As an SRE at NVIDIA, you will join a specialized team focused on maintaining high reliability and uptime for both internal and external GPU cloud services. Your day-to-day responsibilities include designing and implementing operational aspects of large-scale Kubernetes clusters, ensuring real-time monitoring, logging, and alerting systems are in place. You’ll engage in the entire lifecycle of services, from initial design to deployment and ongoing maintenance, supporting capacity management and launch reviews. Key tasks involve measuring system health, scaling sustainably through automation, and participating in on-call rotations for production support. The role demands expertise in Linux, networking, containers, and experience with Python, Go, Perl, or Ruby. You’ll work within a culture that values diversity, problem-solving, and continuous improvement, tackling complex challenges in large-scale cloud environments based on Kubernetes and OpenStack.
Skills
Kubernetes
Python
Go
Docker
Linux
Networking
Containers
CI/CD
Terraform
AWS
OpenStack
Prometheus
Grafana
PostgreSQL
GitOps
What you'll do
Lead the design and implementation of operational aspects for large-scale Kubernetes clusters.
Improve service lifecycle from inception through deployment, operation, and refinement.
Maintain live services by monitoring availability, latency, and system health metrics.
Scale systems sustainably using automation to enhance reliability and velocity.
Participate in on-call rotations to support production systems and conduct blameless postmortems.
What we're looking for
16+ years experience in infrastructure automation and distributed systems design.
BS degree in Computer Science or related technical field with coding emphasis.
Proficiency in Python, Go, Perl, or Ruby for system development.
In-depth knowledge of Linux, networking, and container technologies.
Experience with Kubernetes, OpenStack, and Docker in large-scale cloud environments.
Ability to debug, optimize code, and automate routine tasks efficiently.
Systematic problem-solving skills and strong communication abilities.
Market check
Salary context
This
$320,000–$488,750
range sits above
99%
of similar postings on FindRole.
Peer median band
$122,550–$210,900
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$202,000
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.