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