Java with Biometric Developer

Responsibilities:

Core Java Development

• Design, develop, and maintain scalable Java-based applications.
• Write clean, efficient, and maintainable code following best practices.

Biometric Data Capture Systems

• Develop and integrate solutions for capturing and processing biometric data (e.g., fingerprints, facial
• recognition).
• Ensure secure storage and management of sensitive biometric information.
• Work with biometric hardware and software tools for seamless data integration.

REST API Development

• Design, implement, and maintain RESTful APIs for seamless communication between systems.
• Ensure APIs are secure, efficient, and adhere to industry standards.

Artificial Intelligence Integration

• Collaborate with the AI team to integrate machine learning models and algorithms into Java-based systems.
• Work on enhancing biometric systems using AI-driven analytics and pattern recognition.

System Performance and Security

• Optimize application performance for large-scale deployments.
• Implement robust security measures to protect sensitive data and ensure compliance with industry standards.

Collaboration and Documentation

• Work closely with cross-functional teams, including product managers and system architects.
• Prepare comprehensive technical documentation and user guides.

Requirements:

• Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Experience: 4+ years in Core Java development.
• Strong knowledge of biometric data processing tools and technologies.
• Hands-on experience with RESTful API design and implementation.
• Basic understanding of AI/ML concepts and tools (e.g., LLMs and Vector DBs).
• Proficiency in version control systems like Git.
• In-depth knowledge of Java frameworks (e.g., Spring, Hibernate).
• Experience with database systems (PostgreSQL and NoSQL).
• Familiarity with biometric SDKs and integration methods.
• Strong problem-solving and debugging skills.
• Excellent communication and teamwork abilities.

Nice-to-Have Skills:

• Experience with DevOps tools (e.g., Docker, Kubernetes).
• Knowledge of cloud platforms, preferably AWS.