Consultant, Info Security, App, Data, Cloud Security

Job Purpose and Impact

• The Cloud Security Engineer will contribute to strengthening the security foundation for Cargills modern cloud-based applications and this role you will apply cybersecurity and cloud security engineering expertise to secure operate and scale Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) environments across AWS and Azure.

  You will contribute to security design adopt automation-first approaches and help ensure security is embedded by design into cloud platforms and engineering workflows. You will also leverage AI-assisted engineering practices to improve cloud security operations engineering productivity and delivery efficiency.

Key Accountabilities

• Design implement and maintain the security and resiliency of enterprise-grade cloud services in support of Cargills mission.
• Implement and operate cloud security solutions across AWS and Azure.
• Develop and automate security policies controls and workflows using Infrastructure as Code scripting cloud-native security services and AI-assisted engineering capabilities.
• Partner with Enterprise IT Cloud platforms DevSecOps Software Engineering and Compliance teams to embed security into cloud architectures CI/CD pipelines and migration workflows.
• Support cloud security incident investigations remediation activities and continuous security improvements.
• Contribute to cloud security engineering standards reusable automation documentation and operational best practices.
• Continuously identify opportunities to improve cloud security engineering and operations through automation and AI-driven capabilities.

Required Qualifications

• • Bachelors degree in a related field or equivalent practical experience.
  • 48 years of experience in cloud engineering and cloud security roles.
  • Strong hands-on experience securing AWS and/or Azure cloud environments.
  • Experience with cloud security services and platforms including Cloud IAM Wiz or equivalent CSPM tools.
  • Strong understanding of AWS networking and security constructs including security groups network firewalls and segmentation.
  • Experience designing and securing container platforms (Kubernetes EKS ECS Docker etc.).
  • Strong skills in Infrastructure as Code and automation using Terraform and scripting languages such as Python Golang or PowerShell.
  • Good understanding of DevOps and CI/CD practices application resiliency and security-by-design principles.
  • Ability to analyze cloud security data metrics and logs to drive risk reduction and operational improvements.
  • Demonstrated ability to collaborate effectively across engineering teams and contribute to technical solutions.

  Preferred Qualifications

  • Cloud certifications in AWS Azure and/or Google Cloud (Associate Professional or Specialty).
  • Cybersecurity certifications such as CISSP CCSP GSEC CEH or equivalent.
  • Experience supporting cloud migrations or enterprise cloud platforms.
  • Experience using AI-assisted engineering tools (e.g. GitHub Copilot Amazon Q ChatGPT Enterprise Claude Cursor etc.) to improve engineering productivity automation and software development.
  • Good understanding of AI security concepts including AI governance AI workload security prompt injection data protection and secure AI adoption in enterprise environments.
  • Demonstrated ability to contribute technical solutions and collaborate across teams without direct authority.

  What Success Looks Like

  • Cloud security controls are consistent automated and scalable across environments.
  • Security risks are addressed early through design automation and AI-assisted engineering practices rather than reactive fixes.
  • Cloud security platforms (e.g. Wiz) provide clear prioritized and actionable insights.
  • Engineering teams move faster with confidence due to strong security foundations and reusable automation.
  • AI capabilities are effectively leveraged to improve cloud security engineering operational efficiency and security outcomes.