Biometrics Software Engineer: API & Secure Systems

Leidos; Bethesda (MD); On-site; USD 154,050 - 278,475; Full time

Benefits offered by this job

Paid Time Off

11 paid holidays

401K with Immediate Vesting

Flexible schedules

Discounted stock purchase

Technical upskilling

Job summary

Leidos is seeking a Biometrics Software Engineer (SME) in the Intel Security Sector’s Analysis Solutions area. The role focuses on integrating biometric technologies (facial recognition, fingerprint, iris) into existing software systems, requiring expertise in biometric algorithms and software development practices to connect biometric data with other applications.

Main responsibilities include designing biometric integration modules, API development, system architecture contributions, and data

Qualifications

• Strong understanding of biometric modalities (facial recognition, fingerprint, iris).
• Experience with integrating third‑party APIs and SDKs for biometric data.
• Knowledge of security protocols for handling sensitive biometric data.
• Familiarity with database technologies to store biometric data.
• Proficiency in Java and JavaScript; experience with Spring; Agile/DevOps environments.

Responsibilities

• Biometric integration: design and implement modules to connect biometric modalities with applications using SDKs/APIs.
• API development: create and maintain APIs for third‑party apps to interact with the biometric system.
• System architecture: contribute to scalable, secure biometric integration architectures.
• Data handling: build pipelines for biometric data capture, storage and transmission with privacy in mind.
• Software development: contribute to development efforts in Java and JavaScript.

Skills

Biometric technologies

API integration

Security best practices

Database management

Java / JavaScript

Education

Master's degree in a relevant field

Job description

Leidos is seeking a Biometrics Software Engineer (SME) in the Intel Security Sector’s Analysis Solutions area. The role focuses on integrating biometric technologies (facial recognition, fingerprint, iris) into existing software systems, requiring expertise in biometric algorithms and software development practices to connect biometric data with other applications.

Main responsibilities include designing biometric integration modules, API development, system architecture contributions, and data