Sr Engineer - Infrastructure Development

Xperi is a publicly traded technology company headquartered in San Jose, CA with employees across North America, Europe, and Asia. It invents, develops, and delivers technologies powering consumer electronics, connected cars, and digital content titles through brands such as DTS®, HD Radio™, and TiVo®.

• At least 4 years of experience as a Linux system administrator/engineer with various Linux distributions.
• Experience with Docker; Kubernetes is a plus.
• Experience with CI/CD tools such as Jenkins, Gerrit, Zuul, and GitHub Actions.
• Scripting and/or programming experience in Python, Bash.
• Experience with configuration-as-a-service technologies.
• Proficiency with configuration management tools like Salt, Ansible, and Terraform.
• Experience using revision control systems (Git).
• Experience with monitoring tools including Zabbix, Prometheus, Grafana, Nagios, and Icinga.
• Cloud experience with AWS is a plus.
• Experience with AI coding assistants (e.g., GitHub Copilot, Claude, ChatGPT) to improve scripting and troubleshooting.
• Ability to work effectively in a fast-paced environment and manage multiple tasks.
• Excellent written and oral communication skills in English.

• Build infrastructure for building C++ projects including distributed compilation on-premises.
• Manage source code management systems.
• Handle secure firmware signing and key management.
• Develop and maintain release management tooling.
• Install and maintain server, network, storage, and build infrastructure both on-premises and in cloud.
• Implement CI / CD pipelines.
• Update scripts and automate tasks using configuration management tools.
• Respond to monitoring alerts to cover critical issues.
• Prioritize and execute project work to achieve team goals.
• Ensure security of managed systems and data.
• Collaborate with other engineers to improve products, troubleshoot issues, and ensure smooth software releases.
• Maintain current knowledge of relevant technologies, equipment, and systems.
• Produce and maintain technical documentation related to operations, change management, and inventories.
• Explore and adopt AI-assisted engineering practices (AI coding assistants, agent-based automation) to improve infrastructure and tooling.