Java Full Stack Developer

Core Java & Backend Engineering

Strong proficiency in Java 8 or higher.
Hands-on experience with Spring Framework, Spring Boot, Hibernate/JPA.
Strong knowledge of object-oriented design principles, design patterns, and clean coding
practices.

Extensive experience in developing and consuming RESTful APIs and Web Services.
Hands-on experience with XML, XSD, XSLT, JSON, and data transformation techniques.
Experience in backend application troubleshooting, debugging, and performance
optimization.
Front-End/UI Skills (Angular)
Strong experience with Angular (v8+ preferred), TypeScript, JavaScript, HTML5, CSS3, and
Bootstrap.

Experience building responsive and reusable UI components.
Knowledge of state management, component-based architecture, and API integration.
Understanding of UI performance optimization and cross-browser compatibility.
Distributed Systems & Performance

Experience developing and supporting high-throughput, scalable microservices
architectures.
Strong understanding of concurrency, multithreading, asynchronous programming, and
event-driven systems.
Experience working with multi-core and distributed systems handling large volumes of data
and transactions.

Knowledge of application performance tuning and optimization.
Data & Database Skills

Strong Oracle and SQL development skills.
Experience in writing complex queries, stored procedures, and database performance
tuning.

Knowledge of relational database design principles and data modeling.
Messaging & Integration

Experience with messaging and event-streaming platforms such as Kafka.
Knowledge of integration patterns, asynchronous communication, and distributed
messaging frameworks.
Observability & Monitoring

Experience using monitoring and observability tools such as AppDynamics, Splunk,
Moogsoft, or similar platforms.
Ability to analyze logs, identify bottlenecks, and troubleshoot production issues.
DevOps & SDLC

Strong understanding of Software Development Life Cycle (SDLC).
Hands-on experience with source control tools such as Git.
Experience with CI/CD pipelines and DevOps practices.
Familiarity with build and deployment tools such as Maven, Jenkins, GitHub Actions, or
similar tools.

AI & Engineering Productivity

Ability to write effective prompts for Large Language Models (LLMs) and AI agents.
Experience integrating AI/ML capabilities into enterprise applications.
Knowledge of AI-assisted development tools and workflow automation.
Experience implementing AI-powered solutions across front-end and back-end
applications.
Agile & Ways of Working

Experience working in Agile development environments.
Knowledge of Scrum, XP methodologies, sprint planning, and Agile ceremonies.
Ability to work effectively in a fast-paced and dynamic environment.
Strong collaboration skills with cross-functional teams.

Professional Skills
Excellent analytical, problem-solving, and debugging skills.
Strong attention to detail and commitment to quality.
Ability to learn new technologies quickly and work with minimal supervision.
Excellent verbal and written communication skills.
Strong stakeholder management and teamwork capabilities.
Key Skills
Java | Spring Boot | Hibernate | Angular | TypeScript | REST APIs | Microservices | Oracle | SQL |
Kafka | Git | CI/CD | AppDynamics | Splunk | AI Integration | Agile Scrum