Entrust

Entrust is seeking a Principal Cloud DevOps Engineer to build, scale, and automate infrastructure for its machine-learning-powered identity verification platform. The role focuses on AWS, Kubernetes, infrastructure automation, deployment tooling, and production reliability.

Entrust is hiring a Senior Software Developer to design, build, and deploy Go-based microservices in a cloud-native environment. The role is focused on scalable backend systems, APIs, testing, and collaboration with cloud operations teams.

Join Entrust as a Senior Software Developer building Linux-based system tools, embedded HSM software, client-side tools, and secure upgrade capabilities using C and Python. The role offers a hybrid Cambridge work arrangement with significant involvement in system design, security, containers, and networking.

Entrust is seeking a Senior Software Test Engineer to own quality strategy, test automation, and release readiness for identity verification products across web, mobile, backend, and machine-learning-powered experiences. The role combines hands-on framework development with cross-team quality leadership and mentoring.

Entrust is hiring a Junior AI Engineer for a one-year temporary project in Barcelona to develop AI-driven automations, prototypes, and security solutions for agentic AI systems. The hybrid role offers recent engineering graduates hands-on experience at the intersection of artificial intelligence and digital security.

Junior AI Engineer building generative-AI agents, REST APIs, and scalable cloud solutions for Entrust’s security products and internal innovation initiatives. The role offers hybrid work in Barcelona and exposure to the full Pilot-to-Production innovation lifecycle.

Join Entrust’s Signals Team as a full-stack engineer building secure, scalable identity verification and authentication applications. You’ll own complex features end to end, influence architecture, and mentor engineers while working across frontend, backend, and cloud systems.

Join Entrust’s Document Fraud team to build production machine learning systems that extract and classify information from identity documents with high accuracy and low latency. You’ll lead complex technical initiatives involving LLMs, traditional ML, inference optimization, and global-scale document verification.