Senior Cloud Operations Engineer, Staff

Descriptions & Requirements

Job Description and Requirements

We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You have spent years keeping Linux infrastructure running under real pressure, the kind where a compute farm going down at 2 a.m. means a tape-out slips and someone loses sleep. You know the difference between a system that looks healthy in a dashboard and one that actually stays up when 10,000 simulation jobs hit it at once. You have debugged enough weird failures to know that the answer is rarely in the first log you check, and you are comfortable digging until you find it. Working across cloud and on-prem does not rattle you. You have built things in Azure or AWS using Terraform and Ansible, not because it was trendy but because manual provisioning does not scale. You script in Bash and Python not to show off but to stop doing the same thing twice. When a designer in Singapore cannot access a license server, you do not guess, you pull tcpdump, check journalctl, trace the route, and fix it. You care about uptime because you know the teams depending on your infrastructure are racing deadlines that matter. At Synopsys, you will support compute environments that power chip design work across the company, and what you keep running directly affects whether engineers can do their jobs.

Administer and maintain CentOS/ALMA Linux systems across Azure, AWS, and GCP cloud environments that support large-scale EDA compute farms and design workflows Deploy and manage cloud infrastructure at scale using Terraform and Ansible, handling compute, storage, and networking for simulation, synthesis, and verification workloads Monitor system health, capacity, and performance using Prometheus, Grafana, Elastic Search, or Splunk, catching issues before they affect design teams Troubleshoot complex system, network, and application-level problems using tcpdump, netstat, journalctl, and other diagnostic tools to minimize downtime during critical tape-out windows Manage license servers (FlexLM/FlexNet) and batch scheduling systems like LSF, SGE, Slurm, or Altair PBS that queue simulation and regression jobs Coordinate tool version upgrades, freeware installs, and compatibility validation with CAD and EDA application support teams Participate in rotational shift work (monthly rotation) and on-call weekend coverage, providing front-line support to internal design and verification teams The Impact You Will Have Keep compute infrastructure running so IC design, verification, and physical design teams can meet tape-out deadlines without infrastructure delays Reduce incident response time and system downtime through proactive monitoring, automation, and structured root-cause analysis Scale cloud infrastructure efficiently using Infrastructure as Code, enabling faster provisioning and more reliable deployments across global teams Improve system reliability and performance tuning so simulation and synthesis jobs run faster and more predictably Build runbooks and documentation that help junior admins resolve issues independently and reduce repeat escalations Strengthen cross-team collaboration by translating complex infrastructure problems into clear updates for CAD, DevOps, security, and design engineering teams Support the adoption of AI-powered tools and workflows by maintaining the underlying compute and cloud infrastructure they depend on What You'll Need 5+ years of hands-on Linux systems administration experience, ideally supporting compute-intensive or EDA environments Strong proficiency with CentOS, ALMA, or similar Linux distributions