Senior Java Full-Stack Developer (7-15 yrs)

Key Responsibilities :

- Architectural Design : Lead the design and architecture of complex systems, ensuring scalability, high performance, and robust security.

- Full Stack Development : Contribute to both backend and full-stack development, primarily using Java and Python, to build high-quality software solutions.

- System Integration : Integrate diverse systems and APIs, ensuring seamless communication and data flow across platforms.

- Code Review & Quality Assurance : Conduct comprehensive code reviews, ensuring adherence to best practices, coding standards, and maintaining code quality.

- Performance Optimization : Identify performance bottlenecks, diagnose issues, and implement solutions to optimize scalability and overall application performance.

- Collaboration : Work collaboratively with cross-functional teams, including front-end developers, product managers, designers, and other stakeholders to deliver high-quality solutions.

- Documentation : Create, maintain, and update detailed documentation for software architecture, development processes, and system integrations. Ensure all architectural decisions are well-documented for future reference.

- Troubleshooting : Proactively diagnose and resolve complex technical issues, ensuring timely delivery of solutions to critical challenges.

Required Qualifications : Experience : Minimum of 7+ years in software development, with a strong emphasis on backend and full-stack development.

Technical Skills :

- Backend Development : Expertise in Java and Python for developing robust backend solutions.

- Frontend Technologies : Experience with front-end technologies including HTML, CSS, JavaScript, and modern frameworks such as React, Angular, or Vue.js.

- Database Technologies : Strong understanding and experience with various database technologies.

- Mulesoft : Significant experience with Mulesoft for API integration and middleware solutions (must have).

- Microservices & API Development : Proficient in designing and implementing microservices architectures and developing RESTful APIs.

- Cloud Platforms : Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, as well as containerization technologies like Docker and Kubernetes.

- Disaster Recovery Solutions : Knowledge of disaster recovery solutions (DR).

- Prompt Engineering Solutions (Nice to Have) : Experience with optimizing machine learning models for performance and accuracy.

- Version Control & CI/CD : Expertise in version control systems (Git) and CI/CD pipeline setup and maintenance.

- Architectural Design : Proven track record of designing scalable and maintainable systems with a deep understanding of architectural principles.

- Documentation : Strong ability to create clear, concise, and comprehensive documentation for both technical and non-technical stakeholders.

Preferred Qualifications :

- Agile Methodologies : Experience working in Agile or Scrum environments.

- Machine Learning & Data Analytics : Familiarity with machine learning frameworks and data analytics tools.

- Integration Experience : Expertise in integrating Java-based middleware and Mulesoft solutions (must have).