Cloud Support Engineer — Managed Cloud Services

Job Title

Cloud Support Engineer — Managed Cloud Services

Role Summary

Provide customer-facing technical support and operations for secure cloud-based silicon design, HPC, and containerized workloads. Work with platform and engineering teams to maintain availability, performance, and compliance of multi-tenant environments.

The role focuses on Linux systems, OpenStack and/or OpenShift (Kubernetes) platform operations, HPC troubleshooting, automation, and secure operations for export‑restricted data.

Experience Level

Mid-level. Candidates should have hands-on experience operating and supporting cloud and infrastructure platforms (OpenStack/OpenShift/Kubernetes, Linux, HPC) and automation; several years of relevant experience is expected.

Responsibilities

Provide technical support, operate platform infrastructure, and improve operational efficiency while maintaining security and compliance.

• Act as primary technical contact for external customers using secure cloud/HPC platforms; provide timely status updates and resolution.
• Operate and support Linux-based infrastructure: compute, storage, networking, identity services.
• Operate and troubleshoot OpenStack private/hybrid cloud core services (Nova, Neutron, Cinder, Glance, Keystone) and OpenShift/Kubernetes clusters, including upgrades and storage/network integrations.
• Monitor and diagnose HPC cluster performance, job scheduling, throughput, queue health, and scheduler configuration (Slurm, LSF, SGE, or equivalent).
• Troubleshoot license management issues and support license systems (e.g., FlexNet/FLEXlm or equivalent).
• Design, implement, and maintain automation for monitoring, capacity tracking, user provisioning, license usage, and anomaly detection using Python, shell, Perl, or similar.
• Participate in incident response, post‑incident analysis, and maintain runbooks, knowledge bases, and customer documentation.
• Follow security, access control, auditing, and change management procedures for ITAR/CUI environments.

Requirements

Key technical and professional requirements. Must-have items are listed first.

Must-have:

• Hands-on Linux system administration and troubleshooting experience.
• Experience operating and supporting OpenStack and/or OpenShift (Kubernetes) environments.
• Experience supporting HPC or large-scale compute environments and distributed resource managers (Slurm, LSF, SGE, or equivalent).
• Proficiency in automation using Python, shell scripting, Perl, or similar languages.
• Experience with monitoring, logging, and alerting platforms.
• Familiarity with license management systems (e.g., FlexNet / FLEXlm or equivalent).
• Strong customer service skills: ownership, clear communication, and ability to manage multiple concurrent issues.
• Ability to operate within security and compliance processes and participate in incident response.
• U.S. Person status or eligibility as required to support export‑controlled environments.

Nice-to-have:

• Experience supporting EDA, semiconductor, or silicon design environments.
• Experience with cloud-based or on-prem HPC platforms (private, public, hybrid) and infrastructure-as-code/configuration management tools (Ansible, Terraform).
• Experience applying AI-assisted automation in production operations or support.

Education Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

About the Company

Company: Cadence Design Systems

Headquarters: San Jose, California, USA

Cadence Design Systems is a global electronic design automation company that provides software, hardware, and intellectual property for designing advanced semiconductor chips. With over 25 years in the industry, Cadence is known for its innovative technology solutions and has been recognized by Fortune Magazine as one of the 100 Best Companies to Work For. The company is dedicated to solving complex technical challenges in order to enable customers to create revolutionary products and experiences.