Senior Staff SRE – Compute Platform

NVIDIA · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 10:51 pm IST. This is not a manual review or a confirmation from the employer.

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 10+ years.

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Retained employer experience wording: 10+ yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10+ years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, Kube Virt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. Experience deploying and operating bare-metal infrastructure in a data-center environment, including provisioning, networking, operating-system lifecycle management, and hardware automation. Proficiency in Python, Go, or a comparable programming language, with experience building RESTful services and integrating infrastructure APIs. Experience with Infrastructure as Code and automation tools such as Terraform, Ansible, Chef, or Puppet, along with a solid understanding of TCP/IP networking and infrastructure security. Strong SRE and observability experience, including SLIs, SLOs, error budgets, incident management, monitoring, logging, tracing, and tools such as Open Telemetry, Prometheus, Grafana, ELK Stack, or Splunk. Clear written and interpersonal communication skills, with a record of delivering practical, scalable solutions to complex technical problems. Ways to stand out from the crowd: Experience operating HPC, AI, GPU-accelerated, or general-purpose bare-metal compute infrastructure, including GPU-enabled Kubernetes or Kube Virt clusters. Expertise with VMware v Sphere, Red Hat Open Shift, KVM, Firecracker, Open Stack, or Nutanix AHV. Experience applying generative AI or agentic workflows to improve infrastructure diagnostics, reduce operational toil, and accelerate incident resolution. Experience building secure, integrated operational platforms using APIs, RBAC, service accounts, secrets management, audit controls, workflow orchestration, and infrastructure or incident-management systems. Demonstrated delivery of complex, high-impact infrastructure projects. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Collected experience requirement

10+ years