Join NVIDIA’s Site Reliability Engineering (SRE) team as a senior specialist responsible for ensuring the reliability and uptime of GPU cloud services. You will design, implement, and support large-scale observability and telemetry platforms, focusing on real-time monitoring, logging, and alerting. Your day-to-day involves engaging in all stages of service lifecycle management, from initial design to deployment and ongoing maintenance, while also practicing sustainable incident response and conducting blameless postmortems. Key skills include extensive experience with infrastructure automation, distributed systems, and cloud platforms like Kubernetes and OpenStack, along with proficiency in Python, Go, Perl, or Ruby, and deep knowledge of Linux, networking, and containers. This role demands a systematic problem-solving approach and the ability to automate routine tasks, contributing to the continuous improvement of production systems at scale.
Skills
Kubernetes
Python
Go
Docker
Grafana
OpenTelemetry
Prometheus
Linux
Networking
Containers
CI/CD
Terraform
AWS
Azure
Google Cloud Platform
PostgreSQL
MySQL
Ansible
SaltStack
Bash
Git
Jenkins
What you'll do
Design and implement large-scale Observability & Telemetry platforms focusing on real-time monitoring and alerting.
Engage in the full lifecycle of services from inception to deployment and refinement.
Maintain live services by measuring availability, latency, and system health.
Scale systems sustainably through automation and improve reliability and velocity.
Participate in on-call rotations to support production systems.
Practice sustainable incident response and conduct blameless postmortems.
What we're looking for
BS degree in Computer Science or related technical field with coding experience
15+ years of infrastructure automation and distributed systems design experience
8+ years delivering foundational infrastructure and observability platforms
Proficiency in Python, Go, Perl, or Ruby
In-depth knowledge of Linux, networking, and containers
Experience using Kubernetes, OpenStack, Docker, Grafana, Prometheus, and OpenTelemetry
Strong problem-solving skills and ability to debug/optimize code and automate tasks
Market check
Salary context
This
$248,000–$396,750
range sits above
98%
of similar postings on FindRole.
Peer median band
$127,666–$199,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$137,000–$196,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.