Ai Risk Jobs in Oregon (NOW HIRING)

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 implement cloud security controls that reduce risk and improve prevention, detection, and response capabilities
• Contribute to securing multi-cloud and hybrid environments across AWS, Azure, GCP, and on-premise infrastructure
• Implement security controls for AI/ML workloads, including protecting data pipelines, model services, and AI-integrated applications
• Identify and help mitigate AI-specific risks such as prompt injection, data poisoning, and model/data leakage
• Apply DevSecOps and Infrastructure-as-Code (IaC) practices to integrate security into CI/CD pipelines
• Partner with product and platform teams to implement secure architecture patterns and cloud security standards
• Utilize CNAPP platforms and 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
• Support monitoring, detection, and response capabilities, including integration with cloud-native telemetry and security tooling
• Participate in threat modeling and risk assessments (Attack Surface Management, Data Security Posture Management, etc.) for cloud-native and AI-enabled systems
• Develop and maintain automation solutions to improve security coverage and operational efficiency
• Deploy and manage infrastructure using Infrastructure-as-Code (IaC) tools and best practices
• Contribute to security initiatives and projects, helping deliver measurable improvements to the organization's security posture
• Support security 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 securing cloud and hybrid environments (AWS, Azure, GCP, On-Premise)
• Proficiency in one or more programming or scripting languages, with experience interacting with cloud APIs and automation workflows
• Strong understanding of cloud security fundamentals, including IAM, network security, encryption, and secure architecture design
• Experience implementing DevSecOps practices and securing Infrastructure-as-Code (IaC) workflows
• Experience deploying and securing container technologies (Kubernetes, Docker, EKS, GKE, AKS)

• Understanding of security risks in AI/ML systems, including prompt injection, data poisoning, and model/data leakage
• Familiarity with data security principles in AI training and inference pipelines
• Experience implementing basic security controls, logging, and monitoring for AI-enabled services
• Awareness of AI security frameworks such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework

• Experience using CNAPP platforms to identify and remediate cloud security risks
• Familiarity with IaC scanning, cloud security posture management, and runtime detection tools
• Understanding of security prevention, detection, and response concepts

• Experience building and securing scalable cloud architectures across application, network, and data layers
• Familiarity with serverless 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 in multi-OS and distributed environments