Cloud Site Reliability, Staff

6 days ago

Hyderabad Telangana, India Synopsys Full time

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.

**Desired Skills**:

- 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.

**Personal attributes**:

- 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

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