Staff Software Engineer leading architectural design and full-stack development for biometric identity verification at Entrust. Shaping the future of biometric authentication technology for various platforms.
Responsibilities
Lead the full-stack architectural design and implementation of biometric identity verification solutions spanning React web applications, Swift iOS SDKs, and Kotlin Android SDKs
Drive technical strategy and roadmap development for the Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements
Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices
Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI, ETSI, and GDPR regulations
Mentor and guide engineering teams through complex technical challenges, code reviews, and architectural decisions
Partner with product management and engineering leadership to translate business requirements into scalable technical solutions
Champion software security best practices including secure SDLC, cryptographic implementation, and code obfuscation techniques
Lead the evaluation and integration of emerging technologies such as quantum-resistant cryptography and zero-knowledge proof systems
Drive continuous improvement of development processes, deployment pipelines, and system reliability
Represent Entrust's technical capabilities in industry forums and contribute to open-source biometric standards
Requirements
Bachelor's degree in Computer Science, Software Engineering, or related technical field
8+ years of professional software development experience with a focus on full-stack engineering
4+ years of experience in a senior or staff-level engineering role with demonstrated technical leadership
Expert-level proficiency in at least two of the following: React/TypeScript, Swift/iOS development, Kotlin/Android development, Python
Strong experience with cloud platforms (AWS, Azure, GCP) and containerized deployment using Docker and Kubernetes
Proven track record of designing and implementing scalable distributed systems and microservices architectures
General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production
Deep understanding of software security principles, cryptography, and privacy-by-design methodologies
Experience with agile development methodologies and modern DevOps practices
Strong communication skills with ability to explain complex technical concepts to diverse audiences.
Benefits
Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.
Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.
Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.
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