Biometrics SW Engineer SME

• Integrate advanced biometric technologies into existing software systems, working with fingerprint, facial recognition, and iris scanning capabilities.
• Connect biometric data capture with applications and platforms, leveraging third-party APIs and SDKs for biometric data processing and integration.
• Apply both biometric and software development expertise, working with Java, Spring, C2S, and DevOps practices throughout the software development lifecycle.
• Work with sensitive biometric data and supporting technologies, applying security best practices and database technologies to help securely store and manage biometric information.
• Contribute to biometric-based identity management solutions, combining software engineering with specialized knowledge of biometric modalities, capabilities, limitations, and accuracy factors.

The Biometrics Software Engineer SME 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.

• Integrate fingerprint, facial recognition, and iris scanning technologies into existing software systems and applications.
• Integrate biometric systems, including IDEMIA MBSS, with applications and platforms used to capture and process biometric data.
• Develop and support software integrations using Java, Spring, C2S, third-party APIs, and SDKs.
• Support the storage and management of biometric data using applicable database technologies and security best practices.
• Participate throughout the software development lifecycle within an Agile/DevOps development environment.

• To be considered, must have an active TS/SCI with at least a CI-poly.
• Education: 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.
• The ideal candidate will possess:
  • Strong understanding of various biometric modalities (facial recognition, fingerprint, iris scanning), including their strengths, limitations, and accuracy factors.
  • Experience with integrating third-party APIs and SDKs for biometric data capture and processing.
  • Understanding security protocols and best practices for handling sensitive biometric data.
  • Familiarity with database technologies to store and manage biometric data.
  • Expert with Java, Spring, C2S, and the software development lifecycle.
  • Experience delivering within DevOps toolsets/practices.
  • Familiarity with database technologies to store and manage biometric data.

• Experience with structured analysis and design methodologies.
• Experience integrating with biometric-based identity management solutions.

• Mon-Fri, 40 hr work week