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We are looking for an inspirational and hardworking person to join the Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. As a member of the Cloud Security team you will assist in the planning, design, development, testing, and management of security tools and controls that provide protection and visibility of our cloud environments.

Provide cloud security capabilities that are proactive, preventive-focused models that address modern threats, including those driven by AI-enabled attack techniques. Expanding into next-generation security domains such as AI/ML security, container security, and advanced threat detection and response.

We are seeking an experienced Cloud Security Engineer to help design, implement, and scale security controls across multi-cloud and hybrid environments. This role will focus on securing cloud-native and AI-driven systems through strong engineering practices, automation, and collaboration with platform and product teams.

• Design and implementcloud security controlsthat reduce risk and improve prevention, detection, and response capabilities
• Contribute to securingmulti-cloud and hybrid environmentsacross AWS, Azure, GCP, and on-premise infrastructure
• Implement security controls forAI/ML workloads, including protecting data pipelines, model services, and AI-integrated applications
• Identify and help mitigate AI-specific risks such asprompt injection, data poisoning, and model/data leakage
• ApplyDevSecOps and Infrastructure-as-Code (IaC)practices to integrate security into CI/CD pipelines
• Partner with product and platform teams toimplement secure architecture patterns and cloud security standards
• UtilizeCNAPP platformsand related tools to identify and remediate risks across cloud, container, and AI environments
• Implement and maintain security controls for containerized environments, including Kubernetes cluster configuration, image scanning, and runtime protection
• Supportmonitoring, detection, and response capabilities, including integration with cloud-native telemetry and security tooling
• Participate inthreat modeling and risk assessments(Attack Surface Management, Data Security Posture Management, etc.) for cloud-native and AI-enabled systems
• Develop and maintainautomation solutionsto improve security coverage and operational efficiency
• Deploy and manage infrastructure usingInfrastructure-as-Code (IaC)tools and best practices
• Contribute tosecurity initiatives and projects, helping deliver measurable improvements to the organization's security posture
• Supportsecurity operations and internal service requests, contributing to continuous process improvement

• Bachelor's degree or equivalent in Computer Science, Information Security, or related field.
• Experience designing and securingcloud and hybrid environments(AWS, Azure, GCP, On-Premise)
• Proficiency in one or more programming or scripting languages, with experience interacting withcloud APIs and automation workflows
• Strong understanding ofcloud security fundamentals, including IAM, network security, encryption, and secure architecture design
• Experience implementingDevSecOps practicesand securing Infrastructure-as-Code (IaC) workflows
• Experience deploying and securingcontainer technologies(Kubernetes, Docker, EKS, GKE, AKS)

• Understanding of security risks in AI/ML systems, includingprompt injection, data poisoning, and model/data leakage
• Familiarity withdata security principlesin AI training and inference pipelines
• Experience implementingbasic security controls, logging, and monitoringfor AI-enabled services
• Awareness of AI security frameworks such asOWASP Top 10 for LLMsandNIST AI Risk Management Framework

• Experience usingCNAPP platformsto identify and remediate cloud security risks
• Familiarity withIaC scanning, cloud security posture management, and runtime detection tools
• Understanding ofsecurity prevention, detection, and response concepts

• Experience building and securingscalable cloud architecturesacross application, network, and data layers
• Familiarity withserverless and event-driven architectures(e.g., AWS Lambda, GCP Cloud Functions, Azure Automation)
• Relevant certifications (e.g.,AWS, Azure, GCP, Security+) are a plus
• Experience working inmulti-OS and distributed environments