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

Role overview

Qualifications

  • 15+ years of experience in cloud security and identity management
  • Experience with IAM Policy Templates and Cedar Policies
  • Proficiency in AWS services and security
  • Knowledge of security automation and DevSecOps practices

Responsibilities

  • Design, develop, and maintain reusable AWS IAM policy templates
  • Implement role-based access control and least-privilege security principles
  • Develop Cedar authorization policies and implement fine-grained authorization
  • Automate security policy deployment and integrate into CI/CD workflows

Key facts

Hard skills

Other skills

  • Collaboration

About the company

TMS logo

TMS

  • IT Services & Consulting
  • 51–200
"TMS, LLC., otherwise known as Technology Management Solutions, is a renowned IT company that excels in digital product engineering and development. We possess a distinct specialization in next-generation technologies like Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and Smart Devices and Products. At TMS, we deliver excellence wrapped in innovation, providing exceptional solutions to our clientele. Our business model incorporates both onsite and offshore development and support to furnish comprehensive, tailored services that address our clients' multifaceted needs. We work with clients from conception to commercialization, covering all stages of the software product life cycle. Our organizational philosophy can be distilled into three essential tenets: Qualification, Reliability, and Viability. This reflects our commitment to stay highly qualified in our field, deliver dependable services, and provide viable solutions that directly contribute to our clients' triumphs. Located in New Jersey, we operate across various sectors, including Financial Services, Retail, Medical, Entertainment, Manufacturing, and Automotive. With our extensive industry knowledge and global footprint, we are positioned to offer top-tier, transformative solutions. Engage TMS as your trusted digital product engineering partner and embark on a journey of innovation and success. Reach out to us today to understand how we can bring your ideas into reality, enhancing your business growth and customer satisfaction."

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Job description

Job Description

Role: Cloud Security Engineer / AI Security Engineer

Location: Los Angeles, CA (Remote – 10% Travel; must be comfortable traveling to client sites for workshops and meetings)

Duration: 3+ Months (Extension Possible)

💼 Experience: 15+ Years


Primary Skills: IAM Policy Templates, Cedar Policies

Role Overview:

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

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.

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