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 Play Station the best and most secure gaming platform.

Role

Description:

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 drive cloud security strategy, architecture standards, and technical roadmaps across cloud and AI-enabled environments
• Lead the design and implementation of preventative security controls
  , leveraging automation and AI-driven capabilities to reduce risk and improve detection and response
• Architect and secure complex multi-cloud and hybrid environments across AWS, Azure, GCP, and on-premise infrastructure
• Define and implement security architecture for AI/ML workloads
  , including model pipelines, data protection, and AI-integrated applications
• Identify and establish controls to mitigate AI-specific risks such as prompt injection, data poisoning, model leakage, and adversarial inputs
• Influence security and engineering practices across multiple teams and departments
  , driving adoption of secure-by-design principles
• Own the security outcomes of key cloud and AI initiatives, ensuring successful delivery and measurable risk reduction
• Establish and evolve Dev Sec Ops  and Infrastructure-as-Code (IaC) security standards, integrating security controls into CI/CD pipelines at scale
• Drive adoption and optimization of CNAPP platforms and 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 of detection and response capabilities
  , integrating cloud telemetry, Cloud EDR, and advanced security analytics
• Conduct and guide threat modeling and risk assessments (Attack Surface Management, Data Security Posture Management, etc.) for complex cloud-native and AI-enabled systems
• Architect and deliver automation frameworks and security services to improve scalability and operational efficiency
• Provide technical leadership and mentorship to engineers, influencing department-level goals and technical direction

• Bachelor’s degree or equivalent in Computer Science, Information Security, or related field
• Proven experience defining and securing large-scale cloud and hybrid architectures (AWS, Azure, GCP, On-Premise)
• Deep expertise in cloud security architecture
  , including IAM, network segmentation, encryption, and secure design patterns
• Strong programming and automation experience, with the ability to design and scale security engineering solutions
• Extensive experience implementing Dev Sec Ops  practices and securing Infrastructure-as-Code (IaC) workflows
• Expertise working with container technologies (Kubernetes, Docker, EKS, GKE, AKS)

• Deep understanding of security risks in AI/ML systems, including prompt injection, data poisoning, model leakage, and adversarial inputs
• Experience defining and securing AI/ML architectures
  , including training pipelines, inference systems, and AI-integrated applications
• Strong knowledge of data security and privacy controls in AI systems
• Familiarity with frameworks such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework
• Experience securing advanced AI patterns such as LLM integrations, APIs, MCPs, RAG pipelines, or model services (prefer…