Synopsys IT cloud team is responsible for providing best in class EDA Infrastructure & Design environment in the public cloud, optimized to meet the scale and complexity of the EDA workload. 

As we expand our cloud deployments, we are looking for a talented Site Reliability Engineer with experience of EDA/HPC environments to deliver insights from massive-scale data in real-time. Specifically, we are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a cross-functional team to develop real-world solutions and positive user experiences at every interaction.


Responsibilities 

• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve.
• Implement, maintain, and consult on the observability stack that supports the needs of multiple internal stakeholders.
• Utilize your deep experience and problem-solving skills to help prevent and investigate production issues.
• Participate in the design and implementation of new system layers of high complexity compute environments.
• Researching and recommending specific systems, architectures, and applications, for cloud infrastructure solutions.

• A degree in Computer Science or a related field, with a minimum of 5 years of experience in SRE roles.
• Knowledge of Cloud engineering / architecture with Azure, AWS or GCP.
• Familiarity with containerization technologies such as Docker, Swarm and Kubernetes.
• Knowledge of IaaC / configuration mgmt. / systems automation tools at scale (e.g. Terraform, Ansible, etc.);
• Deep knowledge of Linux OS, Networking and NFS technologies.
• Experience with data stores and search engines such as Elasticsearch is a must. Other technologies like Prometheus, Grafana, and similar technologies is a plus.
• Experience with CI/CD: GitOps / GitHub Actions, ArgoCD, Flux.
• Solid Python programming skills and experience.
• SLURM, Linux, networking and NFS is required.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively with other teams and stakeholders.
• Ability to work in a fast-paced and dynamic environment.
• Experience implementing and delivering monitoring solutions in development, QA, and Production environments.
• Domain Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
• Proven experience in High-Performance Computing environments for HPC/EDA workload.  
• Extremely strong problem-solving / troubleshooting skills. HA and Scalability knowledge and experience
• Proven experience in High-Performance Computing environments for HPC/EDA workload.  

• A team player with strong collaboration skills. Proven communication skills, both verbal and written.
• Passion for continuous learning and knowledge sharing
• Ability to drive continuous improvement and propose innovative solutions