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 MLOps Engineer
Job Description: **Job Title** Senior MLOps Engineer **Role Summary** Build and operate end‑to‑end machine learning production infrastructure, enabling scientists and engineers to deploy and scale models across multi‑tenant workloads on Kubernetes/EKS. Provide platform abstractions, observability, and developer experience so that ML research can be rapidly moved into production. **Expectations** - Lead the design, implementation, and maintenance of a cloud‑native MLOps platform. - Serve as the technical point of contact for data scientists and ML engineers, continuously improving user experience. **Key Responsibilities** - Run and evolve the ML compute layer on Kubernetes/EKS (CPU/GPU), ensuring portability across regions. - Operate Argo Workflows, Dask Gateway, and other scheduling tools for data preparation, training, evaluation, and batch compute. - Develop GitOps‑native delivery pipelines (GitLab CI, Helm, FluxCD) for ML jobs and platform components, supporting fast rollouts and safe rollbacks. - Design and maintain a lakehouse data platform (LakeFS, Apache Iceberg, Snowflake) for experiment reproducibility and data lineage tracking. - Create clear APIs/CLIs, templates, and documentation to enhance developer experience. - Implement observability with Prometheus/Grafana, logging (Loki/Promtail, Datadog, Sentry), and alerting. - Ensure compliance with networking, security, and Linux administration best practices. **Required Skills** - Production experience with AWS (EKS, S3, EC2, IAM, Lambda, RDS) and container orchestration. - Strong Python proficiency (FastAPI/Django, Pydantic, boto3). - Familiarity with CI/CD and GitOps tools (GitLab CI, Helm, FluxCD, Terraform). - Experience building and operating data pipelines with idempotency, retries, and reproducibility. - Knowledge of observability stacks: Prometheus, Grafana, Loki, Datadog, or similar. - Understanding of networking, security concepts, and Linux system administration. **Nice to Have** - Distributed compute frameworks (Dask, Spark, Ray). - Inference servers (NVIDIA Triton). - FinOps cost attribution and multi‑region deployment strategies. **Required Education & Certifications** - Bachelor’s degree or higher in Computer Science, Engineering, or related field. - Relevant certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) preferred.

Company Name: Entrust
Job Title: Data Security Services Compliance Manager
Job Description: **Job Title** Data Security Services Compliance Manager **Role Summary** Lead the compliance function for Data Security Services (DSS) products, ensuring that Public Key Infrastructure (PKI) and related solutions meet industry standards (e.g., WTCA, NIST, ISO, SOC 2) and customer contractual requirements. Act as the primary subject‑matter expert on compliance frameworks, coordinate external audits, and drive continuous improvement of compliance processes across multi‑region teams. **Expectations** - Sustain high‑grade compliance of DSS product portfolio, mitigating risks and enabling competitive advantage. - Operate independently in a fast‑paced, cross‑functional environment; prioritize multiple initiatives concurrently. - Maintain continuous, proactive engagement with external auditors, standards bodies, and internal stakeholders. **Key Responsibilities** - Validate PKI CA and other DSS products against WTCA, NIST, ISO, SOC 2, FedRAMP, and additional applicable frameworks. - Escalate and own compliance issues in production, collaborate with Policy Management Authority for issue resolution. - Lead external audit engagements: plan evidence collection, schedule resources, submit reports, monitor timelines. - Advise product & development teams on regulatory trends and emerging PKI use cases in finance, healthcare, government, etc. - Represent company in standards body discussions; advocate adoption of best practices internally. - Oversee end‑to‑end operational compliance program; review procedures, deliver metrics to compliance scorecards. - Serve as internal & customer‑facing SME; provide guidance on best practices, audit processes, and compliance risk mitigation. - Manage project documentation, maintain deadlines, and foster vendor/customer relationships. - Capture customer/partner feedback for product enhancement strategies. **Required Skills** - 5+ years of security compliance or audit experience with WTCA, NetSec, NIST, FedRAMP, ISO, SOC 2, or similar. - Strong governance, risk management, and compliance process expertise. - Proficiency in internal controls, risk assessments, operational auditing, and IT control testing. - Excellent written and verbal communication, analytical, and problem‑solving skills. - Ability to collaborate across time zones, prioritize tasks, and manage multiple projects. - Basic project management knowledge; familiarity with enterprise networking concepts is a plus. **Required Education & Certifications** - Associate or bachelor’s degree (preferred). - Security clearance or eligibility to obtain one (preferred). - Any relevant certification (e.g., CISSP, CISA, CISM) is an advantage but not mandatory.

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

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