Software Engineer - I / II(Java)

Core Engineering: • Design, develop, and maintain scalable backend services and APIs.

•Build high-performance distributed systems using Java/J2EE.

•Own features end-to-end from design to deployment and monitoring.

•Optimize applications for performance, scalability, and reliability.

•Write clean, maintainable code with proper unit and automation tests.

•Collaborate with Product, Design, and QA teams to deliver product features.

•Strong analytical skills with excellent logical reasoning and coding abilities.

AI & Modern Tech Initiatives (Recent Trends): • Use AI-assisted development tools (Copilot, ChatGPT, Claude, Codex, Cursor, etc.) for coding, debugging, and documentation.

•Integrate generative AI and Large Language Models (LLMs) into backend services using modern Java AI frameworks like Spring AI or LangChain4j.

•Design and implement Retrieval-Augmented Generation (RAG) workUlows by connecting Java applications with Vector Databases (e.g., Pinecone, Milvus, Qdrant).

•Build AI-driven APIs and robust orchestration layers to manage prompts and context windows efUiciently.

2–5 years of backend development experience.

Strong expertise in Java / J2EE, Springboot, KaUka and React technologies.

•Solid understanding of Data Structures and Algorithms.

Knowledge of multithreading, memory management, and system design.

Experience with MySQL or PostgreSQL, NoSql database.

Strong SQL query writing (SELECT, JOINs, GROUP BY, subqueries, CTEs) • Window functions (ROW_NUMBER, RANK, etc.) and Views • Basic stored procedures/functions • Query optimization fundamentals • Basic indexing concepts and understanding of execution plans (EXPLAIN) • Transaction management (ACID, isolation levels) • Familiarity with MongoDB and RESTful Web Services.

AI & Tech Enhancements: • Experience using AI-powered development tools is a plus.

•Basic understanding of prompt engineering, model temperature tuning, and token optimization.

Experience with cloud-native development, including containerization (Docker, Kubernetes) and CI/CD pipelines.