Summary
What you’ll impact
Our organization is seeking a Senior Site Reliability Engineer focused on HPC storage to design, implement, and optimize on-prem high-performance computing storage solutions integrated with cloud resources. The role involves building automated tooling, documenting best practices, and collaborating with engineering teams to meet infrastructure needs.
Responsibilities
What you'll do
- Design, implement an on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of NVIDIA.
- Design and implement scalable and efficient Storage solutions tailored for data-intensive applications, optimizing performance and cost-effectiveness.
- Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
- Document the general procedures and practices, perform technology evaluations, related to distributed file systems.
- Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements.
- Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization.
Requirements
What you’ll bring
- BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience.
- 8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
- Design, deployment and management of Enterprise NAS solutions like NetApp, Pure Storage and S3 based storage such as cloudian MinIO. Design, deployment, and management of Enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage such as Cloudian MinIO.
- Experience with one or more parallel or distributed filesystems such as Lustre, GPFS.
- Python/Bash/Golang programming/scripting experience.
- Strong Experience operating services in any of the leading Cloud environment [ AWS, Azure or GCP].
- Experience with multiple monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana, Splunk, Zabbix, etc. Familiarity with newer and emerging monitoring products.
- Excellent communication and collaboration skills.