Senior Cloud Security Engineer - C2H

Liberty Personnel Services, Inc.
Wilmington, DE, United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$145,600 - $208,000
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services JIRA Microsoft Azure Cloud Computing Cloud Computing Security Cyber Security Continuous Integration DevOps Identity and Access Management Intrusion Detection and Prevention JSON
+25 more
Python (Programming Language) Network Security Open Web Application Security Windows PowerShell Security Software Security Information and Event Management Systems Integration Software Vulnerability Management Workflow Management Systems YAML Cloud Platform System Mitre Att&ck Cloudformation AI Platforms Kubernetes Infrastructure Automation Frameworks Information Technology Bicep Restful APIs Terraform Prisma Cloud Platform Devsecops Serverless Computing Security Orchestration, Automation & Response Servicenow

Job description

Our client is seeking a hands-on Cloud Security & Automation Engineer to strengthen cloud security through automation, engineering, and continuous exposure management. This role will focus on developing automated security workflows, managing cloud security platforms, identifying and prioritizing risks, and implementing scalable security controls across Azure, AWS, and hybrid environments.

The ideal candidate has strong scripting and automation skills and enjoys building solutions that streamline security operations, reduce manual work, and improve overall security posture., * Design, develop, and maintain security automation using Python, PowerShell, REST APIs, and workflow orchestration.

  • Automate cloud security processes, including asset onboarding, policy deployment, risk identification, ticket routing, remediation, reporting, and evidence collection.
  • Administer and optimize cloud security platforms such as Wiz or Prisma Cloud.
  • Identify, analyze, and prioritize cloud security risks, vulnerabilities, exposures, and attack paths.
  • Develop automated remediation workflows and integrate security controls into CI/CD pipelines.
  • Implement Infrastructure as Code and policy-as-code solutions using Terraform, Bicep, ARM, or similar technologies.
  • Establish cloud security standards, guardrails, and controls across Azure, AWS, containers, Kubernetes, and cloud-native environments.
  • Partner with Cloud, DevOps, Vulnerability Management, IAM, and AI Security teams to improve security processes and automate operations.
  • Develop dashboards and metrics to measure security risks, remediation progress, automation effectiveness, and control adoption.
  • Support cloud security investigations, incident response, and technical escalations.
  • Provide technical leadership, documentation, and mentoring to other engineers.
  • Leverage AI-assisted tools to improve engineering productivity and security automation.

Requirements

  • Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or a related field.
  • 5+ years of experience in Cloud Security Engineering, Security Engineering, DevSecOps, or Cloud Platform Engineering.
  • Hands-on experience with Microsoft Azure and/or AWS.
  • Experience with cloud security platforms such as Wiz, Prisma Cloud, CNAPP, or CSPM solutions.
  • Strong scripting and automation experience using Python and/or PowerShell.
  • Experience with REST APIs, JSON/YAML, workflow automation, and CI/CD pipelines.
  • Knowledge of Infrastructure as Code tools such as Terraform, Bicep, ARM, or CloudFormation.
  • Strong understanding of cloud security, IAM, identity management, network security, vulnerability management, and threat detection.
  • Experience automating security processes and integrating security tools with platforms such as ServiceNow, Jira, Azure DevOps, or SIEM/SOAR solutions.
  • Ability to identify security risks, develop technical solutions, and collaborate across engineering teams.
  • Comfortable incorporating AI-assisted tools into daily engineering workflows.

Preferred Qualifications

  • Experience with Continuous Threat Exposure Management (CTEM) and cloud exposure management.
  • Knowledge of Kubernetes, containers, serverless technologies, and cloud-native security.
  • Familiarity with AI/ML security, AI platforms, and emerging cloud security risks.
  • Knowledge of security frameworks such as NIST, CIS, MITRE ATT&CK, and OWASP.
  • Relevant certifications such as CISSP, CCSP, AWS Security Specialty, or Microsoft Azure Security Engineer.

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