Biometrics Software Engineer

• Biometric Technologies: Strong understanding of various biometric modalities (facial recognition, fingerprint, iris scanning), including their strengths, limitations, and accuracy factors\n
• API Integration: Experience with integrating third-party APIs and SDKs for biometric data capture and processing\n
• Security Knowledge: Understanding of security protocols and best practices for handling sensitive biometric data\n
• Database Management: Familiarity with database technologies to store and manage biometric data\n
• Software Development and Agile Practices: Expert with Java, Spring, C2S, and the software development lifecycle: Experience delivering within DevOps toolsets/practices.\n
• Education/Experience: Master’s degree with 15 or more years of prior relevant experience or Doctorate with 13 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree.\n
• Citizenship and Clearance: Candidate must be a US Citizen and possess an active TS//SCI with Polygraph.\n

n \nLeidos has a new and exciting opportunity for a \nBiometrics Software Engineer (SME) in our \nIntel Security Sector’s Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At \nLeidos, we offer \ncompetitive benefits, including Paid Time Off, 11 paid Holidays, Immediate Vesting in our 401K, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. \nJoin us and make a difference in National Security! \n \n \nTo be considered you must have an active and current TS/SCI w/ Poly security clearance\n \n \nJob Description\n \n The Biometrics Software Engineer role specializes in integrating biometric technologies (e.g., fingerprint, facial recognition, iris scanning) from systems such as IDEMIA’s MBSS into existing software systems, requiring expertise in both biometric algorithms and software development practices to seamlessly connect biometric data capture with other applications and platforms. \n \n \nPrimary Responsibilities\n \n \n

• Biometric Integration: Design and implement software modules to integrate various biometric modalities (facial recognition, fingerprint, iris scan) with existing applications and systems using provided SDKs and APIs.\n
• API Development: Develop and maintain application programming interfaces (APIs) for third-party applications to interact with the biometric system.\n
• System Architecture: Contribute to the overall system architecture for biometric integration, ensuring scalability, security, and performance.\n
• Data Handling: Develop data processing pipelines to handle biometric data capture, storage, and transmission, adhering to privacy and security regulations.\n
• Software Development: Participate in software programming initiatives to support innovation and enhancement, using Java and JavaScript\n
• Technical Documentation: Create detailed technical documentation for integration processes, API usage, and system configurations.\n
• Troubleshooting: Identify and resolve issues related to biometric integration, including software compatibility and data quality.\n