Cloud Security Engineer: Guardrails, Migrations & Posture

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

Job summary

Machine Learning Technologies, LLC in the United States is seeking a Cloud Security Engineer to own security across cloud workloads and SaaS migrations. You will design and implement guardrails, improve cloud-security posture, and partner with cloud-platform teams.

You will evaluate workloads, identities, configurations, and services for risk; lead remediation with engineering and security teams; help define standards and procedures; and support a low-volume on-call rotation.

Qualifications

• 5+ years of experience in cloud engineering or cloud security.
• Hands-on experience implementing cloud-security controls and guardrails.
• Experience securing Azure, AWS, or Google Cloud environments.
• Ability to explain configurations and remediations clearly.

Responsibilities

• Design, implement, and maintain security controls and guardrails for cloud environments.
• Take hands-on ownership of cloud-security posture and control implementation.
• Evaluate cloud workloads, applications, identities, configurations, and services for security risk.
• Support secure application, workload, and SaaS migrations.
• Establish security requirements throughout the migration lifecycle, from design through production.
• Use cloud-security posture management and cloud-native application protection tooling to identify and prioritize risks.
• Work with platform and application teams to remediate cloud-security findings.
• Partner with a principal engineer on cloud-security architecture and implementation.
• Collaborate with vulnerability-management, infrastructure, identity, application, and development teams.
• Help define cloud-security standards, patterns, controls, and operating procedures.
• Validate that implemented controls are working as intended.
• Provide technical guidance on cloud misconfigurations, excessive permissions, exposed services, insecure workloads, and related risks.
• Support a low-volume on-call rotation.

Skills

Cloud security

Guardrails

Multi-cloud

IAM & access control

Vulnerability management

Security design

Cross-functional collaboration

Tools

Azure

AWS

GCP

Job description

Machine Learning Technologies, LLC in the United States is seeking a Cloud Security Engineer to own security across cloud workloads and SaaS migrations. You will design and implement guardrails, improve cloud-security posture, and partner with cloud-platform teams.

You will evaluate workloads, identities, configurations, and services for risk; lead remediation with engineering and security teams; help define standards and procedures; and support a low-volume on-call rotation.