NVIDIA

1 week ago

Senior Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join the cloud service team to support, triage, and build the GeForce NOW cloud gaming platform with SRE practices that improve reliability and product quality. You’ll monitor production service health using metrics, logs, traces, and dashboards; lead incident response and blameless postmortems; and drive observability, automation, and self-service tooling. The role also includes operating Kubernetes-based services and partnering with service owners to improve SLOs.

Location: India, Bengaluru

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Monitor, support, and maintain the reliability, availability, and performance of large-scale GeForce NOW production services across cloud and datacenter environments.
•Participate in production incident triage, troubleshooting, and resolution; support on-call rotation including occasional weekend coverage.
•Monitor service health using metrics, logs, traces, and dashboards to proactively identify reliability, performance, and capacity issues.
•Drive observability initiatives by improving monitoring, alerting, dashboards, and telemetry for faster detection and diagnosis.
•Lead and participate in incident response, root cause analysis, and blameless postmortems; build automation and self-service tools to improve service SLOs and operational efficiency.

Key Requirements

•BS degree in Computer Science, Computer Engineering, Information Technology, or a related technical field (or equivalent experience).
•5+ years supporting and operating mission-critical production services in a live-site environment as an SRE, Production Engineer, or similar role.
•Strong understanding of containerization, microservices architecture, and Kubernetes, including Kubernetes ecosystem components and operational best practices.
•Demonstrated ability to troubleshoot complex production issues, identify root causes, and drive issues to resolution.
•Hands-on experience developing automation using Python, Go, Bash, or similar scripting/programming languages.

Experience:5+ years

Education:Bachelor's in Computer Science, Computer Engineering, Information Technology, or related technical field

Skills:TroubleshootingIncident managementRoot cause analysisBlameless postmortemsOperational excellence

Tech Stack:KubernetesMicroservicesContainerizationPythonGoBashPrometheusGrafanaELKOpenSearchOpenTelemetryAWSAzureGCPMetricsLogsTracesDashboards

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Senior Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: India, Bengaluru

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Monitor, support, and maintain the reliability, availability, and performance of large-scale GeForce NOW production services across cloud and datacenter environments.
•Participate in production incident triage, troubleshooting, and resolution; support on-call rotation including occasional weekend coverage.
•Monitor service health using metrics, logs, traces, and dashboards to proactively identify reliability, performance, and capacity issues.
•Drive observability initiatives by improving monitoring, alerting, dashboards, and telemetry for faster detection and diagnosis.
•Lead and participate in incident response, root cause analysis, and blameless postmortems; build automation and self-service tools to improve service SLOs and operational efficiency.

Key Requirements

•BS degree in Computer Science, Computer Engineering, Information Technology, or a related technical field (or equivalent experience).
•5+ years supporting and operating mission-critical production services in a live-site environment as an SRE, Production Engineer, or similar role.
•Strong understanding of containerization, microservices architecture, and Kubernetes, including Kubernetes ecosystem components and operational best practices.
•Demonstrated ability to troubleshoot complex production issues, identify root causes, and drive issues to resolution.
•Hands-on experience developing automation using Python, Go, Bash, or similar scripting/programming languages.

Experience:5+ years

Education:Bachelor's in Computer Science, Computer Engineering, Information Technology, or related technical field

Skills:TroubleshootingIncident managementRoot cause analysisBlameless postmortemsOperational excellence

Tech Stack:KubernetesMicroservicesContainerizationPythonGoBashPrometheusGrafanaELKOpenSearchOpenTelemetryAWSAzureGCPMetricsLogsTracesDashboards

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor