Java Fullstack Developer
Indexed description
- 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.
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.
- 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.
- 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.
Qualifications: BACHELOR OF COMPUTER SCIENCE
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