Java Full Stack Developer

• Design and develop high-quality, scalable, and secure microservices using Java, Spring Boot, Spring Cloud, and Dataflow.
• Implement and promote DevOps practices including Git, Docker, Kubernetes, CI/CD pipelines, and automated testing.
• Lead the end-to-end delivery of software projects, from requirements through deployment and production support.
• Ensure code quality, performance, reliability, and maintainability through best practices, reviews, and performance optimization.
• Mentor junior developers, conduct code reviews, and guide teams on technical best practices.
• Collaborate with cross-functional teams including product owners, architects, business analysts, and QA teams.
• Design and implement AI-enabled solutions using LLM patterns such as RAG, tool/function calling, and agentic workflows.
• Build evaluation frameworks (eval harnesses), quality gates, and ensure reliability of AI features.
• Develop and integrate MCP-based solutions across enterprise tools and systems.
• Stay updated with emerging technologies and provide innovative solutions and recommendations.

Expertise You'll Bring:

• Bachelor?s or master?s degree in computer science, Engineering, or related field.
• Strong experience in Java development and Microservices architecture.
• Expertise in Java, Spring Boot, Spring Cloud, and related frameworks.
• Solid understanding of data structures, algorithms, OOPs, and design patterns.
• Hands-on experience with DevOps tools such as Git, Docker, Kubernetes, CI/CD pipelines.
• Experience with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, or Cassandra
• Experience with messaging systems (Kafka, MQ, RabbitMQ, etc.).
• Familiarity with testing frameworks like JUnit and Mockito.
• Knowledge of cloud platforms such as Azure, GCP, or PCF.
• Strong understanding of LLM application patterns, including:
• RAG (Retrieval Augmented Generation)
• Tool/Function Calling
• MCP fundamentals
• Experience in prompt engineering and context engineering
• Ability to design agentic and AI-driven architecture
  • Strong communication, problem-solving, and collaboration skills.