Senior Site Reliability Engineer

NVIDIA

. Design and build production-grade automation frameworks, workflows, and data models for provisioning, patching, image deployment, telemetry, and change management at large scale .

Posted 10/27/2026full-timeRemote • California • United StatesSenior💰 $168,000 - $270,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building production-grade automation frameworks and tools, with a strong focus on Kubernetes, Python, and CI/CD practices. Proven ability to manage large-scale infrastructure and improve system reliability through automation and observability.

Highest-signal resume keywords

Kubernetes ExpertisePython DevelopmentCI/CD ToolingData Center AutomationObservability Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation Framework DesignSoftware DevelopmentInfrastructure EngineeringLinux Systems AdministrationContainer TechnologiesOS ProvisioningImage DeploymentPatchingConfiguration ManagementDistributed Tracing

Soft Skills

Excellent CommunicationTechnical Presentation

Tools & Technologies

GrafanaOpenTelemetryPagerDutyDCIM Systems

Industry Keywords

Site Reliability EngineeringProduction EngineeringInfrastructure Software EngineeringCloud InfrastructureBare-Metal Systems

Tech Stack

Tools & technologies

CloudGrafanaKubernetesLinuxPythonGo

About the role

Key responsibilities & impact

Design and build production-grade automation frameworks, workflows, and data models for provisioning, patching, image deployment, telemetry, and change management at large scale
Engage in the complete lifecycle of services from deployment to incident response and long-term reliability improvement
Develop software tools and platforms integrating data center systems, including DCIM, alerting and observability stacks, compute/storage/networking control planes, and CI/CD pipelines
Monitor and handle large-scale GPU and Kubernetes production environments using Grafana, OpenTelemetry, and PagerDuty
Build predictive and auto-healing systems for automated break-fix and self-remediation
Participate in on-call rotations, sustainable incident response, blameless postmortems, and root-cause-focused improvements
Scale systems through automation and self-service tools that improve reliability and engineering velocity
Own the full lifecycle of work from architecture and development through deployment, operations, and continuous improvement

Requirements

What you’ll need

6+ years of experience in SRE, production engineering, or infrastructure software engineering supporting large-scale, highly available environments
BS/BTech in Computer Science, Engineering, Physics, Mathematics, or equivalent experience
Strong software development skills with expertise in Python and/or Go
Ability to design, build, and own production-quality tools and services
Deep knowledge of Kubernetes, Linux systems administration, and/or container technologies
Experience handling large-scale bare-metal and cloud infrastructure
Confirmed experience building data center automation tools covering OS provisioning, image deployment, patching, packaging, and configuration management
Experience with CI/CD tooling and infrastructure-as-code workflows
Strong understanding of observability practices: metrics, logging, distributed tracing, and alerting design
Excellent communication skills with the ability to present technical work persuasively across multi-functional teams
Experience with DCIM systems and asset database design and implementation

Benefits

Comp & perks

Equity
Benefits package
Competitive salary