Cloud Platform Security Engineer (Data & AI Platforms)

Cloud Platform Security Engineer (Data & AI Platforms)

About the Role

We are looking for a Cloud Platform Security Engineer to help design, build, and govern secure cloud foundations that enable Data, Analytics, and AI teams to scale safely across the organization

.This role is not focused on traditional Data Governance. Instead, it focuses on Cloud Security Governance for Data and Machine Learning platforms, ensuring that cloud resources are secure by design, compliant with enterprise security standards, and ready for automated security validation through Cloud Security Posture Management (CSPM) tools such as Prisma Cloud

.The successful candidate will create reusable Infrastructure as Code (IaC) assets, Terraform modules, and secure cloud blueprints that become the standard foundation for Data Engineering, Analytics, and MLOps teams

.Key Responsibilitie

• sDesign and develop reusable Terraform modules and infrastructure templates for enterprise-wide adoption
• .Establish secure-by-design cloud patterns for Data and AI platforms
• .Define and implement security controls across cloud-native services, including storage, compute, networking, identity, and machine learning environments
• .Ensure cloud resources meet organizational security standards and can be successfully validated by CSPM platforms such as Prisma Cloud
• .Design IAM policies, encryption standards, network segmentation, and access controls for cloud environments
• .Partner with Data Engineering, Analytics, MLOps, and Security teams to enable secure self-service platform capabilities
• .Embed security controls early in the infrastructure lifecycle through Shift-Left security practices
• .Create and maintain cloud governance standards, policies, and technical documentation
• .Support platform-level security architecture for data lakes, analytics platforms, and machine learning environments

.Required Qualification

• s+5 years of experience in Cloud Engineering, Cloud Security, Platform Engineering, or related roles
• .Advanced hands-on experience with Terraform and Infrastructure as Code in enterprise environments
• .Proven experience creating reusable Terraform modules, frameworks, and platform templates
• .Strong knowledge of AWS cloud architecture and security best practices

.Deep understanding of

• :IAM and access managemen
• tEncryption and key management (KMS
• )Network security and segmentatio
• nSecurity policies and compliance control
• sExperience with Cloud Security Posture Management (CSPM) tools, preferably Prisma Cloud
• .Experience implementing Security-by-Design and Shift-Left security practices
• .Experience enabling infrastructure for Data Platforms, Analytics Platforms, or Machine Learning ecosystems

.Preferred Qualification

• sExperience with DevSecOps practices and security automation
• .Experience supporting MLOps environments and AI platforms
• .Knowledge of Data Engineering ecosystems and cloud-native data architectures
• .Experience with Policy as Code frameworks
• .Familiarity with Databricks, SageMaker, ECS, EKS, Lambda, and modern cloud-native services

.What Success Looks Lik

• eEnterprise-grade Terraform modules adopted across multiple teams
• .Secure cloud foundations that accelerate Data and AI delivery
• .Consistent compliance with cloud security standards
• .Reduced security findings through proactive governance and secure platform design
• .Scalable self-service infrastructure for Data Engineering and MLOps teams