Senior Observability Platform Engineer: Scale & Automation

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Systems Software Engineer for the Observability and Telemetry Platform to design, build, and operate large-scale production systems. You’ll combine software and systems engineering to ensure reliability, uptime, and performance while enabling developers to ship changes safely.

You’ll work across Linux, networking, containers, and cloud tooling (Kubernetes, OpenStack, Docker) to reduce manual work, automate routines, and improve scalability and

Qualifications

• BS degree in Computer Science or a related technical field.
• 5+ years of infrastructure automation experience.
• 5+ years delivering infrastructure and observability platforms.
• Experience with Linux, networking and containers.

Responsibilities

• Design, implement and support operational and reliability aspects of large-scale Observability & Telemetry platform.
• Engage in and improve the whole lifecycle of services—from design through deployment and refinement.
• Support services before they go live through design consulting, tooling, capacity management and launch reviews.
• Maintain services once live by measuring availability, latency and health.
• Scale systems via automation and improvements to reliability and velocity.

Skills

Infrastructure automation

Distributed systems

Observability platforms

Python

Go

Perl

Ruby

Linux

Networking

Containers

Education

BS in Computer Science or related field

Tools

Kubernetes

OpenStack

Docker

Grafana

OpenTelemetry

Prometheus

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Systems Software Engineer for the Observability and Telemetry Platform to design, build, and operate large-scale production systems. You’ll combine software and systems engineering to ensure reliability, uptime, and performance while enabling developers to ship changes safely.

You’ll work across Linux, networking, containers, and cloud tooling (Kubernetes, OpenStack, Docker) to reduce manual work, automate routines, and improve scalability and