Senior Cloud Operations Engineer (Staff)
SynopsysJob Title
Senior Cloud Operations Engineer (Staff)
Role Summary
Operate and maintain large-scale Linux compute infrastructure that supports EDA workflows across cloud and on-prem environments. The role focuses on reliability, performance, and automation so design and verification teams can meet tape-out deadlines.
Work on a Cloud Operations team providing 24x5 operational support, automation, monitoring, incident response, and cross-team coordination for compute, storage, networking, license servers, and batch schedulers.
Experience Level
Senior - typically requires 5+ years of hands-on Linux systems administration experience supporting compute-intensive environments.
Responsibilities
Primary operational responsibilities and on-call duties.
- Administer CentOS/Alma Linux systems across Azure, AWS, and GCP supporting large-scale EDA compute farms.
- Deploy and manage cloud infrastructure using Terraform and Ansible for compute, storage, and networking.
- Monitor system health and capacity with tools such as Prometheus, Grafana, Elastic Search, or Splunk.
- Troubleshoot complex system, network, and application issues using tcpdump, netstat, journalctl, traceroute, and related diagnostics.
- Manage license servers (FlexLM/FlexNet) and batch schedulers like LSF, SGE, Slurm, or Altair PBS.
- Coordinate tool upgrades, compatibility validation, and installs with CAD/EDA application teams.
- Participate in a monthly rotational shift schedule and provide weekend on-call coverage as needed.
- Create and maintain runbooks and documentation to reduce repeat escalations and accelerate incident resolution.
Requirements
Must-have skills and preferred additions.
- Must-have: 5+ years of hands-on Linux systems administration experience in production, ideally supporting compute-intensive or EDA environments.
- Must-have: Strong proficiency with CentOS, ALMA, or similar Linux distributions.
- Must-have: Hands-on Azure experience preferred; working knowledge of AWS or GCP.
- Must-have: Proven experience with Terraform and Ansible to deploy and manage large-scale infrastructure.
- Must-have: Strong scripting skills in Bash and Python for automation and troubleshooting.
- Must-have: Experience with batch scheduling systems such as LSF, SGE/Univa, Slurm, or Altair PBS.
- Nice-to-have: Familiarity with license management (FlexLM/FlexNet) and monitoring/logging platforms (Prometheus, Grafana, Elasticsearch, Splunk).
- Nice-to-have: Experience troubleshooting networking issues and performing structured root-cause analysis during high-pressure incidents.
Education Requirements
Not specified.
About the Company
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.
