[Hiring] Cloud Security / AI Security Engineer @TMS LLC

Role Description

Seeking an experienced Security Engineer with 15+ years of experience in cloud security and identity management to secure enterprise AI applications on AWS. The role focuses on authentication, reusable IAM policy templates, Cedar-based authorization, and secure access to tools, APIs, and enterprise resources.

Key Responsibilities

• 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.
• 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.
• 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.
• 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.

Qualifications

• 15+ years of experience in cloud security and identity management.

Requirements

• 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.

Benefits

• Remote work with 10% travel required.
• Duration: 3+ Months (Extension Possible).

Company Description

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