Senior Java Software Engineer (Middleware)

Required Skills & Experience : Backend (Must-Have) : - 4 to 6 years of professional experience building scalable backend systems and RESTful APIs using Java (Spring Boot, Spring MVC).- Strong proficiency in Java ecosystem : Spring Framework (Boot, Security, Data JPA), Maven/Gradle, JUnit, and Hibernate ORM.- Solid experience with relational databases (PostgreSQL / MySQL) including query optimization, indexing strategies, stored procedures, and migration management.- Working knowledge of caching (Redis), message queues (RabbitMQ / Kafka), and asynchronous processing patterns.- Hands-on experience with Docker, CI/CD pipelines (GitHub Actions, Jenkins, or equivalent), and cloud services (AWS preferred).- Understanding of microservices architecture, API gateway patterns, service discovery, and distributed system fundamentals.- Strong grasp of authentication and authorization patterns (JWT, OAuth 2.0), middleware design, and API security best practices.AI & General : - Demonstrated ability to use AI coding tools (GitHub Copilot, Claude, Cursor, ChatGPT, or equivalent) as part of daily development workflow.- Ability to critically evaluate, debug, and improve AI-generated code rather than accepting it blindly.- Strong problem-solving skills with a solid foundation in data structures and algorithms.- Proficiency with version control (Git) and collaborative branching strategies.- Excellent written and verbal communication skills.Nice to Have : - Experience building backend systems for trading platforms, order book engines, matching engines, or financial data pipelines.- Familiarity with virtual/digital asset platforms, crypto exchanges, or fintech products.- Exposure to real-time data handling (WebSockets, Server-Sent Events) in trading or market data contexts.- Knowledge of RFQ (Request for Quote), OTC, or institutional trading workflows.- Exposure to FIX Protocol (Financial Information eXchange) development for order routing, trade execution, or market data integration in trading systems.- Experience with prompt engineering or building AI-augmented features within applications (e.g., AI chat interfaces, intelligent form-fill, copilot-style UX).- Experience with GraphQL, event-driven architectures, or serverless patterns (AWS Lambda, API Gateway).- Understanding of security best practices for financial applications (token management, data encryption, secure API communication).- Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack, Datadog). (ref:hirist.tech) .