Build and maintain RESTful APIs and microservices using Spring Boot. • Work with Kafka, WebSockets, JPA/Hibernate, and distributed system components. • Participate in code reviews, design discussions, and refactoring activities. • Implement unit, integration, and system tests to ensure application reliability. • Provide Level 3 production support and resolve critical issues when needed. • Maintain technical documentation and contribute to knowledge-sharing across the team. • Collaborate seamlessly with onshore and offshore team members globally. Required Skills & Experience • hands-on experience in Java development. • Strong proficiency in Java 17, object-oriented design, and data structures & algorithms. • Expertise in Spring Boot, REST APIs, microservices architecture, and WebSockets. • Hands-on experience with Apache Kafka, Zookeeper, and PostgreSQL. • Extensive knowledge of JPA/Hibernate, YAML, and API documentation tools (Swagger/OpenAPI). • Experience with multithreading, debugging complex issues, and performance tuning. • Familiarity with Linux environments and scripting. • Basic knowledge of Python for automation is a strong plus. • Proficiency with CI/CD and build tools: Maven, Git, Jenkins. • Strong problem-solving skills, communication, teamwork, and analytical thinking. Preferred / Nice-to-Have Skills • Experience with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP). • Knowledge of Reactive Programming (Project Reactor, RxJava). • Strong understanding of DevOps concepts and pipeline automation. • Experience implementing security best practices, OAuth2, JWT. • Exposure to distributed systems, scalability challenges, and advanced performance optimization. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Requirements

• Java
• Spring Boot
• REST APIs
• Kafka
• PostgreSQL

Preferred Technologies

• Java
• Spring Boot
• REST APIs
• Kafka
• PostgreSQL

About the company

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.