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