Entrust

www.entrust.com

7 Jobs

3,345 Employees

About the Company

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings.
We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world - so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner
network. We are trusted by the world's most trusted organizations.

Listed Jobs

Company Name: Entrust
Job Title: Senior Software Developer
Job Description: **Job Title:** Senior Software Developer **Role Summary:** Design, develop, and maintain Java‑based backend services for Entrust’s Digital Card Services and Instant Financial Issuance platform. Operate within an Agile Scrum team, ensuring secure, high‑performance SaaS solutions that integrate with mobile wallet SDKs and RESTful APIs. **Expectations:** - Deliver high‑quality code with minimal supervision. - Act as a self‑directed team player who drives innovation and removes bottlenecks. - Participate actively in Agile ceremonies and uphold project standards. - Provide timely support for production incidents and escalations. **Key Responsibilities:** - Design, implement, test, deploy, and debug Java/Spring Boot applications and micro‑services. - Conduct code reviews, unit testing (JUnit) and enforce secure development life‑cycle practices. - Develop and maintain CI/CD pipelines and automation scripts. - Contribute to effort estimation, task breakdown, and sprint planning. - Document requirements, technical designs, and support production issue resolution. - Collaborate with cross‑functional squads (Backend, DevOps, Mobile, QA) to ensure seamless integration. **Required Skills:** - 5+ years Java backend development (Spring, Hibernate). - 3+ years experience with JUnit and test‑driven development. - Strong knowledge of RESTful API design and integration. - Proficient with relational databases and SQL. - Experience with Agile/Scrum methodologies and related tools. - Understanding of secure coding, threat modeling, and web application security. - Ability to work independently while contributing to a collaborative team environment. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, MIS, Engineering, or related technical field. - (Optional) Professional certifications in Java, Spring, or cloud security are a plus.

Company Name: Entrust
Job Title: Applied Scientist I
Job Description: Job title: Applied Scientist I Role Summary: Design, train, and evaluate cutting‑edge machine learning models for digital identity verification, focusing on deepfake detection, bias mitigation, document understanding, anomaly detection, and efficient on‑device inference. Expactations: - Deliver high‑performance models that integrate into production identity services. - Publish research findings in industry conferences or journals. - Collaborate with product and engineering teams to translate research into scalable features. Key Responsibilities: - Conduct research and develop novel algorithms for deepfake detection, bias mitigation, face matching, document extraction, and fraud/anomaly detection. - Implement, benchmark, and refine large‑scale vision‑language and multi‑modal models, including synthetic data generation. - Optimize training pipelines for distributed GPU environments and stream‑line model serving with tools such as LoRA, PEFT, Triton, and PyTorch Lightning. - Profile and debug model training and inference to reduce latency and increase throughput on multiple GPUs and edge devices. - Create and curate datasets for deepfake detection and document understanding tasks. - Publish results in top‑tier machine learning conferences or scientific journals. - Support cross‑functional teams in integrating models into identity verification platforms. Required Skills: - Strong background in machine learning theory and practical deep learning. - Proficient in Python and PyTorch; experience with CUDA, distributed training, and model optimization. - Expertise in computer vision, especially in face recognition, bias mitigation, deepfake detection, or document understanding. - Ability to design experiments, benchmark models, and iterate quickly. - Excellent problem‑solving and communication skills; ability to work collaboratively with engineering and product teams. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field. - (Preferred) Publications or conference presentations in machine learning or computer vision.

Paris, France

On site

15-01-2026

Company Name: Entrust
Job Title: Applied Scientist Intern - London, UK
Job Description: Job title: Applied Scientist Intern Role Summary: Conduct research and develop machine learning and computer vision models for fraud detection, face matching, and document extraction within an identity‑security platform. Expectations: - Complete assigned research tasks under senior scientist mentorship. - Contribute to production‑ready models and publish findings. - Collaborate with cross‑functional teams and share insights through code and documentation. Key Responsibilities: - Design, prototype, and evaluate Vision‑Language Models for fraud detection and document extraction. - Process and train on large‑scale image and video datasets using multi‑GPU clusters. - Optimize model performance for deployment in a high‑volume security product. - Produce research code in Python and maintain version control. - Participate in knowledge sharing sessions and contribute to open‑source initiatives. Required Skills: - Proficient in Python programming. - Experience with modern deep‑learning frameworks (PyTorch or TensorFlow). - Strong problem‑solving and analytical skills. - Excellent written and verbal communication. - Eager to learn and adapt to new technologies. Required Education & Certifications: - Current enrollment in a Master’s or Ph.D. program in Computer Science, Machine Learning, or a related field. - No specific certifications required.

London, United kingdom

Hybrid

Fresher

20-01-2026

Company Name: Entrust
Job Title: Senior Java Backend Engineer
Job Description: **Job Title:** Senior Java Backend Engineer **Role Summary:** Design, develop, test, and maintain Java/Spring Boot microservices for a secure digital payment platform. Lead backend initiatives within a small team, ensuring high quality, scalability, and compliance with security standards, while fostering continuous improvement through Agile practices and automation. **Expectations:** Deliver robust, high‑performance APIs; participate in architecture decisions; drive code quality through reviews and unit tests; collaborate with cross‑functional squads; own production incident handling; contribute to process and tooling enhancements. **Key Responsibilities:** - Design, implement, test, and deploy Java/Spring Boot services with RESTful APIs. - Apply Agile Scrum methodology, estimate sprint tasks, and track progress. - Conduct threat modeling, secure development lifecycle practices, and code reviews. - Write unit tests (JUnit) and integration tests. - Maintain CI/CD pipelines and automated deployments (AWS/SaaS). - Support production issues, perform root‑cause analysis, and propose mitigations. - Mentor junior engineers and share best practices. - Identify opportunities for innovation, performance tuning, and bottleneck removal. **Required Skills:** - 5+ years Java backend development, 3+ years JUnit testing. - Proficiency with Spring Boot, Spring MVC, Hibernate/JPA. - REST API design, versioning, and documentation. - Relational database & SQL knowledge. - Agile/Scrum experience, story estimation, sprint planning. - Secure coding, threat modeling, web application security. - CI/CD, automation, and containerisation (Docker). - AWS services (compute, storage, deployment) and SaaS deployment. - Strong problem‑solving, independent work, and teamwork. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related discipline. - (Optional) Master’s degree in Engineering. ---

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