Cloud DevOps and AI Security Engineer

Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier.' As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. We are seeking a motivated Cloud DevOps and AI Security Engineer to help support, secure, and scale our emerging AI infrastructure and development pipeline. This role is designed for a recent graduate, a master’s graduate, or an early-career professional with hands-on experience gained through coursework, internships, projects, or related work. In this role, you will work with developers and operations leads to implement secure cloud practices, maintain automated deployment pipelines, monitor security posture, document controls, and support the responsible use of AI-assisted engineering tools. This is an opportunity to build practical experience with Infrastructure as Code (IaC), continuous integration, DevSecOps practices, production web operations, cloud security, and secure AI-enabled development workflows. Responsibilities AI Infrastructure and Pipeline Security: As we move to adopt a more AI / Agentic workflow you will help secure emerging AI infrastructure and AI-enabled development by supporting security checks, documenting controls, validating tool configurations, and escalating potential risks under guidance from senior team members. Security Monitoring: Review logs, alerts, system activity, and pipeline outputs to help identify, document, and escalate potential vulnerabilities or unusual behavior. Cloud Infrastructure Support: Assist in provisioning, configuring, and maintaining core AWS services such as VPC, EC2, S3, IAM, Lambda, Docker, and Kubernetes. Infrastructure as Code: L