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Роль четко определена с ясным акцентом на безопасность и современный стек технологий, но компания является аутсорсинговой, что может подразумевать менее благоприятный баланс между работой и личной жизнью.
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Аутсорсинговая компанияСовременный стек технологийЧеткое определение ролиГибкая среда
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Security Engineer with Cedar Policy (Cedar/Policy-Based Authorization): Building a centralized authorization framework for enterprise AI services and cloud applications with an accent on policy enforcement, identity integration, auditability, and governance. Focus on authoring and validating Cedar policies, integrating identity providers, implementing ABAC/RBAC and parameter-level access controls, and developing Python automation for secure authorization decisions.
Develop, maintain, test, and validate Cedar authorization policies for enterprise applications and AI services.
Implement ABAC and RBAC access-control models, including parameter-level controls for secure tool and service interactions.
Configure identity-provider integrations with Microsoft Entra ID, Okta, and Amazon Cognito, mapping claims and token attributes to authorization decisions.
Support AWS AgentCore Policy in LOG_ONLY and ENFORCE modes and develop Python tooling for policy validation, testing, and automation.
Collaborate with security, platform, backend, architecture, and governance specialists on authorization requirements and policy controls.
Contribute to audit logging, authorization decision traceability, security reviews, and governance standards.
Requirements
3+ years of experience in security engineering, backend engineering, or a related field.
Hands-on experience integrating enterprise identity providers, including Microsoft Entra ID, Okta, or Amazon Cognito.
Experience defining and managing policies within an ABAC or RBAC authorization framework.
Hands-on experience with Open Policy Agent, Cedar, or similar policy-based authorization technologies.
Knowledge of OAuth 2.0, JWT, OpenID Connect, and modern identity architectures.
Experience with claims mapping and token-based authorization models.
Understanding of secure authorization design principles and policy lifecycle management.
Experience with Python development for automation, validation, or backend services.
Strong analytical and problem-solving skills, plus good written and verbal communication skills.
Nice to have
Experience with LangGraph tool invocation patterns.
Experience integrating with AWS AgentCore Gateway.
Knowledge of enterprise AI platform architecture and governance principles.
Familiarity with cloud-native security services and authorization platforms.
Exposure to audit logging and compliance reporting requirements.
Culture & Benefits
Work in a medium-sized team of 10–20 people.
Collaborate with security engineers, backend developers, platform engineers, architects, and governance specialists.
Use a collaborative development approach focused on policy as code, automation, secure design practices, and continuous improvement.
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