Nvidia Observability Tech Lead 

United States, California 

929521004

What you will be doing:

• Lead the design, development, and deployment of the observability platform, including metrics, logs, traces, events, alerts, dashboards, and visualizations.

• Collaborate with other teams and customers to understand their observability needs and provide solutions that meet their requirements and expectations.

• Establish and implement observability standards, guidelines, and processes across Nvidia.

• Research, evaluate, and adopt new observability technologies and frameworks that can enhance user experience.

• Provide peer reviews to other engineers including feedback on performance, scalability, security and correctness.

• Work with Data scientists to implement machine learning models for anomaly detection, forecasting, and root cause analysis on logs, metrics, and events.

• Handle large volumes of data and ensure data quality, security, and compliance.

• Develop and operate scalable, reliable, and distributed systems that can handle high traffic and complex workloads.

• Find opportunities to automate remediation of commonly occurring issues to operate systems reliably and efficiently.

What we need to see:

• Bachelor’s degree in computer science and Engineering, or related field, or equivalent experience.

• 15+ years of experience in product development and full stack engineering, with 5+ years of experience in developing and operating observability platforms and solutions, preferably in a cloud-native environment.

• Strong knowledge and experience with observability tools, such as Prometheus, Victoria Metrics, Thanos, Cortex, Loki, Grafana, Alert Manager, ELK/Elastic Stack, Datadog, OpenTelemetry, etc.

• Hands-on knowledge in AIOps tools such as BigPanda, PagerDuty, Elastic Stack, etc.

• Experience with Kubernetes, Nomad, Docker, and microservices architectures as well as experience with streaming services to ingest billions of events using NATS, Kafka, etc

• Proficient in one or more programming languages, such as Go, Python, Java, C#, etc.

• Passionate about observability and delivering high-quality internal platforms.

• Demonstrated experience and expertise in using machine learning and Generative AI to develop solutions such as predictive monitoring, incident diagnosis, summarization and chatbots.

• Experience with developing Observability solutions to monitor On-prem and Public Cloud environments.

• Developed unified cloud observability platform to monitor Network, Compute, Storage, Operating Systems, Security, Applications, SaaS Platforms.

• Understanding of implementing Observability solutions to large scale on-prem Infrastructure and Networking.