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 Dev Ops and AI Security Engineer to help support, secure, and scale our emerging AI infrastructure and development pipeline. This role is intended for a recent graduate, master’s graduate, or early-career professional with hands-on experience from coursework, internships, projects, or related  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, Dev Sec Ops  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 elevate 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:
  Learn, update, and write basic Terraform, Serverless, or AWS Cloud Formation templates under guidance from senior team members.
• Access Management:
  Help manage user permissions and access controls using AWS IAM and least-privilege principles.
• Team
  
  Collaboration:
  
  Work with developers, QA, and operations team members to troubleshoot issues, document findings, and support safe releases for customer-facing web platforms.
• Deployment Support:
  Help maintain and improve automated CI/CD pipelines to support safe, reliable, and repeatable software delivery.
• Documentation:
  Create and maintain clear technical documentation for architecture diagrams, deployment processes, access controls, and security protocols.

Required Technical Skills

• Cloud Fundamentals:
  Foundational understanding of AWS services, cloud computing concepts, networking basics, IAM, security groups, and common web infrastructure patterns.
• Cloud Security Fundamentals:
  Basic familiarity with least privilege, access controls, encryption, secrets management, logging, and secure configuration practices.
• Security Monitoring and Triage:
  Ability to review logs, alerts, system activity, and pipeline outputs, document findings clearly, and elevate potential risks.
• Automation Exposure:
  Basic experience with scripting languages such as Python or Bash to automate repetitive operational or security-related tasks.
• Version Control:
  Familiarity with Git workflows, Bitbucket pipelines, pull requests, branching strategies, and change tracking.
• AI-Assisted Engineering:
  Awareness of how AI coding assistants and automation tools can be used responsibly, including protecting sensitive information, validating tool outputs, documenting AI-assisted changes, and following approved…