Hiring: Cloud Security / AI Security Engineer | AWS IAM & Cedar Policies | Remote | 15+ Years

Key Responsibilities

1. IAM Policy Templates & Access Management

* Design, develop, and maintain reusable AWS IAM policy templates for AI agents and AgentCore infrastructure.
* Implement role-based access control (RBAC) and least-privilege security principles.
* Define IAM roles, trust policies, permission boundaries, and resource-based policies.
* Configure IAM execution roles for AgentCore Runtime and AgentCore Gateway.
* Develop standardized IAM templates for accessing AWS services such as Lambda, S3, Bedrock, API Gateway, Secrets Manager, and CloudWatch.
* Automate IAM policy deployment and configuration using Terraform, AWS CloudFormation, or AWS CDK.
* Conduct IAM access reviews, permission audits, and policy validation.
* Troubleshoot access-denied issues, role-assumption failures, and authorization misconfigurations.

2. Cedar Policies at AgentCore Gateway

* Design, author, test, and deploy Cedar authorization policies using Amazon Bedrock AgentCore Policy.
* Implement fine-grained authorization for AI agents accessing tools through AgentCore Gateway.
* Define policies specifying which identities can invoke particular tools, APIs, and operations.
* Configure policy engines and associate them with AgentCore Gateways.
* Implement attribute-based access control (ABAC) using identity attributes, roles, scopes, and contextual conditions.
* Develop policies that restrict sensitive tool operations based on business roles, permissions, and security requirements.
* Validate Cedar policies against gateway schemas and test permitted and denied access scenarios.
* Enforce default-deny authorization and prevent unauthorized tool execution.
* Monitor and troubleshoot authorization decisions and policy evaluation failures.

3. Security Governance & Compliance

* Implement security controls for enterprise AI agents and Generative AI applications.
* Develop security standards for agent identities, API integrations, and access management.
* Support audit logging, access traceability, and security monitoring using AWS CloudTrail and CloudWatch.
* Identify and mitigate risks including excessive privileges, credential exposure, unauthorized tool access, and privilege escalation.
* Conduct security reviews of agent architecture and integrations.
* Collaborate with AI engineering and DevOps teams to ensure secure production deployments.

4. Security Automation & DevSecOps

* Automate security policy deployment through GitHub Actions and infrastructure-as-code pipelines.
* Integrate IAM and Cedar policy validation into CI/CD workflows.
* Implement automated security checks and policy compliance testing.
* Maintain version-controlled security configurations across development, testing, and production environments.
* Support security incident investigation, access troubleshooting, and remediation.

Required Technical Skills

* AWS Security: IAM, IAM roles, policies, STS, AWS Secrets Manager, CloudTrail, CloudWatch.
* Authorization: Cedar policy language, RBAC, ABAC, fine-grained access control.
* Authentication: OAuth 2.0, OIDC, JWT, AWS IAM authentication.
* Infrastructure as Code: Terraform, AWS CDK, or CloudFormation.
* Automation: Python, GitHub Actions, CI/CD security integration.
* Cloud Security: Least-privilege access, identity federation, credential management, and secure API integrations.

Additional Information
All your information will be kept confidential according to EEO guidelines.