3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Develop and manage enterprise-scale storage infrastructure platforms integrating appliances, networks, and open-source technologies.
- Design and scale Python or Go APIs that enable engineers to run on-demand storage workflows.
- Automate storage provisioning, monitoring, metrics, telemetry, troubleshooting, and reliability operations.
- Integrate observability and tracing into infrastructure workflows to improve accuracy, latency, and efficiency.
- Implement agentic workflows for self-healing, proactive remediation, and reduced operational overhead.
- Prototype integrations between infrastructure services and agentic AI frameworks.
- Document procedures, evaluate technologies, and drive adoption of automation across enterprise storage services.
Requirements
- Bachelor's degree in Computer Science or equivalent experience plus 12+ years of relevant experience, or a master's degree plus 10+ years, or a Ph.D. plus 8+ years.
- Extensive experience building large-scale, multithreaded, distributed backend systems.
- Experience designing and building RESTful APIs with Python or Go.
- Familiarity with Docker and Kubernetes.
- Exposure to AWS, Azure, or GCP.
- Experience with Prometheus, Grafana, Alertmanager, ELK, or Kibana telemetry stacks.
- Ability to collaborate across teams and communicate technical solutions effectively.
- Growth mindset and ability to adopt observability, AI automation, and infrastructure-management frameworks.
- Preferred experience includes open-source infrastructure contributions, Linux storage systems, enterprise NAS, distributed filesystems, S3-compatible object storage, GenAI or agentic application frameworks, observability platforms, and productionizing intelligent automation workflows.
Benefits
- NVIDIA offers highly competitive salaries and a comprehensive benefits package.
- The role offers opportunities to contribute to revenue-driving initiatives and next-generation engineering services.
- The company supports creative and autonomous work and is an equal opportunity employer.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.