Senior Staff Site Reliability Engineer
NVIDIA Corporation (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 50–90 LPA
Posted on 4 Sept
Reach people at NVIDIA Corporation
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at NVIDIA Corporation you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end major incident management including triage, coordination, decision making, and executive communication across global zones.
- Set technical direction and drive adoption of SRE initiatives to improve reliability, scalability, and developer efficiency across enterprise systems.
- Design, build, and operate distributed and cloud-native systems, develop automation for incident detection and remediation, and apply AI techniques to enhance operational workflows.
Minimum Requirements
- 10+ years experience in Site Reliability Engineering, Production or Platform Engineering, or Incident Management with technical leadership at scale.
- BS or MS in Computer Science, Engineering, or related technical field, or equivalent experience.
- Proven experience as Incident Commander in high-availability environments and deep knowledge of distributed systems reliability principles (SLIs/SLOs, error budgets).
- Proficiency in one programming language (Python, Go, Java), public cloud platforms (AWS/Azure/GCP), Kubernetes/Docker, infrastructure-as-code tools, observability tools (Prometheus, Grafana), and networking fundamentals.
Ideal Candidate Profile
- Experienced in balancing real-time incident leadership with scalable reliability solutions across distributed and multi-region teams.
- Demonstrated ability to build and apply AI/ML tools for incident management and automation that measurably reduce detection and recovery times.
- Track record of ownership and community engagement including contributions to open-source infrastructure or participation in SRE ecosystems.