Java Developer

Job Details : Role: Java Developer Experience: 5 to 8+ yrs Notice Period: Immediate to 15 Days Or Serving Notice period. Qualification: Graduation Technical Skills We are seeking an experienced Senior Java Developer to join our team in building modern enterprise applications with AI capabilities. You will work on mission-critical systems involving real-time data processing, automated workflows, and intelligent business solutions. This role offers the opportunity to work with cutting-edge technologies while developing scalable, cloud-native backend systems and APIs. Key Responsibilities Backend Development & Architecture (50%) Design, develop, and maintain RESTful and/or GraphQL APIs for seamless data exchange Build robust, scalable, and intelligent backend systems using Java/Spring ecosystem Design and implement scalable microservices architectures Develop real-time data processing systems and automated workflows Write high-quality, test-covered code with proper logging, observability, and documentation Design and optimize database schemas and queries for both relational and NoSQL databases AI Integration & Data Management (30%) Integrate AI/ML models and services into backend systems to enhance application functionality Build AI-driven services and intelligent business solutions Develop and maintain data pipelines for AI/ML workflows Work with AI/ML frameworks and cloud-based AI services Implement data processing and transformation pipelines Handle AI response processing, token management, and context handling System Optimization & DevOps (20%) Identify and resolve performance bottlenecks to ensure optimal system performance Utilize cloud platforms (AWS, GCP, Azure) for deployment and management of backend services Implement containerization using Docker and Kubernetes Participate in CI/CD practices and contribute to DevOps processes Implement caching mechanisms and performance monitoring Ensure system reliability, scalability, and security Required Technical Skills Core Java & Backend Expertise Java : 5+ years of strong expertise in Java and Spring ecosystem (Spring Boot, Spring Security, Spring Data) API Development : Deep experience in designing RESTful and GraphQL APIs Microservices : Strong understanding of microservices architecture and design patterns Database Management : Proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra) Testing : Experience with unit testing, integration testing, and test-driven development Code Quality : Strong focus on clean, maintainable, and well-documented code AI & Data Integration AI/ML Integration : Experience integrating AI/ML models and services into production systems AI Frameworks : Familiarity with Langchain, LangGraph, TensorFlow, or similar frameworks (preferred) Data Pipelines : Experience building and maintaining data processing pipelines Cloud AI Services : Knowledge of AWS AI services, Google AI, Azure Cognitive Services Python : Basic to intermediate Python knowledge for AI/ML integration Message Queues : Experience with Kafka, RabbitMQ, or similar systems (preferred) DevOps & Cloud Technologies Containerization : Proficiency with Docker and Kubernetes Cloud Platforms : Hands-on experience with AWS, GCP, or Azure Caching : Experience with Redis, Memcached, or similar caching solutions CI/CD : Strong understanding of continuous integration and deployment practices Monitoring : Experience with performance monitoring tools and observability practices Version Control : Proficiency with Git and collaborative development workflows Experience Requirements Education BTech/MTech/MS in Computer Science, Engineering, or related field OR equivalent practical experience Required Experience Total Experience : 5-8 years in software development Java Development : 5+ years of hands-on Java/Spring experience Backend Systems : 4+ years building scalable backend applications API Development : 3+ years designing and implementing production APIs Cloud Infrastructure : 2+ years with cloud-based infrastructures AI/ML Integration : 1+ years integrating AI services (preferred) Project Experience Built and deployed microservices-based applications Integrated complex third-party APIs and AI/ML services Implemented real-time data processing systems Designed and optimized high-performance database systems Experience with automated workflows and intelligent business solutions Built systems handling significant scale and traffic Additional Qualifications Soft Skills Excellent communication and collaboration skills Strong problem-solving abilities and analytical thinking Passion for team-level decision-making, considering customer and business needs Experience working in Agile methodologies Ability to mentor junior developers and contribute to technical decisions Preferred Experience Experience with serverless architecture Knowledge of data warehousing and ETL processes Familiarity with event-driven architectures Understanding of security best practices and compliance requirements Experience in regulated industries (healthcare, fintech) is a plus Contribution to open-source projects or technical communities What You'll Work On Mission-critical enterprise applications with AI capabilities Real-time data processing and analytics systems Intelligent automation and workflow systems Scalable APIs serving millions of requests Integration with cutting-edge AI/ML models and services Cloud-native applications with modern DevOps practices