Cyber Security Engineer

Robotics Technologies; Dallas (TX); On-site; USD 85,000 - 116,000; Full time

Job summary

To Be Discussed Later is seeking a Cyber Security Engineer in Dallas, TX for a contract role focused on securing enterprise cloud environments. Responsibilities include evaluating cloud infrastructure for vulnerabilities, leading IAM, implementing DLP and PAM controls, and establishing governance for AI-related technologies.

The position is onsite, lasts 8 months with extension potential, and pays hourly USD 73 with C2C options.

Qualifications

• Requires 5+ years in cybersecurity, cloud security, IAM, or enterprise information security.
• Hands-on IAM including authentication, authorization, SSO, federation, identity governance, and conditional access.
• Experience implementing DLP, information protection, and data governance policies.

Responsibilities

• Evaluate enterprise cloud infrastructure, identify security vulnerabilities, and communicate risks with remediation to stakeholders.
• Lead and support IAM initiatives including authentication, authorization, SSO, and privileged access governance.
• Develop and maintain DLP policies across cloud apps, endpoints, and collaboration tools.

Skills

IAM expertise

DLP policies

PAM solutions

Governance standards

Cloud security

Threat modeling

Incident response

Education

Bachelor's degree in Cybersecurity or related field

Tools

Microsoft Azure

AWS

Job description

This contract role in Dallas, TX is for a Cyber Security Engineer focused on securing enterprise cloud environments. The assignment runs for 8 months with an extension option and emphasizes cloud security, IAM, PAM, DLP, and governance for AI and agentic AI systems.

Location and Engagement

• Location: Dallas, TX (onsite)
• Duration: 8 Months + Extension
• Job ID: J54010
• Domain exposure: Manufacturing
• Client: To Be Discussed Later

Compensation and Employment Type

• Hourly rate: USD 73 per hour
• Bill rate: $73/hour (C2C)
• Employment type: W-2, 1099, C2C

Responsibilities

• Evaluate enterprise cloud infrastructure, identify potential security vulnerabilities, and communicate risks and recommended remediation to technical and business stakeholders.
• Lead and support Identity and Access Management (IAM) initiatives covering authentication, authorization, single sign-on, privileged access, conditional access, and identity governance.
• Develop, implement, and maintain Data Loss Prevention (DLP) policies and security controls for confidential data across cloud applications, endpoints, collaboration tools, and AI platforms.
• Design and support Privileged Access Management (PAM) solutions, including privileged account administration, credential protection, just-in-time access, session monitoring, and access governance.
• Create security policies and governance standards for AI-powered technologies and autonomous AI agents, including identity management, access permissions, monitoring, and lifecycle controls.
• Monitor and manage cloud application vulnerabilities and partner with development teams to establish remediation strategies and track corrective actions.
• Perform security assessments, threat modeling, and architecture reviews for cloud environments, applications, and emerging technologies.
• Collaborate with infrastructure, IT, and application development teams to incorporate security best practices into enterprise systems and technology initiatives.
• Support incident response planning through tabletop exercises and security simulations.
• Assist with compliance initiatives, internal audits, and risk assessments while maintaining security documentation, procedures, and technical standards.

Required Qualifications

• Education: Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Information Systems, or a related discipline.
• Experience: 5+ years in cybersecurity, cloud security, identity management, or enterprise information security.
• Proven experience implementing and supporting security solutions in Microsoft Azure, AWS, or comparable enterprise cloud environments.
• Hands-on IAM experience, including authentication, authorization, SSO, federation, identity governance, and conditional access.
• Experience supporting PAM platforms and capabilities such as privileged account management, credential vaulting, just-in-time access, and privileged session monitoring.
• Background implementing DLP, information protection, and data governance policies across cloud applications, endpoints, and collaboration environments.
• Understanding of security considerations for AI and agentic AI technologies, including identity management, access controls, governance, and activity monitoring.

Technologies

• Microsoft Azure
• AWS

Work Authorization

• US Citizen
• Green Card
• OPT-EAD
• CPT
• H-1B
• H4-EAD
• Other