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Cloud DevOps and AI Security Engineer
Renesas Electronics
San Jose, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
AWSPython
Key Skills for This Role
AWSPython
Full Job Posting
Technical Skills
- Cloud Engineering: Hands-on experience with AWS services, cloud computing concepts, networking, IAM, security groups, and common highly available web infrastructure patterns.
- Cloud Security: Applied knowledge of least privilege, identity and access controls, encryption, secrets management, logging, vulnerability management, and secure configuration practices.
- Security Monitoring and Incident Triage: Experience analyzing logs, alerts, system activity, and pipeline outputs; investigating and prioritizing risks; documenting findings; and driving issues through remediation or escalation.
- Automation: Proficiency with Python, Bash, or a comparable scripting language to automate operational and security tasks, integrate systems, and reduce manual effort.
- Version Control and Delivery Workflows: Practical experience with Git workflows, Bitbucket pipelines, pull requests, branching strategies, code review, and controlled change management.
- AI-Assisted Engineering: Experience using or governing AI coding assistants and automation tools responsibly, including protecting sensitive information, validating outputs, documenting AI-assisted changes, and applying approved safe-use practices.
Preferred Qualifications
- 3+ years of professional experience in cloud operations, DevOps, DevSecOps, cybersecurity, systems engineering, software engineering, or web operations, including hands-on responsibility for production systems.
- Role-relevant certifications such as AWS Certified Solutions Architect – Associate, AWS Certified Security – Specialty, CompTIA Security+, or equivalent are valued but not required.
- Demonstrated professional work involving cloud security, DevSecOps, secure software development, application security, AI infrastructure, or governance of AI-assisted engineering tools is highly desirable.
- The expected annual pay range for this position is $92,000- $115,000. This position is also eligible for bonus opportunities. Please note that final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate.
- Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‐leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
- At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.
- We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
- Are you ready to join our team and shape the future with us?
- Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
- Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
Qualifications
- Degree in Computer Science, Cybersecurity, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
- Cloud Engineering: Hands-on experience with AWS services, cloud computing concepts, networking, IAM, security groups, and common highly available web infrastructure patterns.
- Cloud Security: Applied knowledge of least privilege, identity and access controls, encryption, secrets management, logging, vulnerability management, and secure configuration practices.
- Security Monitoring and Incident Triage: Experience analyzing logs, alerts, system activity, and pipeline outputs; investigating and prioritizing risks; documenting findings; and driving issues through remediation or escalation.
- Automation: Proficiency with Python, Bash, or a comparable scripting language to automate operational and security tasks, integrate systems, and reduce manual effort.
- Version Control and Delivery Workflows: Practical experience with Git workflows, Bitbucket pipelines, pull requests, branching strategies, code review, and controlled change management.
- AI-Assisted Engineering: Experience using or governing AI coding assistants and automation tools responsibly, including protecting sensitive information, validating outputs, documenting AI-assisted changes, and applying approved safe-use practices.
- 3+ years of professional experience in cloud operations, DevOps, DevSecOps, cybersecurity, systems engineering, software engineering, or web operations, including hands-on responsibility for production systems.
- Role-relevant certifications such as AWS Certified Solutions Architect – Associate, AWS Certified Security – Specialty, CompTIA Security+, or equivalent are valued but not required.
- Demonstrated professional work involving cloud security, DevSecOps, secure software development, application security, AI infrastructure, or governance of AI-assisted engineering tools is highly desirable.
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