Cyber Security Engineer

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a senior cybersecurity leader to guide security across cloud environments, IAM, PAM and DLP. The ideal candidate bridges technical and business needs, evaluating risks and shaping the organization’s security program.

You will collaborate with infrastructure and development teams to embed security into enterprise platforms, oversee governance for AI-enabled systems, and drive incident response planning and audits.

Qualifications

• Bachelor's degree in Cybersecurity or related field.
• 5+ years in cybersecurity or enterprise information security.
• Experience in Microsoft Azure or AWS.
• Hands-on IAM, SSO, and conditional access expertise.

Responsibilities

• Assess cloud security and identify vulnerabilities.
• Lead IAM initiatives including SSO and identity governance.
• Develop DLP policies and security controls.
• Design PAM solutions and just-in-time access.
• Set AI security policies and governance standards.
• Collaborate with IT to embed security in systems.
• Support incident response planning and audits.

Skills

Cybersecurity

Cloud security

IAM

PAM

DLP

Education

Bachelor's degree

Tools

Azure

AWS

SSO

Job description

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

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description: The ideal candidate will bring a strong background in enterprise cybersecurity, particularly within cloud security, Identity and Access Management (IAM), Privileged Access Management (PAM), and Data Loss Prevention (DLP). This is an excellent opportunity for someone who enjoys working across technical teams, evaluating security risks, implementing solutions, and helping shape the organization's evolving cybersecurity strategy.

Key Responsibilities:

• Evaluate enterprise cloud infrastructure, identify potential security vulnerabilities, and communicate risks and recommended solutions to technical and business stakeholders.
• Lead and support Identity and Access Management (IAM) initiatives involving authentication, authorization, single sign-on, privileged access, conditional access, and identity governance.
• Develop, implement, and maintain Data Loss Prevention (DLP) policies and security controls to protect confidential information 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.
• Develop 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, partnering with development teams to establish remediation strategies and track corrective actions.
• Conduct 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.
• Participate in incident response planning, tabletop exercises, and security simulations.
• Assist with compliance initiatives, internal audits, and risk assessments while maintaining security documentation, procedures, and technical standards.

Required Qualifications:

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Information Systems, or a related discipline.
• 5+ years of experience in cybersecurity, cloud security, identity management, or enterprise information security.
• Demonstrated experience implementing and supporting security solutions within Microsoft Azure, AWS, or comparable enterprise cloud environments.
• Hands-on experience with IAM technologies, including authentication, authorization, SSO, federation, identity governance, and conditional access.
• Experience supporting PAM platforms and capabilities, including 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.