Staff Software Engineer

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 Grow adoption of Biometrics products, from face matching, liveness detection and authentication, all the way to how these are integrated from user experience to mobile development and backend processing Work with Director of Engineering and your Staff Engineer+ peers to define path forward for how Biometrics technology will evolve in the context of our team, but also in the context of the Entrust ecosystem and, ultimately, our position in the Digital Identity industry landscape Architect and implement quantum-resistant cryptographic protocols for biometric data protection and zero-knowledge proof integration Contribute to design of unified SDK architecture that provides consistent developer experience across React, Swift, and Kotlin platforms Drive the development of real-time biometric liveness detection capabilities with sub-second response times and 99.9% accuracy 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: Python (preferred), React/TypeScript (preferred), Swift/iOS development, Kotlin/Android development 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 Experience in multi-threaded applications and high-performance computing environments Experience with software security concepts (secure SDLC, cryptography, obfuscation, code signing, and security testing) Experience with SaaS development and deployment at scale Experience with Docker, Kubernetes, Terraform or similar Experience with monitoring tools like Sentry, NewRelic, Datadog, Splunk or similar Experience in SSO, SAML 2.0, OAuth 2.0, and modern identity federation protocols Experience developing a commercial/external software product with external API consumers Previous work in biometrics, computer vision, or identity verification domains Knowledge of privacy regulations (GDPR, BIPA, CCPA) and their technical implementation requirements Experience with Ruby on Rails, Elixir/Phoenix, or other backend frameworks beyond Python Understanding of zero-knowledge proof systems and their practical applications Experience with mobile app security, including certificate pinning, runtime application self-protection (RASP), and anti-tampering techniques Masters or PhD in Computer Science, Machine Learning, or related field Familiarity with quantum computing concepts and post-quantum cryptography- This is a hybrid/remote role based in London, UK or Lisbon, Portugal . If you live within one hour of either office, you'll be expected to work hybrid. For candidates located more than one hour away, a fully remote option is available.At Entrust, we don't just offer jobs - we offer career journeys. Here is what you can expect when you join our team:Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.