Java Fullstack Developer

Core Java: Deep comprehension of concurrency models, memory management (JVM tuning), generics, Collections framework, and functional paradigms introduced in Java 8+. Spring Ecosystem: Comprehensive experience with Spring Boot, Spring Data, Spring Security, and Spring Cloud. Must be able to explain how dependency injection functions at a runtime level. Distributed Messaging: Production experience using Apache Kafka. You should understand partitioning strategies, retention policies, replication factors, and delivery guarantees (at-least-once vs. exactly-once). Relational Databases: Proven Oracle SQL and PL/SQL skills. Proven capability in debugging locks, understanding isolation levels, and optimizing complex joins or batch processing jobs. DevOps : Experienced in CI/CD pipelines, containerization (Docker/Kubernetes), cloud deployments, and infrastructure automation to enable reliable and scalable software delivery. Quality Engineering Mindset: Designs robust, scalable automation frameworks using Selenium, Java, API, and UI automation while embedding quality throughout the SDLC. Design, build, and maintain highly scalable backend services using Java, Spring Boot, and event-driven distributed architectures. Evaluate existing application landscapes and identify areas where refactoring to proper design patterns (e.g., Domain-Driven Design, Event Sourcing, Circuit Breakers) improves maintainability and system resilience. Lead design reviews and construct technical blueprints that map clear system interactions and data flows. Author highly optimized, transactional schemas and queries in Oracle RDBMS; diagnose slow-running queries using execution plans and introduce indexing or caching schemas appropriately. Design event streams and topic schemas in Apache Kafka that guarantee data consistency, fault tolerance, and minimal latency across independent microservices. Manage complex distributed transaction patterns (e.g., Saga Pattern) where traditional ACID properties across single databases are unachievable. Job Description Must Have Technical/Functional Skills Core Java: Deep comprehension of concurrency models, memory management (JVM tuning), generics, Collections framework, and functional paradigms introduced in Java 8+. Spring Ecosystem: Comprehensive experience with Spring Boot, Spring Data, Spring Security, and Spring Cloud. Must be able to explain how dependency injection functions at a runtime level. Distributed Messaging: Production experience using Apache Kafka. You should understand partitioning strategies, retention policies, replication factors, and delivery guarantees (at-least-once vs. exactly-once). Relational Databases: Proven Oracle SQL and PL/SQL skills. Proven capability in debugging locks, understanding isolation levels, and optimizing complex joins or batch processing jobs. Front end - Develop and maintain responsive, accessible, and high-performance user interfaces using React.js, Angular, TypeScript, HTML5, CSS3, Bootstrap, and modern JavaScript frameworks, ensuring seamless integration with backend APIs and an optimal user experience across devices. DevOps : Experienced in CI/CD pipelines, containerization (Docker/Kubernetes), cloud deployments, and infrastructure automation to enable reliable and scalable software delivery. Quality Engineering Mindset: Designs robust, scalable automation frameworks using Selenium, Java, API, and UI automation while embedding quality throughout the SDLC. Roles & Responsibilities Architecture & Design (30%) Design, build, and maintain highly scalable backend services using Java, Spring Boot, and event-driven distributed architectures. Evaluate existing application landscapes and identify areas where refactoring to proper design patterns (e.g., Domain-Driven Design, Event Sourcing, Circuit Breakers) improves maintainability and system resilience. Lead design reviews and construct technical blueprints that map clear system interactions and data flows. Data & Messaging Engineering (40%) Author highly optimized, transactional schemas and queries in Oracle RDBMS; diagnose slow-running queries using execution plans and introduce indexing or caching schemas appropriately. Design event streams and topic schemas in Apache Kafka that guarantee data consistency, fault tolerance, and minimal latency across independent microservices. Manage complex distributed transaction patterns (e.g., Saga Pattern) where traditional ACID properties across single databases are unachievable. Leadership & Full-Stack Evolution (30%) Conduct rigorous code and architecture reviews, acting as a gatekeeper for code quality, structural integrity, and architectural consistency. Mentor mid-level engineers by explicitly breaking down architectural tradeoffs during pair programming or architectural debates. Act as a bridge to the frontend ecosystem by designing clean, contract-first REST or GraphQL APIs and develop responsive user workflows in ReactJS. Salary Range: $100,000 to $130,000 per year Qualifications BACHELOR OF COMPUTER SCIENCE #J-18808-Ljbffr