2 months ago
Pune, India or Bengaluru, IndiaStaff+
Responsibilities
- Lead major incidents end to end, including triage, cross-team coordination, decision-making, and executive communication across global time zones.
- Set technical direction for SRE initiatives that improve reliability, scalability, and developer efficiency across enterprise systems.
- Design, build, and operate distributed systems and Kubernetes-based cloud-native infrastructure.
- Build automation for incident detection, triage, communication, and remediation, including self-healing systems.
- Improve observability and signal quality to detect issues earlier, reduce alert noise, and eliminate dependence on user-reported issues.
- Lead root-cause analysis and convert incident learnings into systemic fixes, automation, and prevention mechanisms.
- Apply LLMs, anomaly detection, and signal correlation to incident triage, summarization, and decision support.
- Champion AI-assisted engineering practices, including coding agents and LLM-powered tooling.
- Partner with Cloud, Platform, Security, and AI/ML teams to define SLOs and error budgets and influence architecture.
- Mentor engineers, conduct design and code reviews, and strengthen the reliability culture in the India organization.
Requirements
- 10+ years of experience in Site Reliability Engineering, Production Engineering, Platform Engineering, or Incident Management roles.
- BS or MS degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Experience acting as an Incident Commander or leading major incident response in complex, high-availability environments.
- Deep understanding of distributed systems, monitoring, reliability engineering, SLIs/SLOs, error budgets, capacity planning, and graceful degradation.
- Strong proficiency in at least one programming language such as Python, Go, or Java.
- Hands-on expertise with AWS, Azure, or GCP and container technologies including Docker and Kubernetes.
- Experience with infrastructure-as-code tooling such as Terraform, AWS CDK, or CloudFormation and CI/CD pipelines.
- Strong Linux/Unix and networking fundamentals and expertise with OpenTelemetry, Prometheus, and Grafana.
- Working knowledge of relational databases such as PostgreSQL and MySQL, including SQL, indexing, and query optimization.
- Familiarity with AI/ML concepts such as LLMs, anomaly detection, and data-driven operations applied to operational workflows.
- Excellent written and verbal communication skills, including executive briefings during high-pressure incidents and influence with senior technical stakeholders.
- Preferred experience building AI-enabled incident-management or automation platforms, applying intelligent triage, RCA generation, and signal correlation, and reducing MTTD and MTTR.
- Preferred experience scaling reliability across distributed teams, follow-the-sun operations, and AI/ML training and inference infrastructure across multiple regions.
- Contributions to open-source infrastructure or observability projects, conference talks, or the broader SRE community are valued.
Benefits
- NVIDIA offers highly competitive salaries and a comprehensive benefits package for employees and their families.
- The role is based in India and is an individual-contributor position with mentoring and technical leadership responsibilities.
Tech Stack
AWSAzureDockerGoGoogle Cloud PlatformGrafanaJavaKubernetesLinuxMySQLPostgreSQLPrometheusPythonSQLTerraform
Categories
Site Reliability
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.