Staff Cloud Security Engineer

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 a highly experienced Cloud Security Engineer (Staff) to define and drive security architecture, strategy, and engineering practices across multi-cloud and hybrid environments. This role will serve as a technical leader responsible for securing cloud-native and AI-driven systems at scale while influencing security outcomes across multiple teams and departments.

• Define and drivecloud security strategy, architecture standards, and technical roadmapsacross cloud and AI-enabled environments
• Lead the design and implementation ofpreventative security controls, leveraging automation and AI-driven capabilities to reduce risk and improve detection and response
• Architect and securecomplex multi-cloud and hybrid environmentsacross AWS, Azure, GCP, and on-premise infrastructure
• Define and implement security architecture forAI/ML workloads, including model pipelines, data protection, and AI-integrated applications
• Identify and establish controls to mitigate AI-specific risks such asprompt injection, data poisoning, model leakage, and adversarial inputs
• Influence security and engineering practices acrossmultiple teams and departments, driving adoption of secure-by-design principles
• Own thesecurity outcomesof key cloud and AI initiatives, ensuring successful delivery and measurable risk reduction
• Establish and evolveDevSecOps and Infrastructure-as-Code (IaC)security standards, integrating security controls into CI/CD pipelines at scale
• Drive adoption and optimization ofCNAPP platformsand related tooling to improve risk visibility and remediation across cloud, container, and AI environments
• Define and implement security architecture for containerized platforms (Kubernetes/EKS/GKE/AKS), including cluster hardening, workload isolation, image supply chain security, and runtime protection controls
• Lead the evolution ofdetection and response capabilities, integrating cloud telemetry, Cloud EDR, and advanced security analytics
• Conduct and guidethreat modeling and risk assessments(Attack Surface Management, Data Security Posture Management, etc.) for complex cloud-native and AI-enabled systems
• Architect and deliverautomation frameworks and security servicesto improve scalability and operational efficiency
• Provide technical leadership and mentorship to engineers, influencingdepartment-level goals and technical direction

• Bachelor's or Master's degree in Computer Science, Information Security, or related field (or equivalent experience); typically12+ years of relevant experience
• Proven experience defining and securinglarge-scale cloud and hybrid architectures(AWS, Azure, GCP, On-Premise)
• Deep expertise incloud security architecture, including IAM, network segmentation, encryption, and secure design patterns
• Strong programming and automation experience, with the ability to design and scalesecurity engineering solutions
• Extensive experience implementingDevSecOps practicesand securing Infrastructure-as-Code (IaC) workflows
• Expertise working withcontainer technologies(Kubernetes, Docker, EKS, GKE, AKS)

• Deep understanding of security risks in AI/ML systems, includingprompt injection, data poisoning, model leakage, and adversarial inputs
• Experience defining and securingAI/ML architectures, including training pipelines, inference systems, and AI-integrated applications
• Strong knowledge ofdata security and privacy controlsin AI systems
• Familiarity with frameworks such asOWASP Top 10 for LLMsandNIST AI Risk Management Framework
• Experience securing advanced AI patterns such asLLM integrations, APIs, MCPs, RAG pipelines, or model services(preferred)

• Experience leading implementation and adoption ofCNAPP platforms
• Deep understanding ofcloud detection and response, IaC scanning, and runtime protection
• Strong background insecurity prevention, detection, and response strategy

• Experience designinghighly scalable, resilient, and secure architecturesacross application, network, and data layers
• Experience influencing technical direction acrossmultiple teams or departments
• Relevant certifications (e.g.,ISC2, GIAC, AWS, Azure, GCP) preferred
• Experience working acrossmulti-OS and distributed environments