Staff Systems Engineer – Cloud Operations, Support

Role Overview

• Supporting multiple geological locations to serve user communities across North America, Europe, and Asia sites.
• Focusing on improving customer productivity and committing to customer success.
• Driving the overall operational strategy for internal High-Performance Compute (HPC) clusters in Cadence cloud.
• Maintaining, enhancing, monitoring, reporting, and improving its efficiency.

Requirements

• 8+ years of technical experience architecting, managing, and improving a HPC environment running Linux.
• At least 3 years working in a global group, coordinating support, strategies, projects, and operations across multiple geographies in a team-oriented approach
• Solid understanding and proven operational experience with HPC clusters, job submission/management technologies, cloud, and associated management tools.
• Proven experience working directly with engineering teams to collaboratively develop solutions to optimize their working environment (Direct EDA experience desired)
• Proven experience in capacity and performance management, optimizing performance, ensuring adequate capacity, working with customers on optimization of their workloads, and development and maintenance of key performance indicators
• A proven process focus shown through documentation, change management, incident management and problem-resolution activities
• Extensive hands-on experience with Docker: image management, container orchestration, and troubleshooting.
• Deep expertise in Linux system administration (RHEL preferred), including networking, storage, and performance tuning.
• Familiarity with user authentication and integration using systems like LDAP or Active Directory.
• Solid understanding and proven operational experience with HPC clusters, job submission/management technologies, cloud, and associated management tools.
• Hands-on GPU Cluster Management: Experience in configuration, installation, and optimization of GPU server clusters.
• Hands-on technical experience managing GPU VMS, installing, configuring instances and other services over OpenStack
• Automation & Monitoring: Develop and maintain automation scripts using languages like Python, Bash, or Perl to streamline system maintenance, deployment, and reporting.
• Strong problem-solving and communication skills with the ability to work in a multi platform, cross-functional, and geographically distributed team.

Tech Stack

• Cloud
• Docker
• Linux
• OpenStack
• Perl
• Python

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Professional development